DMEXCO 2025 in Cologne was more than just a trade show for us at internetwarriors.de – it was a vibrant marketplace of ideas, a melting pot of innovations, and above all, a confirmation of the topics that move us and our customers every day. With a record attendance of over 40,000 participants and under the motto "Be Bold. Move Forward.", this year's leading trade fair for digital marketing sent a clear signal: The future belongs to the bold, the pioneers, and those who are ready to blaze new trails. In countless inspiring conversations with customers, partners, and industry colleagues, a common thread emerged for us, connecting the central challenges and opportunities of our time: the inseparable linkage of Customer Relationship Management (CRM), the revolution through Artificial Intelligence (AI), and the redefinition of campaign planning in the era of generative models.  The foundation of successful performance campaigns: The CRM feedback loop   A theme that repeatedly came to the forefront in our conversations at DMEXCO 2025 was the immense importance of deep integration of CRM systems in performance marketing campaigns. It's a realization as simple as it is crucial: those who want to successfully generate leads must not merely scratch the surface. The mere generation of contact information is only half the battle. The true value unfolds only when a seamless feedback loop between marketing and sales is established.  This is where CRM comes into play. It is the centerpiece that consolidates all relevant information about a potential customer and tells us what actually became of a generated lead. Was the contact qualified? Did it lead to a sales conversation? Was a contract concluded? This feedback is pure gold for optimizing performance campaigns. Without this feedback, we operate blindly. We see which ads and keywords generate clicks and conversions, but we don't know which truly lead to revenue.  From our extensive practical experience and the intensive discussions at the fair, we can make a clear recommendation. As an official implementation partner of Teamleader in Germany, we have gained deep insights into the capabilities of modern CRM systems. We are convinced that Teamleader unites all critical features to conduct business successfully. From the central contact database, deal tracking, and project management to time tracking and invoicing, the platform offers an all-in-one solution specifically tailored to the needs of agencies and service-oriented SMEs. Seamless integration enables precisely the valuable feedback loop essential for data-driven marketing.  The discussions at DMEXCO showed that companies that have successfully closed this loop deploy their marketing budgets much more efficiently. They can target their campaigns on the channels and audiences that deliver the most valuable customers. In an era where digital advertising costs are steadily rising, and competition is becoming more intense, this data-driven precision is no longer a "nice-to-have," but an absolute must for sustainable success.  Google in transition: The future of search in the age of AI   Of course, the future of AI and Google, along with organic search, was one of the dominant topics in the Cologne exhibition halls. The era of purely keyword-based searches is coming to an end. Generative AI models and the increasing integration of AI into search engine result pages (SERPs) signal a paradigm shift. The question everyone is asking is: How will search change, and what does it mean for our SEO and SEA strategies?  The keynotes and expert lectures at DMEXCO painted a clear picture: search will become more contextual, dialogue-oriented, and personalized. Users no longer just expect a list of links, but direct answers and solutions to their concerns. Google's "Search Generative Experience" (SGE) is just the beginning. The ability to understand complex queries and answer in full sentences will fundamentally change how we search for information.  For us as an agency, this means we need to adapt our content strategies. It's no longer just about optimizing individual keywords but creating comprehensive thematic worlds that holistically answer users' questions. "Topical Authority" will become the new currency in SEO. We must become the experts in our niche and create content that offers real value both for users and AI-driven algorithms.  At the same time, AI also opens new possibilities for paid search. Performance-Max campaigns are a good example of how Google uses AI to automate and optimize the display of ads across the entire Google network. The challenge for us marketers is to provide the AI with the right signals – and{

A specter is haunting the marketing world – the specter of artificial intelligence. But instead of spreading fear, it brings a wave of transformation that redefines the very foundations of our industry. Gone are the days when marketing relied solely on intuition, manual segmentation, and broad campaigns. Today, in 2025, we are in the midst of a revolution driven by algorithms, machine learning, and Large Language Models (LLMs). For us at internetwarriors, it's clear: AI is not a passing trend but the new operating system for successful marketing. But what does that mean exactly? What has really changed? How do you need to adjust your strategies to not just survive but thrive? And how is perhaps the most important component of all – user behavior – changing? This article is your comprehensive guide to marketing in the age of AI. We dive deep into the changes, show you practical strategies, illuminate new user behaviors with current research insights, and look beyond to see which future trends from the USA and Asia will soon be our reality. The new playing field: What AI has fundamentally changed in marketing   Artificial intelligence is more than just another tool in your toolkit. It's the invisible hand that optimizes processes, provides insights, and enables interactions at a speed and precision that were pure science fiction just a few years ago. The core changes can be observed in four key areas: 1. Real-time hyper-personalization:  Previously, personalization was addressing a customer by their name in an email. Today, personalization means presenting the user with exactly the content, product, or message that matches their current need – across all channels. AI algorithms analyze massive amounts of data from user behavior, purchase history, demographic information, and even contextual data (such as weather or location) in milliseconds. The result: Dynamic web content, personalized product recommendations in online stores, and individually tailored ads perceived not as intrusions but as relevant services. 2. Predictive analytics and data-driven forecasts:  Marketing has long been reactive. We analyzed past campaigns to optimize future ones. Marketing AI reverses this principle. Predictive analytics models can predict with high probability which customers are most likely to churn (Customer Churn), which leads have the highest purchase probability (Predictive Lead Scoring), or which products will sell best next season. This foresight allows you to act proactively, distribute budgets more efficiently, and focus your resources on the most promising segments.  3. Automation of content creation and distribution:  Generative AI has revolutionized content creation. Tools like ChatGPT, Jasper, and more advanced, industry-specific models can now create high-quality texts for blogs, social media posts, emails, or product descriptions. But it goes far beyond that: AI systems can also generate images, videos, and even music. For you as a marketer, this means a significant increase in efficiency. Routine tasks that used to take hours are now done in minutes. At the same time, AI enables the creation of content for A/B tests in countless variants and the automatic distribution through the right channels at the right time. 4. Efficiency through intelligent automation:  Besides content creation, AI automates countless other marketing processes. From programmatic buying of ad space (Programmatic Advertising) to intelligent bidding strategies in Google Ads to automatic segmentation of target audiences – AI handles repetitive, data-intensive tasks. This not only results in massive time and cost savings but also minimizes human errors and continuously optimizes campaign performance based on data. The marketing strategy 2025: How to successfully navigate the AI era   A new technological reality requires a new strategic approach. It's not enough to just introduce a few AI marketing tools. Your entire marketing strategy needs to be rethought in the context of AI.  1. From target groups to "Segment-of-One": Your radical personalization strategy  Your central strategy should be hyper-personalization. The goal is no longer to reach a target group but to treat each individual customer as their own segment ("Segment-of-One").  Practical implementation: Invest in a robust Customer Data Platform (CDP) that centralizes all customer data in one place. Use AI-driven personalization engines for your website, online store, and email marketing. These systems dynamically adjust content based on each user's click behavior, dwelling time, and purchase history.  2. Conversational marketing: Dialogue as the new funnel  Users no longer want to fill out forms or be stuck on hold. They expect immediate answers and a direct dialog. AI-powered chatbots and voice assistants provide the solution.  Practical implementation: Implement an intelligent chatbot on your website that not only answers standard questions but also qualifies leads, books appointments, and guides users through the purchasing process. Train the bot with your corporate data to ensure accurate and brand-consistent responses.  3. Content strategy: Quality and AI optimization hand in hand  In the age of AI content creation, the sheer volume of content will explode. To stand out, two things are crucial: first, exceptional, human-centered quality, and second, optimization for AI systems.  Practical implementation: Use generative AI as a tool for ideation, draft creation, and text optimization for SEO. However, the final editing, strategic direction, and emotional depth must come from human experts. At the same time, structure your content (e.g., through Schema.org markup) for easy understanding and prominent placement in answers from AI search engines like Google’s Search Generative Experience (SGE).  4. SEO and AI: The symbiosis for your visibility  SEO and AI are inextricably linked. Google's algorithms, particularly RankBrain and BERT, are deeply rooted in machine learning. The future of search lies in answering complex queries, not just matching keywords.  Practical implementation: Focus on thematic authority (Topic Clusters) rather than individual keywords. Create comprehensive content that fully answers user questions. Use AI tools to analyze SERPs, identify content gaps, and optimize your content for semantic search.  Global outlook: These AI trends from the USA & Asia are defining the future    While we in Europe are beginning to fully harness the potential of AI, the USA and Asia serve as "future labs." Different regulations, a higher risk appetite, and a deep-rooted "mobile-first" culture accelerate the adoption of technologies that will soon dominate our market. Trend 1 from Asia: The "Super-App" ecosystem & Social Commerce 2.0   In Asia, especially China, with apps like WeChat or Alibaba , "Super-Apps" dominate daily life. In these closed ecosystems, digital life unfolds: chatting, shopping, paying, booking services. AI is the glue that enables a seamless, hyper-personalized customer journey within a single platform .  Live-stream shopping on steroids: Forget QVC. In Asia, live streams are interactive events. AI tools analyze viewer comments in real-time to suggest products to the influencer.  Group-buying through AI: AI identifies potential buyers with similar interests and connects them into groups to obtain better prices through joint purchases.  Trend towards conversational commerce: WhatsApp and Instagram are increasingly moving towards this direction. The trend relentlessly moves toward Conversational Commerce . Your first crucial step into this future is to deploy an intelligent chatbot on your website that not only answers standard questions but also qualifies leads, books appointments, and guides users through the purchase process.   Trend 2 from the USA: The autonomous marketing manager   In the USA, the trend is moving from AI assistance to AI autonomy . So-called "agent-based systems" are AI-generated virtual managers that not only assist, but autonomously manage campaigns and make strategic decisions.  The Autonomous Marketing Manager: Instead of saying, "Create 10 social media posts," the AI will decide whether to write blog articles, launch Google Ads, or start an email campaign on its own. It analyzes the market, target audience, and performance to make these decisions.  What does this mean for you? This trend is technologically demanding but will radically change your role as a marketer. Your task will be to centralize your data infrastructure (e.g., with a Customer Data Platform). Only with clean, accessible data can you effectively leverage AI systems to their full potential.  Trend 3 from the USA & Asia: AI influencers and the era of synthetic media   Virtual, AI-generated influencers with millions of followers and contracts with global luxury brands are emerging. They are precursors to a revolution in content creation.  The forebears of change: AI-generated influencers like these herald new possibilities for brands to easily and inexpensively create their synthetic personas, designed to be visually and characteristically tailored to match a brand.  What does this mean for you? In a world where AI anticipation of needs reduces tolerance for irrelevance, marketers should focus on transparency and creativity. Instead of replacing actual people, AI avatars can be used as fantasy figures, futuristic ambassadors, or scalable, personalized video tutorials.  Transforming the marketer: The new era of AI and marketing  AI is changing the expectations and behavior of consumers. They now anticipate immediate responses and direct dialogues in customer interactions. In response to this evolving technological landscape, marketers must evolve their strategies. It is not enough to merely introduce a few AI marketing tools; the entire marketing strategy must be reimagined using AI as a partner rather than a threat.  Develop data competence: You don't have to become a data scientist, but you must learn to interpret data to draw valuable insights.  Focus on strategic planning: Instead of manually setting up A/B tests, your task will be to set strategic directions while the AI optimizes the methodologies to achieve those strategies.  Master creativity and storytelling: In a world where sheer volume of AI-generated content is set to explode, what will make a difference is outstanding, human-centered quality and content optimized for AI systems.  Prompt engineering as a new skill: The quality of a generative AI's output now heavily relies on the quality and creativity of the input and command structure you provide.  Lifelong learning: In the AI-driven world, continual education becomes a necessity rather than an option, as the technologies and methodologies keep evolving.  Conclusion: The future of marketing is a symbiosis with AI   ​​The ubiquitous presence of AI is inevitably shaping expectations and consumer behavior. AI is freeing us from repetitive, manual tasks, giving us the capacity to focus on areas where humans are irreplaceable.  Success will belong to those who understand this new technology not as a threat but as an ally. The winners will be those who combine the analytical power, speed, and scalability of AI with the irreplaceable human qualities of creativity, strategy, and storytelling.  At internetwarriors, we look forward to this future full of opportunities. We see AI as a partner that frees us from repetitive, manual tasks, allowing us to dedicate our capabilities to where humans make the difference. 

Online marketing is constantly evolving, driven by technological innovations. A current example is the introduction of Google's AI Max campaigns. This campaign type is specifically designed for search campaigns and utilizes artificial intelligence to control ads more efficiently. Below, we explain what AI Max for search campaigns is, the benefits it offers, and the requirements it places on advertisers.  Key Points  AI Max is a new campaign feature in Google Ads that uses machine learning for automated ad placements and bidding. AI Max combines existing Google Ads features such as Broad Match, DSA, and automatically generated assets.  The focus is on maximizing conversions and conversion values. AI Max combines traditional search campaigns with AI-driven bidding strategies. Automation reduces management effort but requires clear goals, data, and high-quality assets.  Control is achieved through goal definitions and continuous monitoring of campaign performance. Introduction: What is AI Max?   Google continually develops its advertising platform, increasingly relying on artificial intelligence. With AI Max for search campaigns , a new campaign feature is introduced specifically designed for Google search. AI Max uses machine learning to automatically control ads, adjust bids in real-time, and increase the likelihood of conversions. The goal is to reduce manual effort and enhance the efficiency of search campaigns. How AI Max Works   Unlike traditional search campaigns, Google AI Max heavily relies on automation. Assets, including ad titles, descriptions, sitelinks, or extensions, are provided to the system. The AI combines these components independently and dynamically creates ads that optimally match the respective search query.  Additionally, the system continuously analyzes user signals like location, search history, or interaction patterns. This data is used to identify relevant target audiences and optimize ads in real-time. This makes campaign management significantly more precise and faster than manually possible. 1. Keywordless Technology: Search Ads Without Classic Keywords   A central element is the so-called “keywordless matching.” Instead of relying on exact or phrase match keywords, Google analyzes landing pages, existing assets, and user behavior with AI to serve appropriate search queries. This is reminiscent of Dynamic Search Ads functionality, but in an even more automated framework.  2. Text Automation with AI   The automatically created assets are another building block in AI Max. Google dynamically creates ad texts based on the website, previous ads, and other available data.   3. Final URL Expansion   With final URL expansion, Google may direct users to a different target page than originally set if the AI assumes a better conversion probability exists there. This feature is also based on known DSA campaign mechanics. Benefits of AI Max in Google Ads The introduction of AI Max offers several benefits for advertisers: Time Savings Through Automation : Manual adjustments of bids and ad texts are mostly eliminated. Higher Conversion Probability : Google itself states that AI Max can generate up to 14% more conversions on average. Extended Reach : Ads are no longer only triggered by classic keywords but can also cover additional relevant search queries.  Transparency : New reporting features show how AI makes decisions and what adjustments were made automatically. Despite the advantages, AI Max also carries risks. Automation can lead to unexpected and sometimes uncontrollable results. For example, AI may serve ads for search terms that do not directly align with the brand core or product, leading to irrelevant traffic and reduced efficiency. Another risk is that performance heavily depends on the quality of the provided assets and the data foundation. If these are faulty or insufficient, the AI may draw incorrect conclusions and steer the campaign in the wrong direction. In the worst case, this could result in wasted marketing budgets without achieving the desired results. Especially for clients with limited budgets and insufficient conversions, we currently do not recommend using AI Max. Challenges and Limitations   Reduced Manual Control : Many decisions are taken over by the AI, meaning fewer intervention possibilities.  Dependence on Data Quality : The AI can only work effectively if high-quality assets and precise conversion goals are provided.  Continuous Monitoring Required : Even automated campaigns must be regularly reviewed and adjusted to be successful over the long term. First Practical Insights: What Companies Achieve with AI Max   AI Max is not just a theoretical concept but already delivers real results, as proven by two early case studies from the beta phase that Google itself presents. Both L’Oréal Chile and the Australian provider MyConnect used AI Max and were able to make their search campaigns significantly more efficient.  L’Oréal Chile: Higher Conversion Rates at Lower Costs   The cosmetics giant used AI Max specifically to identify new keyword potentials and increase the relevance of its ads. With success: the conversion rate doubled while the cost-per-conversion decreased by a whopping 31%.  An example shows the potential: The campaigns suddenly targeted search queries like  “what is the best cream for facial dark spots”  – terms that would likely never have been covered with classic keyword strategies. AI Max thus helped to specifically address relevant long-tail intentions without manual setup.  MyConnect: More Leads Through New Search Impulses   The Australian company MyConnect was already using Broad Match and tROAS. Nonetheless, activating AI Max brought clear improvements:  16% more leads  13% lower costs per conversion  30% more conversions from novel search terms  Particularly intriguing: the strong increase in so-called “net-new queries” – search queries previously not covered by the existing keywords or assets. Here lies the real added value of AI Max: it recognizes opportunities that were not visible before. Best Practices for Using AI Max   For AI Max to be successfully used, companies should follow some principles:  Provide High-Quality Assets – Diverse ad titles and descriptions make it easier for AI to optimize.  Define Conversion Goals Clearly – The more precise the goals, the better the AI can control the campaign.  Conduct Regular Analysis – Despite automation, controlling metrics like ROAS, CTR, and conversion rate remains important.  Review Brand Keywords – It may be wise to exclude brand terms to reach new target groups instead of just serving existing search queries. Conclusion: Opportunities and Limits of AI Max   AI Max for Search Campaigns is a step towards greater automation in Google Ads. Companies can benefit from this technology if they strategically prepare their campaigns, set clear goals, and regularly monitor the results.  The AI does not replace a well-founded marketing strategy but complements it. When used correctly, AI Max can help use budgets more efficiently, reduce administrative effort, and enhance performance.  If you want to discover how AI Max or other innovative approaches to Google Ads with AI can help your company, we are here for you as experts in SEO , GEO, and SEA . Contact us today for a free consultation to revolutionize your online marketing strategy. FAQ: Frequently Asked Questions about AI Max   What is the difference between Performance Max and AI Max?   Performance Max covers all Google channels, while AI Max is specifically developed for search ads.  Is AI Max suitable for every company?   AI Max is best suited for companies with clear conversion goals that have enough budget to provide the AI with enough data for learning. For smaller budgets or very specific niche markets, a classic Google Ads campaign or a targeted SEO strategy may be more sensible.  How do I maintain control when so much is automated?   Control is exercised through assets, conversion goals, and regular analysis reports. These provide transparency and show how the AI is optimizing.  Can I exclude keywords?   Yes, excluding keywords is an important best practice. It helps ensure the campaign does not only target users already searching for your brand but also reaches new potential customers. 

Standard search engine optimization was yesterday – today it's also about designing content in such a way that it can be found, understood, and integrated into responses by Large Language Models (LLMs) like ChatGPT, Perplexity, and Google Gemini.  Being cited as a source in AI-generated results not only benefits brand awareness but often also provides valuable backlinks.  However, each LLM has its own focus when it comes to selecting content. In this article, you'll learn how these three models work and how you can tailor your content to their preferences.  An Overview of the Three LLMs   Before we delve into specific tactics, it's worth taking a quick look at how the models function. Each LLM evaluates content according to its own criteria. ChatGPT scores highly with well-structured explanations, Perplexity prioritizes recency and sources, and Gemini uses strong signals from the Google Index and prefers structured and multimedia content. These differences determine which content you should prioritize.  ChatGPT – Creative & Dialogical Content  ChatGPT excels at reproducing content in a natural, human-sounding language. It favors text that is easy to read, provides clear explanations, and is organized in a logical structure.  Preferred Content: Storytelling, illustrative examples, step-by-step explanations  Style: dialogical, accessible, understandable to a wide audience Data Source: Mainly training data, with web access in the Pro version  Success Factor: Evergreen content that is mentioned on many trustworthy sites has a better chance of being included in the model   Perplexity – Research, Sources, Recency   Perplexity is an LLM with integrated real-time web access. The unique aspect: It always shows sources and directly links to them.  Preferred Content: Recent studies, statistics, professional articles, precise analyses  Style: factual, evidence-based, concise  Data Source: Live internet search + structured sources  Success Factor: Clear source citations, publication date, author, imprint – and content that directly addresses the question posed  Extra Tip: FAQ formats and How-To guides are particularly visible because Perplexity often presents answers in a Q&A structure   Google Gemini – Multimodal & SEO-Driven   Gemini is closely linked with the Google ecosystem and uses traditional search data to integrate content into AI responses. Additionally, it can combine text, image, video, and audio.  Preferred Content: SEO-optimized articles, rich snippets, structured data (Schema.org)  Style: informative, well-organized, with visual elements such as infographics or tables  Data Source: Google Search Index + multimodal analysis  Success Factor: Content that already performs well in organic Google ranking has a significantly better chance of appearing in Gemini   Content Priorities in Direct Comparison   There are significant differences between the models. ChatGPT prefers reader-friendly explanations, Perplexity demands recency and sources, and Gemini rewards SEO structure and media diversity. Use this matrix as a guide for your editorial plan.    Criterion   ChatGPT   Perplexity   Google Gemini   Type of Content  Explanatory texts, examples, storytelling Professional articles, data, primary sources SEO structured articles, media mix Recency  more evergreen very high high, based on Google Index Sources indirect via training data direct, visible links Google signals, rich results, markup Format Prose, Q and A sections FAQ, How-to, tables, lists H2 H3 structure, Schema.org, Multimedia Language dialogical, accessible factual, precise  informative, search-intention oriented Optimization Strategies for Each LLM   Even though best practices overlap, focusing on the specific preferences of the models is worthwhile. This way, you can garner more mentions and links.  Optimize for ChatGPT   Begin each key section with the most important answer, followed by brief justifications and at least one example. Explain technical terms in your own words, add a concise definition, and link to additional internal pages if necessary.   Structure is crucial. Use clear H2 and H3, frame frequent user questions as subheadings, and answer them directly in the first paragraph below. Add practical examples, checklists, and small sequences of steps. This increases the chance that passages will be used as complete answers.   Optimize for Perplexity   Build a clean source concept. Name primary sources, use quotes sparingly but precisely, and provide numbers with links and dates. Insert a brief summary with three to five key statements at the beginning of an article.  Make the publication date, author, and company information clearly visible. Regularly update content.   Maintain an FAQ block with real user questions and concise answers of 40 to 80 words. Include tables with important metrics. This increases the likelihood of being directly linked. Additionally, you can bundle in-depth resources and provide them in a resources section at the end.   Optimize for Gemini   Focus on proper on-page fundamentals. Optimize title and meta description, establish a clear heading hierarchy, and use Schema.org markup.  Build internal links with descriptive anchor text to thematically related pages, such as guide articles or service pages. Create media to foster understanding, such as an infographic with process steps or a table with pros and cons. Pay attention to E-E-A-T signals. An author profile with qualifications, references, and contact information builds trust.   Examples of Content Elements that LLMs Favor   Short definition at the beginning, maximum two sentences, directly related to the question.  Explanation section with a real-life example.   Mini checklist with three to five points that makes a task doable.   Table with criteria, such as comparison of methods, costs, or risks.   FAQ section with three to seven real questions.  These building blocks can be used in blog posts, service pages, and knowledge articles. In online shops, they can also function as supplementary guides on category pages.   Common Mistakes That Prevent Mentions   One of the most common mistakes is an unclear structure where users cannot find a direct answer at the beginning of a section immediately. A lack of sources or the use of outdated data also negatively impacts credibility.  If a topic is too broadly covered on just a single page, relevance decreases along with the chance of being mentioned. Furthermore, the absence of publication date and author leads to less trust in the content. Likewise, a lack of internal linking can result in crucial context signals being missed, causing LLMs not to rate the content as particularly relevant.  To avoid these hurdles, you should regularly review existing content, structure it carefully, and update it specifically.  Conclusion   Optimization for LLMs is not futuristic – it is already crucial to remain visible in the new search world.  ChatGPT prefers easily understandable, creative, and well-explained content  Perplexity relies on current, evidence-based, and source-supported content  Gemini accesses SEO-strong, structured, and multimedia content The requirements of ChatGPT, Perplexity, and Gemini vary – but with the right strategy, you can excel in all three models. We support you in developing content that is found, mentioned, and linked not only by search engines but also by AI systems. Get in touch now.    FAQ – Frequently Asked Questions About Content Focus   How do I know if my content is mentioned in LLMs?  With Perplexity, it's easy – sources are linked. With ChatGPT and Gemini, you can test this through targeted queries or monitor it with tracking tools.  Do I need to optimize separately for each LLM?  Yes, as the models have different focuses. However, there are overlaps, e.g., with clear structure and high source quality.  How often should I update content?  For Perplexity and Gemini regularly, as recency is a crucial factor. Evergreen content for ChatGPT should also be maintained. 

The digital marketing world is facing its biggest upheaval since the introduction of mobile-first indexing. Artificial intelligence, particularly in the form of generative answer machines, is redefining the rules of online visibility. In this comprehensive report, we analyze the landscape of AI Tools specifically developed for this new era, and provide you with a strategic compass to not only survive in the world of Generative Engine Optimization (GEO) but to win.  Critical Assessment and Classification of AI Tools   A critical assessment was conducted when integrating the new tools. Tools like Superlines, Rankscale.ai, Kai, ALLMO.ai, Quno, Finseo, Scrunch, SEOMonitor, Ayzeo, LLM Pulse (Generative Pulse), Deepserp, AI Peekaboo, and Evertune were identified as relevant GEO monitoring, content, or hybrid platforms and were integrated into the corresponding sections of the report. Other mentioned tools were deliberately excluded after careful review, as they do not align with the core focus of AI visibility analysis: Behamics is an e-commerce revenue platform, Advanced Web Ranking is a traditional rank tracker without explicit GEO functions, and 'Am I on AI' tools are AI content detectors (which check if a text was written by AI, not what an AI writes about a brand). This differentiation ensures that the report exclusively focuses on the most relevant and direct solutions for Generative Engine Optimization.  The Paradigm Shift in Digital Marketing: Generative Engine Optimization   The emergence of Generative Engine Optimization (GEO) represents the most significant paradigm shift in digital marketing since the introduction of mobile-first indexing. This report provides a comprehensive analysis of the GEO tool market, which is predicted to reach a volume of 7.3 billion USD by 2031. It outlines the bifurcation of the market into established SEO providers (SE Ranking, Semrush) and specialized startups (Profound, Otterly.ai), evaluates their capabilities, and provides a strategic framework for implementation. The key insight is that visibility in AI-generated answers is no longer optional; it is a critical, measurable, and optimizable component of modern brand strategy.  Understanding the New Search Paradigm – Generative Engine Optimization (GEO)   This section provides the strategic context by defining the transition from traditional SEO to optimization for AI-driven answer machines. It familiarizes readers with the new terminology, principles, and technical requirements necessary to compete in this evolving landscape.  Defining the Post-SEO Landscape: From Search Engines to Answer Engines   The fundamental shift in digital search behavior is transitioning from a list of links (Search Engine Results Pages, SERPs) to synthesized, conversational answers provided by generative AI models. This development fundamentally changes the customer journey and optimization goals. While traditional search engine optimization (SEO) focused on achieving clicks, Generative Engine Optimization (GEO) aims to receive citations in AI answers and influence the portrayal of one's brand within these answers. The current market landscape is characterized by a myriad of overlapping terms. For the clarity of this report, the following working definitions are established:  AIO (Artificial Intelligence Optimization): This is the broadest term, often referring to making content machine-readable.  AEO (Answer Engine Optimization): A more specific term that focuses on structuring content to answer direct questions. This targets featured snippets, "People Also Ask" boxes (PAA), and voice search. GEO (Generative Engine Optimization): This is the most current and relevant term. It encompasses the holistic practice of optimizing content and brand signals to appear in AI-generated answers on platforms like ChatGPT, Perplexity, and Google AI Overviews. This report will use GEO as the primary overarching term.   This shift is not just theoretical. The data confirms the urgency and importance of the topic. As of March 2025, 13% of all Google searches already triggered an AI Overview – a 72% increase over the previous month. Moreover, Gartner predicts that the volume of traditional search engine usage will decrease by 25% by 2026 and by 50% or more by 2028, as users increasingly switch to AI assistants.  The coexistence of multiple competing acronyms for a similar concept is a classic sign of an emerging, rapidly evolving market. This indicates not a marketing failure but rather evidence that the practice of AI optimization is solidifying faster than the industry can agree on a unified name.    Core Principles of GEO: A Strategic Framework for AI Visibility   The formalization of GEO as a concept in academic research provides a rigorous theoretical foundation. One of the key insights is that incorporating citations, quotations, and statistics can increase the visibility of a source in AI answers by more than 40%.  The E-E-A-T principles of Google (Experience, Expertise, Authoritativeness, Trustworthiness) are of paramount importance for GEO. AI models are explicitly designed to prioritize credible sources. GEO also requires a shift from isolated keywords to building thematic authority around entities (people, products, concepts). A critical tactic is obtaining unlinked brand mentions (co-citations) in authoritative content.      Metric  Traditional SEO  Generative Engine Optimization (GEO)  Primary Objective   Ranking on the SERP Being cited in the AI answer  Core Unit of Optimization   Website Brand/Entity Key Tactics   Keyword optimization, Backlinking Semantic Structuring, E-E-A-T signals, Co-citations Primary KPIs   Organic Traffic, Keyword Rankings Share of Voice, Mention Frequency, Sentiment Content Focus Long-form Articles  Snippet-ready, Structured Answers Authority Signals Domain Authority, Backlinks Expert Citations, Data Quotes, Reviews   The Technical Foundation: The Critical Role of AI-Friendly Schema and llms.txt    Schema markup is the essential infrastructure that makes content readable for AI systems. It provides explicit context and helps AI differentiate facts from filler.   Best Practices for AI-visible Schema:   Using JSON-LD: The format preferred by Google. Prioritizing Key Schema Types: Organization, Product, FAQPage, HowTo, and Article are particularly effective.  Mapping Visible, Real Content: Do not add schema for invisible content. Completeness and Accuracy: Fewer, but complete properties are better than many incomplete ones. The llms.txt file is emerging as the new standard – similar to the robots.txt – to provide clear guidelines to LLMs on using website content. It can be easily created with free online tools or WordPress plugins like AIOSEO . The robots.txt file, on the other hand, should be set up by experienced SEOs, as even small errors could, in the worst case, result in LLMs being completely excluded from access. Market Analysis and Future Outlook   This section offers a macro perspective on the GEO market, analyzing its size, growth drivers, and future development.   Market Landscape: Sizing the GEO Opportunity and Growth Forecasts   The global market for Generative Engine Optimization (GEO) services was valued at 886 million USD in 2024 and is expected to grow to 7.318 billion USD by 2031, at a compound annual growth rate (CAGR) of 34.0%. This growth is driven by the rapid adoption of AI-powered search by users. The discrepancy between the growth rates of the GEO market (34.0% CAGR) and the traditional AI SEO Tools market (12.6% CAGR) signals market disruption. Budgets will likely be reallocated from traditional channels. Those not investing in GEO risk the erosion of their existing search visibility.   Investments & Innovation: A Look at the GEO Startup Ecosystem   The high growth potential has attracted significant venture capital and led to the emergence of specialized startups like Profound, Otterly.ai, and BrandBeacon. These companies are designed from the ground up for GEO and are driving innovations in areas critical for AI Search Monitoring and AI search tracking , such as real-time brand monitoring in LLMs and sentiment analysis of AI answers.   The Future of Digital Discovery: Expert Perspectives   Experts agree: The change is irreversible. One of the main challenges is measuring GEO successes. Traditional metrics are losing relevance. New KPIs like AI Search Visibility , Share of Voice, and citation frequency are becoming established. LLMs provide "opinions, not lists". If a brand is not among the first mentions, it is practically invisible.   Comparative Analysis of AIO/GEO Visibility Platforms   This is the core of the report: a detailed, feature-based comparison of the key AI Tools on the market.   Evaluation Framework: Key Metrics and Capabilities   To fairly evaluate the tools, we defined a framework with the following criteria:  LLM & Platform Coverage: Which AI engines are monitored?  Core Visibility Metrics: What is measured? (e.g., Share of Voice, Sentiment)  Competitive Analysis: How well are competitors tracked?  Data & Analytics Capabilities: How is the data processed?  Action Orientation & Workflow: Does the tool assist in execution?  User-Friendliness & Target Audience: Who is it designed for?  Pricing & Value: What is the cost structure?   The Established: How SEO Suites Adapt to the AI Era   These players leverage their existing infrastructure to enter the GEO market.  SE Ranking AI Visibility Tracker: An all-in-one platform that combines traditional SEO and GEO. Ideal for SEO professionals and agencies looking for an integrated solution. Semrush AIO: An enterprise solution focused on large-scale benchmarking and unmatched data depth.  SEOMonitor: Specifically developed for agencies to optimize workflows with AI-powered tools. The Challengers: A Deep Dive into Dedicated GEO Monitoring Startups   This category represents the "pure" GEO platforms, which are often more innovative and agile.  Profound: A premium solution for businesses with real-time insights and advanced features like the "Conversation Explorer." Otterly.ai: An Austrian startup with a strong focus on brand safety and risk management. Peec AI: A specialized platform for global businesses with multilingual and cross-country support. Rankscale.ai: Offers an intuitive user interface and AI-generated suggestions for content optimization at the URL level.   Scrunch: Focuses on optimizing the AI customer journey, including journey mapping and persona-based prompting. ... and many more, detailed in the comparison table.    The Big Comparison Table of GEO Tools   Tool  Strategic Focus  Covered LLMs Key Metrics Pricing Model Ideal User Profile SE Ranking Integrated SEO + GEO Google AIO, ChatGPT, Perplexity, Gemini Mentions, Links, SoV Subscription (part of SEO plans) SEO Professionals, Agencies, SMEs Semrush AIO Enterprise Monitoring Google AIO, ChatGPT, Claude, Perplexity, Gemini  Mentions, Sentiment Subscription (Enterprise focus) Large Enterprises, E-commerce Brands  SEOMonitor   Agency Workflow Automation  Google AIO, ChatGPT, Gemini  AIO Visibility, GEO Tracking  Subscription (from €99/month)  SEO and Digital Marketing Agencies  Profound   Enterprise GEO Intelligence  ChatGPT, Perplexity, Gemini, Copilot, Claude  Mentions, Citations, SoV, Sentiment  Premium Subscription ($499+)  Enterprise Brands, Data-Driven Agencies  Otterly.ai   SME Brand Safety  ChatGPT, Perplexity, Google AIO  Rankings, Citations, Brand Safety Warnings  Tiered Subscription ($29+)  PR Teams, Brands in Sensitive Industries  Peec AI   Global GEO Analysis  ChatGPT, Perplexity, Gemini, Claude, Grok  Position Score, Sentiment  Tiered Subscription (€90+)  International Corporations, Global Agencies  Rankscale.ai   Actionable GEO Analysis  ChatGPT, AIOs, Perplexity, etc.  Rankings, Citations, Sentiment  Affordable Subscription (from €20/month)  SEOs seeking quick insights  Scrunch   AI Customer Journey Optimization  Leading LLMs (incl. Grok, Claude)  Sentiment, Competitive Position  Unknown  Agencies, Enterprise Brands  Deepserp   Technical GEO Audit  ChatGPT, Gemini, etc.  AI Crawl Behavior, Citations  Subscription (from $99/month)  Large Websites, Technical SEO Teams  LLMrefs   Freemium Visibility  Key LLMs  LLMrefs Score, Mentions  Freemium ($0 / $79)  Freelancers, Small Businesses  The Specialists: Niche, Integrated, and Hybrid Platforms   This category includes tools that have integrated GEO/AEO functionalities into their core offerings.  Wix AI Visibility Overview: The first major CMS with an integrated tool for tracking AI visibility, an extremely convenient solution for millions of Wix users.  Content & On-Page Optimization Platforms (Rankability, Surfer SEO, etc.): This group focuses on creating content that is structured and semantically rich enough to be cited by AI.  PR-Focused Platforms (LLM Pulse): These solutions highlight which media and sources influence a brand's representation in LLMs.  Strategic Implementation and Recommendations   This final section translates the analysis into an actionable strategy.   Choosing the Right GEO Platform: A Needs-Based Decision Matrix   Selecting the right tool depends on your specific goals.  User Profile  Primary Goal  Top Recommendation(s)  Alternatives  Enterprise Brand Manager Comprehensive Brand Monitoring Profound   Semrush AIO, Peec AI  SEO Agency   Scalable Client Management  SE Ranking   SEOMonitor, Semrush  SME/Startup Owner   Cost-Effective Visibility Tracking  Otterly.ai   Rankscale.ai, LLMrefs  Content Marketer/Strategist   Creating AI-Optimized Content  Rankability   Surfer SEO, Finseo  Technical SEO   Monitoring AI Crawling Capabilities  Deepserp   ALLMO.ai  Building a GEO-Centered Content Strategy: From Audit to Execution   Step 1: Define Requirements & Test Tools: Set your goals and test a shortlist of tools.  Step 2: Conduct Baseline Audit: Use a tool to measure your current AI visibility and identify gaps.  Step 3: Integrate Analytics: Connect GEO data with web analytics (e.g., GA4) to measure ROI.  Step 4: Implement Technical Foundations: Create AI-friendly schema and an llms.txt file.  Step 5: Execute Content Strategy: Create structured, authoritative content that directly answers user queries.  Step 6: Monitor, Iterate, and Report: Continuously track performance and refine your strategy.    Concluding Analysis: Mastering Visibility on the AI Search Front   The synthesis of the findings shows: The GEO tool market is dynamic and bifurcated, yet the underlying principles focus on E-E-A-T and structured data . The shift from search to answer engines is irreversible, making investments in this area a strategic necessity. The most successful approach will be a hybrid: combining in-depth monitoring features of specialized AI Tools with the optimization features of AEO-focused platforms. The winners in the next era of digital marketing will be those who master the art and science of being the most credible, citable, and machine-readable source of information in their field.  Ready for the New Search Reality?   Take advantage of the first-mover advantage in Generative Engine Optimization. We support you in making your brand visible in AI answers – with a well-founded GEO strategy, tool setup, and content optimization.  Talk to our experts and secure your AI visibility of tomorrow!  

Keywords have been an important foundation of search engine optimization from the beginning. But their role has changed, just as the way we use them has, not least due to the increasing dominance of artificial intelligence (AI). We are convinced that keywords are still very important, so this guide will teach you how to find keywords, what to look for when choosing keywords, which tools you can use, and how to optimally use keywords in SEO. What are keywords? In search engine optimization, we refer to keywords or key phrases as the terms or phrases that users enter into search engines in order to find answers, information, content, or products. We use these terms on websites in certain elements to increase the probability of achieving good positions in search results. In SEA (e.g., Google Paid as opposed to SEO = Google Organic), we bid on keywords to display ads for those terms in search results. To make the topic more illustrative, we explain all the points in this blog post using a specific example: a fictional bicycle online shop or bicycle store with a website, namely the topic "bicycle" or "buying a bicycle". The graphic shows a small selection of different relevant related keywords for this topic: Types of keywords We differentiate between different types of keywords. This distinction plays a role in the strategic direction of our content and the priority we give to those keywords. By length: Short Head & Long Tail Keywords In general, there are two different types of keywords that are defined by their length: Short Head Keywords are short, very general terms that generally have a very high search volume but also correspondingly high competition. The intention behind these keywords is not clear. For example: "bicycle" is a Short Head keyword, which can imply a search for information, such as (what types of bicycles are there?), as well as a purchase intention or even a search for images. Long Tail Keywords , on the other hand, are longer, specific phrases or questions. Depending on the topic, the search volume and competition behind them are significantly lower, and the intention is generally clearer. For example: "best e-bikes 2025" or "buy cheap used kids’ bicycle" or "how to patch a bicycle tire?" In addition, you can define " Mid Tail Keywords " that lie between these two types of keywords. By intention: Information, Navigation, or Transaction? Another important classification of keywords is the intention behind the search query: Informational keywords indicate a search for information. These can be the beginning of the user journey, the first step on the way to a purchase. For example: "trekking bike vs. city bike" or "what to consider when buying a bicycle?" Navigation Keywords point to the search for a specific brand, website, or product. For example: "Decathlon bicycles" or "Cube E-bikes". Transactional keywords show a purchase intention. Users are looking for an online shop or a local buying opportunity. For example: "buy trekking bike" or "order gravel bikes". In addition to these classifications, there are other characteristics of keywords, such as search volume (how often is the term searched per month?) or the "Keyword Difficulty" calculated by many SEO tools (the difficulty of ranking in top positions for this keyword in search results). Why are keywords important in search engine optimization? Keywords reveal which terms (and topics) are searched frequently. To improve visibility in search results for relevant keywords, we use these terms on the respective pages. This way, we show search engines that a page (URL) is relevant for a specific topic and the associated terms. Therefore, we research and analyze keywords as the basis of content optimization - to know how and what to optimize. What is the significance of keywords in the age of AI? Are keywords still important in the age of AI? Let’s take a look back and take a short journey through SEO history. The role and significance of keywords have constantly evolved over the last few decades: While about 20 years ago keywords had to be used in their exact form to rank well, Google's language understanding developed over the following years. Various grammatical forms, singular and plural, were recognized as identical terms. Similarly, the connection between synonyms and related terms was recognized - it became about semantics instead of exact keyword matching. We have not been thinking in pure keywords in search engine optimization for many years. Instead, we optimize on topic clusters, naturally supported by keywords. Keywords are still used as the basis, but the context behind them has become significantly more important. A sign of this is that Google often displays websites optimized for a synonym for search queries - Google recognizes that terms mean the same thing. In addition to the clusters, another term has become important: the entity. An entity is a uniquely identifiable object or concept, such as a person, a place, a process. An indication of what Google identifies as an entity includes, among other things, the Knowledge Graph in search results or suggestions for topics or concepts. This can be seen in the example "pedelec": These connections between topics or terms also play a role in AI SEO . Keywords are far from dead; they still serve an important purpose even in the AI age: Keyword analysis helps you understand the terms your (potential) customers use - and to speak the same language as your target audience. Keywords, especially “long tail keywords” like questions, help you better understand the intentions and problems of your target audience and offer corresponding content. Keywords still underpin entities and topic clusters, only they are not used as strictly as they were years ago. It is more important to cover the topic comprehensively and satisfyingly for customers, to meet the intent, and to present yourself as an authority to users and search engines. Keyword analysis - Finding keywords in 3 steps How do we find keywords for our keyword and content strategy? Depending on resources and available time as well as the topic, a keyword analysis can be a complex task. The more general the topic, the more extensive the analysis and the more subtopics and keyword clusters are found. It is easier to research keywords for a single page and a very specific topic. 1. Brainstorming Ideally, you are well-versed in your topic for which you want to find keywords. The first step is always a rough brainstorming session where you jot down all subtopics, terms, and questions related to your topic. With this, you have the first foundation for your analysis on which you can build. If you want to research keywords for an entire website, think of these terms, for example: Your brand name (depending on its popularity, there may be a relevant search volume behind a brand name) Your industry (e.g. bicycle online shop) Categories (e.g. e-bikes, city bikes, mountain bikes, road bikes, kids' bikes, bikes for seniors, accessories, etc.) Brands (e.g. Cube Ebike, Bergamont Bicycle) Products or services (specific product names of bestsellers, e.g. cube kathmandu hybrid pro 750) Frequently asked questions about products or categories (e.g. which bike for commuting) 2. Analyzing keywords on the website If you already have a website or an online shop, you should establish a status quo: for which terms are you already (well) found, and through which terms do you get clicks and impressions? To do this, analyze the terms you find in the performance report in Google Search Console, and for which you get many impressions or clicks and add them to your brainstorming list. If you have access to a professional SEO tool, you will find all keywords for which your domain has a position in the top 100 here. You can filter these keywords by search volume or positions and export this list. This way, you find out where there is already potential on which you can build optimization. Particularly interesting here are the so-called "threshold keywords" - keywords that are "on the verge" of a certain area. Usually, this refers to - depending on the definition - keywords between 11 and 20, which are just before the top 10, or keywords starting from position 4 or 6, which are on the verge of the top 5 or top 3. 3. Keyword research After you probably already have a long list of keywords, it's time to research additional terms. A wide variety of sources and tools are available for this. If you want to conduct particularly comprehensive research, you can use all tools, but you can also focus on just a few if you have identified a sufficient number of keywords through these. Tools for keyword research The bad news first: Good keyword tools that you can work with effectively are always chargeable. Free versions generally limit the number of results or queries per day. You have to enter each keyword individually, instead of analyzing a list of terms, and the filter and export options are mostly restricted or unavailable. Professional SEO tools usually come with a keyword tool where you get important information for your entered terms, such as monthly search volume, as well as related terms that you can cluster and further analyze. Some of the most well-known tools include: Semrush, Ahrefs, Sistrix, Surfer SEO, or the KWfinder from Mangools. Free, limited options are available, for example, through Ubersuggest or Answerthepublic. Both tools offer a paid version as well as free research options. A unique feature of answerthepublic is the focus on long tail keywords. If you run ads on Google Ads, you can use the Google Keyword Planner, which gives you search volume, CPC, and competition for each keyword. Further sources to find keywords Besides the classic keyword tools, there are a whole series of other sources available to find keywords. These include: Google Suggest: Terms suggested by Google when entering terms in the search box Google related terms under search results Google Trends: Development of interest over time, but only for frequently searched terms Questions in Google search results Social Media Hashtags on relevant platforms such as Instagram, TikTok, Pinterest, etc. YouTube Autosuggest: Suggested terms when entering a word in the search Topics on platforms with user-generated content such as Reddit Thesaurus like Woxikon All these screenshots are included, check if you want to use all of them or just a few and how you want to present them: Google Suggest: Google Trends: YouTube Suggest: Woxikon: Google Questions: People also search for in Google: Keyword Gaps A very valuable analysis is the so-called "Keyword Gap Analysis", where you compare your website or online shop with one or more relevant competitors. Here, not only direct competitors are relevant (in our example other bicycle online shops), but all websites that are present for your topic in the search results (for example, an online magazine about bicycles). Using a professional keyword tool, the domains can be compared, and you receive a list of keywords for which your competitors are already ranking in the search results, but your domain is not yet. From this, opportunities arise to expand the website or shop, for example, to include new subcategories or new blog posts. Create a keyword strategy What do you do now with the many keywords you have found through the various sources? The first step is always to cluster these keywords thematically to get a better overview. These clusters can, for example, be oriented along the structure in your online shop and the type of page: Homepage Keywords (most general terms and brand, e.g. bicycle online shop) Categories (e.g. mountain bikes, road bikes, kids' bikes, etc.) Subcategories (e.g. 16-inch bikes, dirt bikes, folding bikes, etc.) Product keywords (e.g. Cube Agree c62, Bergamot Sponsor Tour S, etc.) Guide keywords (e.g. what to consider when buying a bike, what is a trekking bike, adjusting hub gears, etc.) FAQ -Keywords (e.g. what frame size for a bike, how long does an e-bike battery last, etc.) What makes a good keyword? Out of the large number of keywords you have researched and clustered, you will not be able to use all of them. Therefore, it is important to evaluate and prioritize these keywords. Various criteria are important for this, and prioritization also depends on your strategic goals and your industry: Relevance: all keywords must be relevant to your business (if you don’t sell road bikes, the keyword "buy road bike" is irrelevant) Search Volume: a higher search volume means a higher probability of generating traffic. However, for niche industries, search volume is not the decisive factor. A more suitable keyword with a lower search volume can be more valuable than a more general one with high search volume. The goal is to find the optimal balance. The intention behind the keyword: The intent behind the search query must always match what users find on the page. Keywords indicating purchase intent (e.g., "buy mountain bike") are less important for a pure online magazine than informational keywords. Conversion probability: For an online shop, keywords with a relation to purchases are particularly valuable, as they are more likely to lead to a conversion than informational keywords. The more specific the term (for example, a product name), the higher the chance that someone will buy. Keywords for blog posts usually do not detract from this point. The competitive situation: Keywords with high competition (for which many large domains rank that have been on the market for a long time and have built up trust and authority) can be too big a challenge for new domains or smaller websites at first. It can take years to rank well for highly competitive keywords. Instead, keywords with less competition can achieve quicker results. Possible existing rankings: It is generally easier to improve keywords for which there is already a ranking, than to be found for brand new keywords. This is particularly true for keywords in threshold positions. Summary: a good keyword Has high relevance for your business Has relevant search volume Covers the appropriate intention Has a high conversion probability Has low to medium competition May already have existing rankings that can be improved. There is no blueprint for assessing and prioritizing keywords and creating a keyword strategy that can be applied to every industry and company. It requires both experience and a general company and marketing strategy to which the keyword strategy is adapted. We can therefore only give you suggestions at this point but are happy to support you in creating a professional keyword strategy! Keyword Mapping The most important step in the keyword strategy is creating a so-called keyword mapping. This involves assigning keywords to target pages (either existing pages or newly planned pages). It’s important: For each important keyword, exactly one page is defined that should rank for it Each important page is assigned a keyword set of 1-2 main keywords and several secondary keywords This setup prevents multiple pages from competing for the same keyword (the result can be that neither page ranks if Google is unsure which is the more relevant page - the so-called “cannibalization”). You can also identify which important keywords still lack a suitable target page. Based on this keyword mapping, you can then plan and optimize your content. Content Strategy Once we have assigned the keywords to the appropriate, existing, or new pages, we can create an editorial plan from them, in which all topics are included, for which we need to optimize pages or create new texts. For example, with bicycles, this could include these texts and pages: Children’s bicycles : the category page for children is supplemented with a guide, a product comparison, and buying advice. Buy bicycle under 500 dollars : either a category page or a filter page with the appropriate criteria or a blog post with a product comparison Best bike for beginners : blog post with a product comparison and buying advice Buy a bike with hub gears : the appropriate category page is supplemented with relevant content (comparison of hub gears and derailleur gears, advantages of hub gears, most popular bikes with hub gears, etc.) What to consider when buying a bicycle : guide article for the blog with an overview of different types of bicycles, criteria for purchase (usage, size, features, etc.), online purchase vs. local purchase, etc. Buy bicycle in #city : landing page of the own local shop with an overview of the assortment, address, maps, opening hours, etc. Using keywords The use of keywords could fill another long article, so we would like to give you an overview of the most important elements on a website or in an online shop where you should use keywords: In the metadata (page title/title tag and meta description/page description) In the headlines In the text In filenames of images and image descriptions In internal links Caution: Avoid keyword stuffing! One of the biggest mistakes in using your researched keywords is repeating the same keywords too often. If your text sounds unnatural because you've stuffed it with too many identical or similar terms, no one will want to read it, and search engines will likely evaluate it as "keyword stuffing." Make sure you always write content for users. Use synonyms and related terms and avoid pure lists of keywords or even grammatically incorrect use of terms just to cover a keyword exactly. The focus is on providing relevant, helpful content for your target audience, using relevant keywords naturally! SEO vs. SEA Keywords Effective SEO keyword strategies also benefit paid channels. Many synergies can be created between SEO and SEA (especially Google Ads), for example, by using the same keywords for organic optimization and paid ads and occupying two positions in search results with your website: one paid and one unpaid. A keyword and content strategy for search engine optimization can also be used in the SEA area SEA can also be used nicely for A/B testing ad texts and CTAs (call-to-actions) that can be used in the metadata (page title and meta description). Also, optimizing page content and using the most searched keywords helps for SEA - for example, to improve the quality score and pay low click prices. To gain the greatest benefit, the insights of both channels can be combined - which is why a company greatly benefits when SEO and SEA are in one hand. Incidentally, at internetwarriors, we have both long-standing SEO and SEA expertise in the team! A tailor-made keyword & content strategy for you Finding the right keywords and deriving an effective strategy that matches your business goals can be a challenge. The SEO experts at internetwarriors are happy to assist you. We analyze your website, your industry, and your potentials, research the appropriate keywords, and create an individual content strategy for you. We are also happy to help you optimize the content or create new content or train you and your team on how to use keywords effectively - even in the age of AI.

Server Side Tracking is the new standard. A significant advantage is the control provided over the data flow, especially user data. In this article, we discuss Server Side Tracking using Google Tag Manager as an example and review its benefits and which user data is sent. But first, the important question: What is Server Side Tracking? In short: Server Side Tracking is a data collection method where the tracking information is processed not in the browser but directly through the server of the website operator and forwarded to analysis or marketing tools afterward. The traditional tracking method is Client Side Tracking (CTS) , where a code snippet is embedded in the page, for example, via the Google Tag Manager. This sends event data directly to third-party services like Google Analytics 4, Meta Ads, etc. However, control over the sent user data (IP address, demographic data, etc.) is limited to the adjustments offered by the tool. Additionally, a third-party cookie is usually set, resulting in loss of data amount and quality.   Figure 1: Comparison of Client-side and Server-side tagging With Server Side Tracking (SST) , all data is first sent to a private server, where, for example, the Server Side Google Tag Manager is running. This ensures that there is no undesired data transfer occurring on the website with the users. This transfer happens only in the Google Tag Manager Server Side. However, this can then be adapted to a data protection-compliant standard by clear insight into the data and further configuration options like transformers . Server Side Tracking vs. Client Side Tracking The traditional Client Side Tracking (CST) is still widespread but increasingly reaching its limits. In CST, tracking scripts are executed directly in the user’s browser, sending data like page views, clicks, or conversions to third-party tools. However, this approach is very susceptible to modern tracking protection measures such as ad blockers, VPNs, intelligent tracking prevention (ITP) in iOS/Safari, and various data protection regulations. In contrast, Server Side Tracking (SST) uses a different approach: Tracking data is no longer sent directly from the browser to external tools but first to the server. This acts as a proxy or central data hub through which all tracking requests run. The server request is treated similarly to an API request and is thus less vulnerable to blocking . Additionally, all data processing takes place within one's infrastructure , significantly reducing the risk when dealing with data protection authorities. Another difference lies in the use of cookies: While Client Side Tracking relies on third-party cookies – which are increasingly blocked by browsers – Server Side Tracking prefers first-party cookies , considered more trustworthy and stable. Why is Server Side Tracking now standard? While Client Side Tracking is increasingly losing its effectiveness due to growing restrictions, Server Side Tracking offers a future-proof, high-performance, and privacy-friendly alternative – with significantly higher data quality and control for companies. Overview of the benefits of Server Side Tracking: More data control : Unlike the specifications of external tracking tags, companies with SST retain full control over the collected data. Higher data quality : SST can often bypass ad blockers and tracking protection measures, typically leading to at least 12% more data. Performance advantages : Instead of addressing many individual tracking tools directly from the browser, only one server is contacted – conserving resources and improving website load time. Data protection compliance : By processing exclusively within their server structure, companies can better respond to legal requirements. Server Side Tracking and Data Protection Regulations Server Side Tracking offers not only technical advantages but also a significantly better basis concerning data protection laws. The main legal regulations in the European area are the GDPR, the TTDSG, and the EU-USA Data Privacy Framework.  An overview: General Data Protection Regulation (GDPR) The General Data Protection Regulation ( GDPR ) mandates that personal data – which can be traced back to a real person, such as name, email address, or IP address – may only be collected and processed with the explicit consent of the users (e.g., through a cookie banner). It has been applicable in all EU member states since May 25, 2018, forming the central legal framework for handling personal data in the European area. The GDPR requires companies to inform transparently which data is collected for what purpose and how long it will be stored. Additionally, users must be able to object to processing or revoke consent at any time. For tracking, this means: No data may be collected or shared with third parties without clear and voluntary consent – even if the technology allows it. Violations of the GDPR can result in hefty fines. Server Side Tracking offers the advantage that data collection, storage, and sharing can be centrally controlled and better documented – facilitating GDPR-compliant implementation. Telecommunications-Telemedia Data Protection Act (TTDSG) The TTDSG (Telecommunications-Telemedia Data Protection Act) supplements the GDPR specifically for online services and stipulates that no arbitrary user data , especially through cookies or similar technologies, may be stored or read without prior consent . The law came into force on December 1, 2021, merging central data protection requirements from the GDPR and the German Telemedia Act (TMG) as well as the Telecommunications Act (TKG).  For online tracking, this means: Even setting a cookie that is not purely technically necessary requires active, informed consent from users, for example, through a consent banner. Tracking methods attempting to create user profiles without consent – even through technologies like fingerprinting – are prohibited under the TTDSG. This tightens the requirements for data-driven online marketing measures and underscores the necessity to make tracking privacy-compliant and transparent – something that is much better controlled with Server Side Tracking. EU-USA Data Privacy Framework Particularly relevant for international companies is the new EU-USA Data Privacy Framework , which facilitates transatlantic data transfer and has been in effect since summer 2023. Previously, it was problematic to send personal data to US services because US authorities had extensive access to it by law. The new agreement creates more legal certainty when US services like Google or Meta are used – but only if the services are certified under the new framework. These are just a few of the laws affecting tracking. Therefore, an understanding of user data is important. Conclusion: Why does Server Side Tracking offer more data protection compliance? Server Side Tracking allows the entire data processing to initially run through one's server infrastructure. This means: Tracking occurs not directly with the users but only after explicit consent and under full control of data processing on one's server. This allows the requirements of data protection laws to be better implemented, such as targeted anonymization , pseudonymization , or restriction of data sharing with third parties . Overall, Server Side Tracking enables a more data protection-compliant handling of user data, allowing companies to maintain oversight and control – which is essential under the current regulatory framework. What user data is sent with Server Side Tracking? The good news: Only the absolute minimum. What does this mean? Using Google Tag Manager as an example: When an event on the page, like a click, is triggered, an HTTP request is sent to the Server Side Google Tag Manager . Naturally, HTTP header information is sent along. This includes, among others: Time IP address Page URL Approximate location (by IP address) Operating system Browser Resolution Device Additionally, there are other parameters specifically related to configuration. Detailed information can be found in the documentation at [ https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers ]. There are also parameters automatically captured by Google Tag for campaign optimization, which include: utm_source utm_medium utm_campaign utm_content utm_term and the Click ID It should also be ensured which data is user-defined sent with the Google Tag Manager configuration. In the Server Side Google Tag Manager, users can configure precisely through the use of transformers, which specific data should be forwarded in what form and which should be withheld. However, for a data-secure implementation, the conclusion should be: “ Track only as much data as needed .” The challenge is to limit tracking to what is necessary without incurring disadvantages. We set up correct Server Side Tracking for you The Internetwarriors are a team of experts in various fields of online marketing. One of our main focuses is web analytics and Server-Side Tracking (SST). With extensive expertise and a profound understanding of the latest trends and technologies in digital analytics, we offer tailored solutions to optimize our clients' online presence. We are thus a valuable partner for you when you want to set up professional tracking that provides all the data you need for strategic decisions and monitoring your online marketing activities. Contact us now without obligation !

Website usability means that users can reach their goals without frustration, overthinking, or detours—whether their goal is to get information, make a purchase, download something, or get in touch. The easier and smoother your website is to use, the more likely visitors are to stay—and come back.  Good usability not only saves time but also builds trust and improves the perception of your company or brand. Especially in the digital market, just a few seconds often determine whether someone stays or leaves. Therefore, it's crucial that your website is logically structured, easy to understand, and technically impeccable—for all users, on every device. In this article, we'll provide you with an overview of the fundamentals of website usability, explain why it's so important, and outline which aspects you should consider. What is Usability? Usability can be translated as "usability" and describes the ability to achieve the desired result without difficulty. The term "user-friendliness" is also often used. Optimal usability means that a product, service, or website fulfills its intended purpose precisely. On a website, this could mean a completed purchase, the provision of relevant information, strengthening your brand, etc., depending on the intention. Usability is a key factor in determining whether and to what extent visitors engage with your website content or move on to another site. It is an important factor in customer satisfaction and website quality. A usability analysis can help identify errors, weaknesses, and opportunities for improvement on the website. What does Usability encompass? Website usability includes all aspects that affect the user-friendliness of a website—how simple, understandable, efficient, and pleasant it is to use. Many factors interact to create a positive user experience. Specifically, they include: Navigation and Structure: Clear page layout (e.g., an easy-to-navigate menu, logical hierarchy), simple, logical navigation, breadcrumb navigation, and an easily searchable effective search function Layout and Design: A consistent layout across all pages, a visual hierarchy (important elements stand out), responsive design (works on all devices), and appropriate use of colors, font sizes, and spacing Content and Language: Clear, understandable language, relevant, up-to-date content, good readability (paragraphs, titles, lists), and accessibility (e.g., alt text, contrasts, keyboard accessibility) Interactivity and Feedback: Meaningful feedback (e.g., after clicks, forms), helpful and friendly error messages, and buttons and links that are clearly recognizable Loading Times and Performance: Fast loading times of pages and content and technical stability (no crashes, malfunctions) Accessibility: Support for screen readers, keyboard operability, good color contrasts, and scalable font sizes Trust and Security: SSL encryption, transparent data protection information, and a professional appearance (e.g., legal notice, contact information) Conversion Support: Clear calls to action (e.g., "Buy Now," "Learn More"), no distractions from the actual purpose of the page, and support for processes like forms or checkout What are the Goals of Website Usability? The goals of website usability are aimed at designing websites so they can be used effectively, efficiently, and satisfactorily by users. Interaction should be as intuitive as possible to lead to the desired outcome. Jakob Nielsen - one of the leading experts on usability, who has been studying the topic for decades - developed 5 key criteria of usability : 1. Learnability Goal: New users should be able to quickly understand and use the website. Navigation, structure, and functions must be intuitive . Example: A first-time visitor immediately understands where to find information or how to make a purchase. 2. Efficiency Goal: Experienced users should be able to complete their tasks quickly and effectively . Optimized workflows, fast loading times, and clear paths lead to goal achievement. Example: A repeat customer can reorder with just a few clicks. 3. Memorability Goal: Users who haven’t visited the website for a while should be able to easily use it again. This is helped by consistent design, familiar symbols, and a logical structure. Example: A user remembers how to find customer support even after weeks. 4. Errors (Error Prevention and Handling) Goal: The website should be as error-tolerant as possible and help users avoid or correct errors. This can be achieved through clear and understandable error messages, opportunities for correction, or well-thought-out forms. Example: An incomplete form clearly indicates what is missing without deleting all input. 5. Satisfaction Goal: Using the website should be a pleasant experience and generate positive feelings. An appealing design, useful content, and easy navigation lead to higher satisfaction among users. Example: A user-friendly interface with clear texts provides trust and enjoyment while using the site. How Can Usability Be Measured? Measuring usability means systematically evaluating the user-friendliness of a product or website using specific criteria, tasks, and user tests. While usability is partly subjective, it can be objectively measured if you use the right methods. Aspects of the above five listed criteria - learnability, efficiency, memorability, error prevention, and satisfaction - are often tested. Various methods are employed for measurement: Usability tests with users who have to perform specific tasks Questionnaires filled out by users after a test An expert examination based on specific criteria (does not replace user testing) Analysis of analytics and user behavior through web analysis tools, heatmaps, or mouse tracking A/B testing - different versions are tested against specific questions and data Why is Usability Important? There are numerous positive impacts of good website usability and just as many reasons why you should pay attention to good user-friendliness. It makes it easier for users to navigate your website, helps you stand out from the competition, and enhances the impression you leave on potential customers. Let's take a closer look at the individual reasons: Users Want to Be Guided A good website makes it easier for users to navigate. It allows them to quickly get to their desired goal (completing a purchase, downloading a document, finding the needed information) without thinking too much. The offered content should be self-explanatory in terms of the positive user experience. In fact, users don't want to think about how to do something on a website. They want to be guided and don't want to search laboriously for certain elements and "discover" the website on their own. They want to intuitively reach their desired goal as quickly as possible. The content offered needs to be self-explanatory for a positive user experience, and any interactive elements should be directly usable. Website Usability as a Competitive Factor The lack of willingness to stay on a website just because is partly due to the market situation. In the online world, a competitor is just one click away. Unlike a physical shopping street, there's no need to walk past a series of stores. The reality is usually different. Most companies don’t have the luxury of offering something so unique (services, physical products, digital products like apps) that users would endure a cumbersome website. Instead, well-prepared and easily accessible website content has the power to convince users to complete conversions on your site rather than a competitor's, making usability a crucial competitive factor. Your website needs to make a good impression from the first second. Many website owners are unaware that users often judge the entire company based on their first impression of the website. A poorly maintained website can negatively impact the entire company's image. Users might question whether the company is capable of offering good service if it can't even manage to keep basic things on the website in order. While this assumption is often incorrect, it illustrates the potential consequences of poor website usability. Usability is More Than Just Good Design The challenge in website design is that it's unlike any other medium because people often have different expectations for how websites are used versus how they're actually used. When website owners and designers sketch out a site, they have a certain image in mind. It's often assumed that users will study all the content thoroughly. But in reality, users often only skim through a page initially. They quickly scan the text and click on the first link that seems interesting or appears to be the closest to their searched goal. As a result, a large portion of the page might not be actively noticed by your users. How users read a webpage greatly depends on their goal in mind. They focus on words and phrases that match their personal interests, known as trigger words. If they don't find these on your website, it can still be beautifully designed and contain seemingly informative content, but it won’t hold their interest. Technical Performance is Part of Usability too Besides graphical design, technical preparation is a key aspect of usability. While large images, videos, interactive graphics, and other moving elements may look visually appealing, they significantly increase loading time. The problem is not all users have access to a fast internet connection. Ideally, a good load time is important for two main reasons: it reduces the chance that visitors lose patience and leave the website, and page load time is becoming an increasingly important ranking factor for search engines. Usability Engineering Usability engineering is a structured and systematic process for developing user-friendly systems, where the usability of a product—or, in this case, a website—is deliberately planned, tested, and improved throughout the development process. This means that usability should ideally be considered from the conception of a website or a relaunch. Good usability doesn't happen by chance; it's systematically planned and tested. SEO and Usability – A Strong Team SEO ensures the necessary flow of traffic through organic search results. But you shouldn't focus solely on generating traffic. Without usability, your visitors will quickly leave again, often without converting. If you only focus on usability, you will reach a significantly smaller group of visitors who may convert well, but due to the small number, may not generate enough revenue to financially sustain the company behind it. Choosing usability doesn't necessarily mean writing off SEO. If you think SEO is just about ranking first in Google's organic search results and driving traffic to the website, you're not thinking broadly enough. SEO measures aim not only for top placement in search results but also ensure that users can find their way around the site. This goal is shared with usability. Classic OnPage SEO measures include, for example: Clear page structure Logical navigation Breadcrumbs and HTML sitemaps Pagination Avoidance of 404 error pages Logical internal linking On closer inspection, it becomes clear that these points simultaneously significantly improve user navigation. So, there are indeed significant intersections between the two online marketing disciplines, which do not contradict each other. Good SEO specialists and user experience managers are aware of this close connection and ensure that all elements of the website complement each other effectively. Website Usability and Accessibility/Accessibility In the context of website usability, the topic of accessibility is also important. Both disciplines pursue the same goal of facilitating the use of websites, but they are approached from different perspectives: Usability aims to improve user-friendliness for as many people as possible. Accessibility seeks to make the website fully usable for people with disabilities (especially visual and hearing impairments). Numerous measures improve both web usability and accessibility (for example, a clear structure and understandable language or good contrasts). Accessibility also requires compliance with technical standards such as the WCAG (Web Content Accessibility Guidelines), including screen reader compatibility or alternative texts for images. Since the Accessibility Enhancement Act , you should assess (or have assessed) whether your website is not only user-friendly but also accessible. This is important to ensure that people with disabilities can use your website without restriction. Usability issues usually only become apparent when expected conversions don’t occur. Retrospective improvements can be expensive or, in extreme cases, unworkable. That's why you should focus on a good user experience at the launch or relaunch of your website. However, this doesn't mean that you should completely disregard usability in favor of SEO. Those who believe that SEO is only about ranking first in organic search results and driving traffic to the website are thinking too narrowly. In addition to good placement in organic search results, SEO measures also aim to ensure that users can navigate the website. This goal is shared by search engine optimization with usability.

Microsoft Advertising (previously known as “ Bing Ads ”) is a powerful addition to Google Ads, offering numerous advantages such as comparatively lower click prices and advanced targeting options.  Are you already using Microsoft Ads, or have you limited your advertising to Google so far? In this article, we explore why it's more worthwhile than ever for companies to invest in Microsoft Advertising , what differences and benefits the platform offers, and why the topic of generative AI should not be overlooked. What is Microsoft Advertising (Bing Ads)? To begin, here's a brief overview: Microsoft Ads (formerly known as “Bing Ads”) is Microsoft's advertising platform , enabling companies to engage in search engine marketing (SEM), similar to Google Ads. Ads primarily appear on Bing's search results pages, but also on Yahoo, AOL, and partner networks, as well as in Microsoft products like Edge, Outlook, Windows, and the Microsoft Audience Network. Microsoft Advertising was launched as “Microsoft adCenter” in 2006, rebranded to “Bing Ads” in 2009, and finally to “Microsoft Ads” in 2019. With Microsoft Ads, for example, it’s possible to run keyword-based Text Ads (Search Ads) and also offers Shopping Ads that require a Microsoft Merchant Center feed, Responsive Search Ads , as well as native advertising in the Microsoft Audience Network and Remarketing . Bing in Search Engine Ranking and Technological Innovations When people search the internet, they often “Google.” Over time, the term “Googling” has become embedded in the language of most people and even made it into the 23rd edition of the Duden in 2004. It’s perhaps no surprise that “Googling” originated from the namesake search engine. Other search engines still remain in Google's shadow, often slipping from memory when it comes to marketing efforts. But is this justified? Bing may not automatically come to mind first when thinking about internet research. Nonetheless, the platform has undergone many positive changes and established itself as a solid alternative to Google. In recent years, Bing's market share has steadily grown , while Google currently remains stable (albeit at a high level). According to Statista, Bing's market share was 11.75% globally in April 2025, compared to around 8% three years prior. In Germany, Bing even holds a 15% market share . The Microsoft Search Network leveraged by Bing includes other search engines such as Yahoo!, DuckDuckGo, and Ecosia, collectively reaching a significant number of users. This enhances the opportunities for advertisers on Microsoft Ads and increases the potential visibility of their ads. While the Microsoft Search Network still falls short of Google in absolute terms, it has carved out a stable place in the market. It is expected that Bing’s market share will continue to rise, as more people seek alternative search engines in an era of growing privacy concerns. Microsoft, like Google, continually invests in technological innovations to make Bing more appealing to users. This is demonstrated not only by the new AI features continually being implemented in Bing , but also by a general massive increase in interest around Artificial Intelligence among internet users. This development naturally benefits Microsoft Ads as well. For example, Microsoft Office products offer the possibility of integrating Copilot into an extended license. Copilot is Microsoft’s AI-based agent that draws on Bing as a search engine when needed. Advantages of Microsoft Advertising over Google Ads An important factor that sets Bing apart from Google is the demographic composition of its users. While Google appeals to a broad audience, Bing is particularly popular among middle-aged individuals and business professionals . This can be advantageous for companies looking to target these specific audiences. Decision-makers and influencers can be particularly well-reached this way. Often overlooked, but just as important: On most work PCs running Windows, Microsoft Edge is the default browser, making Bing the default search engine . Cortana also pulls its results from there. This greatly increases the likelihood that a search query on Bing will occur in a business-relevant context. Additionally, the majority of traffic consists of desktop users. These factors can further positively influence the quality of traffic . Another advantage of Microsoft Advertising is the native integration of LinkedIn targeting . As Microsoft owns LinkedIn, advertisers can access the extensive professional data of LinkedIn users and target their ads more precisely. The attributes “Job Function,” “Company,” and “Industry” are available for more tailored targeting. Bid adjustments can be used, for example, to place higher bids for particularly relevant target groups. This is especially useful when B2B marketing plays a role. However, possibly the most significant advantage is that Bing, and thus Bing Ads/Microsoft Ads, is still surprisingly underutilized by many companies. Commonly cited arguments include a comparatively low search volume compared to Google and a lack of time to create and manage a complete account setup on this platform. But therein lies a great opportunity for businesses. The much lower volume of competitors positively impacts cost per click and can help companies position successfully on Bing with relatively low budget investment, yielding significantly more sales and leads compared to Google Ads vs. Microsoft Ads - Overview of Pros and Cons: Google Ads Advantages: Higher market share, worldwide and in Germany Greater reach and traffic potential Broader range of target audiences Higher mobile user coverage Disadvantages: Higher competition and hence  typically higher click prices (CPC) More complex user interface Microsoft Ads Advantages: Less competition and hence Typically more affordable CPC, especially in niche markets More cost-effective, even with smaller budgets Additional reach through other platforms/search engines like Yahoo!, MSN, and AOL Reaches an audience that may not use Google (middle-aged and Edge users) Target audience is generally older and wealthier, with many desktop users (particularly interesting for B2B and certain markets) Disadvantages: Lower market share and therefore Traffic potential Less automation and features Copilot in Microsoft Ads Microsoft Copilot is a AI-based assistant integrated into Microsoft Advertising that helps advertisers with various tasks based on campaign data, user inputs, and AI models. This includes: Campaign creation , such as automated keyword research, ad text suggestions, and the creation of Responsive Search Ads based on landing pages or product information Campaign optimization , e.g., bid strategy and budget distribution suggestions or A/B testing of ad elements Report and analysis creation , e.g., intelligent campaign performance summaries and creation of visual reports Like Google Ads, Microsoft Ads offers numerous opportunities to automate routine tasks with Copilot, saving time. Automatic intelligent analysis supports data-driven decisions. Copilot is integrated into the platform and allows for dialog-based interaction, similar to tools like ChatGPT. However, caution is advised with any AI-based automation - results should always be checked. Bid strategy suggestions must be critically evaluated to ensure that changes have the desired effect. Another example is ad text, which should always be checked for relevance to the product or service. Getting Started with Microsoft Advertising (Bing Ads) As mentioned earlier, many companies forgo advertising on Bing due to the increased setup and maintenance effort, which doesn't seem proportional to the expected return on investment. However, getting started with Microsoft Ads is surprisingly easy. An account can be created in just a few minutes, and the interface somewhat resembles Google's. So those who already advertise on Google’s platform will find navigating Microsoft Advertising straightforward. Importing Google Account Data into Microsoft Ads Additionally, Microsoft offers a useful import function that allows entire account setups from Google Ads to be mirrored into Microsoft Ads with just a few clicks. This also applies to other platforms like Facebook Ads or Pinterest Ads or uploading a completed template. This makes it particularly easy for companies with an existing Google Ads account to get started. There’s even the option to regularly import a Google account into Microsoft Ads, keeping the Bing account up-to-date with frequent changes. But beware: While Microsoft aims to make the entry into Microsoft Advertising as easy as possible and provides various tools, a certain level of account maintenance is still necessary. Importing accounts allows for a quick and easy way to advertise on Bing. However, to get the most out of the channel, Microsoft Ads should also be viewed separately and appropriate optimization measures undertaken. This ensures the target audience is optimally engaged and no potential is wasted. FAQs for Getting Started with Microsoft Ads Here are some questions our clients frequently ask about Microsoft Ads (and previously Bing Ads), giving you a deeper insight and helping you decide for or against Microsoft Advertising: For whom is Microsoft Advertising particularly worthwhile? Due to the differences in target demographics, Microsoft Ads are especially worthwhile for companies selling to B2B customers or targeting an older, more affluent audience. B2C companies can also benefit from Microsoft Advertising due to lower competition. Thanks to Bing's broader reach, Microsoft Ads are particularly effective in Germany, the USA, UK, Canada, and Australia. In contrast, reaching a younger demographic (under 25) might be more successful through Google or other channels. How effective are Microsoft Ads? Microsoft Advertising can be very effective, but the performance of your campaigns largely depends on the services or products you offer and the target group you wish to reach. The lower CPC and highly accurate B2B targeting can make Microsoft Ads very effective. We also observe from many clients a lower cost per acquisition with the same or even higher quality of leads or product purchases. If you’re unsure, we’re happy to advise whether Microsoft is a sensible addition for your business. What types of advertising campaigns are available on Microsoft? The campaign types on Microsoft are similar to those on Google Ads. Available campaign types include Search Ads, Shopping Ads, Multimedia Ads, Audience Campaigns, Remarketing Campaigns, Dynamic Search Ads (DSA), Hotel Ads, Local Ads, Performance Max Campaigns, and App Install Campaigns. Additionally, with Microsoft Ads, ads can be run on CTV (e.g., with an add-on package on Netflix).  What automation options are available in Microsoft Ads? Thanks to Copilot, Microsoft offers AI-based support directly in the advertising platform. Copilot enables automated creation and optimization of ads, as well as analyses and reports. Additionally, automatic bidding strategies (Smart Bidding) are possible as in Google Ads. Campaign management can also be automated, e.g., by setting rules for activating and pausing ads. However, it's important to note that automation is not a substitute for strategy or expertise, but rather a complement to efficient work. It's crucial to regularly check whether all campaigns and ads deliver the desired performance. Is Bing/Microsoft better than Google Ads? No, Microsoft Ads are a worthwhile addition for many companies and can even be an alternative depending on orientation and target group. Both platforms have advantages and disadvantages that need to be weighed against each other. For B2B companies, but also for many other topics and industries, a combination of Google and Microsoft Ads is the optimal blend in the marketing mix. We’re happy to advise if Microsoft Ads can be effective for your business. Microsoft Ads for B2B Companies As mentioned earlier, Microsoft Advertising is a very attractive alternative or addition to Google Ads for companies with a B2B target audience. The combination of target audience, platform integration, and cost-efficiency makes Microsoft Ads, just like earlier Bing Ads, very interesting for B2B businesses. Many users in the Microsoft Search Network are doing professional work when using Windows, Microsoft Edge, Cortana, and Office. It’s an effective way to reach decision-makers and executives . The higher proportion of higher-educated and higher-earning users makes Microsoft Ads relevant for industries like SaaS, industrial, and financial services . On average, Bing users are also older than the Google target audience. The lower competition and often cheaper CPCs are very advantageous for companies with costly leads and long sales cycles . The frequently 20-40% lower click prices make better ROIs possible. The high proportion of desktop users is also an ideal match for a B2B target group, as many purchases and research activities in a business environment occur via desktop, not mobile. The combination of desktop usage in professional fields increases the conversion likelihood for users in Microsoft Ads. Thanks to LinkedIn targeting , users from specific industries or companies, with certain job titles or functions, can be specifically targeted. This segmentation is only possible with Microsoft Ads, making the platform particularly appealing for B2B companies. It is important, though: Microsoft Ads should not be viewed as a replacement for Google Ads, but as a strategically sensible addition to specifically reach a B2B audience and expand reach outside the Google universe. Why Microsoft Advertising? Bing, and consequently Microsoft Advertising, is still often underestimated today but offers many advantages. While both platforms are quite similar, there are some key differences between Microsoft Ads and the major competitor Google Ads that make Microsoft's platform a true alternative or an effective complement. To summarize: Running ads on Bing is relatively simple Cost-effective and efficient with regular account maintenance Enhanced targeting capabilities , especially relevant for a B2B target audience Differences in target audience compared to Google: generally older, higher educated, and with a higher household income Exclusive access to other search engines , e.g., DuckDuckGo and Ecosia For anyone wanting to get a step ahead of the competition, seriously considering incorporating Microsoft Advertising into the marketing mix can unlock full potential in online marketing. We’re Happy to Assist You The internetwarriors team consists of experts in various online marketing disciplines, from SEA to SEO, from workshops for service companies to strategic consulting for eCommerce companies. Our decades of expertise as a full-service agency allow us a comprehensive view of different channels and measures, and an informed comparison, such as between Google Ads and Microsoft (Bing). Have you been thinking for a while about advertising through Microsoft Ads, or would you like some preliminary advice on the topic? Then feel free to contact us, and we’ll find the right solution for your business!

Embedding FAQs on a website offers many advantages. They can, for example, relieve customer service, increase conversion, or improve visibility in unpaid search results. This article explains in detail the options for creating a FAQ page, how they can be optimized for SEO, and their significance in the era of AI. What is meant by FAQ? FAQ is short for “frequently asked questions” and can be translated as “frequently asked questions.” Specifically, the most important information on a topic is collected and formatted as questions. These can be common problems or the most frequently asked questions. FAQs are widespread in the software domain or other technical topics but can be usefully applied to any subject area and industry. One of the goals of FAQs is to answer questions from potential buyers in a simple way and thus relieve customer service. If a purchase has already been made and problems arise, the FAQ section prevents the service department from dealing with the same easy-to-answer questions. A well-prepared FAQ section brings advantages both for users and companies. What do FAQs offer for SEO? First of all: Any type of relevant optimized content is positive for search engine optimization. With FAQs, you have the opportunity to cover compound keywords and phrases (long tail keywords) that, for example, are not answered in the product description. Your website will be found for questions that users ask on a topic, such as your products or services. At the same time, you increase your authority in your topic area in Google’s evaluation, as you offer a lot of relevant high-quality content. Higher authority means higher trust and thus a better chance of being found for competitive terms in unpaid search results. The increasing use of voice search and AI-based chatbots, now including AI Overviews in Google search results, has influenced how searches are conducted. Long-tail queries, meaning complete sentences or questions, have gained importance. FAQs are a response to these developments and can help remain visible even in the age of AI. FAQs as a Rich Snippet in Search Results You might recall that Google used to directly play questions from FAQs in search results as an addition (known as a “Rich Snippet”). In the fall of 2023, Google announced that these types of Rich Snippets will be significantly restricted and will only be displayed for “reliable government and health websites.” For SEO, FAQs are still valuable even if they no longer generate Rich Snippets. Do FAQs offer an advantage in times of artificial intelligence? AI tools and the AI Overviews introduced by Google in Germany in the first quarter of 2025 present new challenges for the SEO industry. Evaluations from the USA, where AI integration has been present in Google for longer, and initial observations from Germany show how AI Overviews reduce the click-through rate on organic results. To continue being prominently represented in the visible area of search results, the question is: How can websites be displayed as a source in AI Overviews to generate potential clicks here? The topic is complex, so we will only address the question here: Can visibility be improved in AI Overviews with FAQs? To have a chance to appear in Google's AI Overviews, many different factors are relevant. This includes, for example: Good content structure Helping Google understand the content, e.g., through structured data and content formatting (like bullet points) Covering a topic in depth Answering questions Focus on usability Demonstrating authority FAQs can help improve visibility and be listed as a source—but this is no guarantee for many clicks. It can also be a short-term strategy to mainly optimize for the (constantly declining number of) keywords and topics for which no AI Overviews are yet displayed in Google. FAQs and GEO - Optimization for AI-Based Chatbots AI-based chatbots like ChatGPT or Perplexity also depend on understanding and categorizing information on the website. The foundation for content optimization here, too, is understanding your target audience and their needs and providing content for it. The key is a range of different content types that answer different types of queries and intentions. FAQ content allows you to answer questions naturally that users enter into AI tools. The goal is to provide precise answers in natural language, similar to a conversation. Imagine, for example, that you are talking to a potential customer who is asking you questions about a product or service. A good structure of the answers through lists, bullet points, and subheadings (for long answers) and tagging with structured data helps tools understand the content. And fundamentally, the best strategy is still a combination of optimization for AI-based tools and classic search engine optimization. Do FAQs on the website improve visibility for Voice Search? In voice search, questions are more often entered than in text-based searches. Answering relevant questions in the FAQ section can therefore bring an advantage here as well. Besides many other factors such as a mobile-friendly website, it is also important for voice search optimization to phrase questions and answers naturally. It is not only about embedding relevant FAQs but also in which language these are written (everyday language). What are the options for embedding FAQs on a website? Depending on the goal of the FAQs, different solutions are available to embed them on the website. Below are the most important ones, along with their pros and cons. Dedicated FAQ Page The first option is to create a single long FAQ page that lists all the important questions collected. For better overview, an accordion element is often used in the layout, where users can expand and collapse the answers to individual questions. Advantages Easy to set up and maintain Simple questions that can be answered in one sentence are not a problem for SEO Disadvantages Rarely ranks for (competitive) terms as different topics are covered on one page, thus lacking focus Fewer opportunities for good internal linking between individual questions SEO-Compliant Setup Each question as a sub headline Use correct headline structure If technically possible, a table of contents at the top of the page with jump links to individual questions Where appropriate, linking relevant products or services from the FAQ texts Implementation of structured data (see below) FAQ Section on the Page An alternative with more SEO potential is a standalone FAQ section on the website instead of a single page. An overview page with all questions links to the subpages with the answers to the questions. If there are a large number of questions, they can be organized thematically for better overview. Using the example of E-bikes, the categories might be: General Questions, Brands, Models, Batteries, Maintenance, and Repair. Advantages Higher chance of being found for keywords Targeted optimization for keywords is possible as longer texts can be created and optimized for a greater number of keywords. Better usability as there is no need to navigate on a long page Disadvantages More maintenance effort as many individual pages are created Individual FAQs require more content to avoid generating “thin content.” SEO-Compliant Setup Overview page with teasers and links to FAQ detail pages with the individual questions Detail pages with correct headline structure (question as h1 headline) Detail pages must be standalone complete pages that contain navigation, footer, etc. (avoid solutions like iframes) Minimum amount of content (if there are still questions with very short answers, it might make sense to exclude them from indexing) Cross-linking between similar FAQs If using categories: Breadcrumb navigation for easy navigation back to the main category or FAQ overview page Links to relevant product pages or services Implementation of structured data (see below) FAQ Section on Service or Product Pages Product or service pages also benefit from a FAQ section. Especially if there are very specific questions about a particular product, these are well placed on the product page. They can help dispel reservations about a purchase or answer questions that would otherwise occupy customer service. At worst, users drop out if they do not find an answer to their question and purchase the product from the competition. Meaningful and relevant FAQs can thus increase the conversion rate. Advantages Enriches the content on these pages with meaningful and relevant phrases and terms Questions may appear in the search results under “Other Questions” and draw traffic to the product or service page from there. Disadvantages For high-competition keyword combinations that individual FAQs are optimized for, there is a significantly lower chance of ranking than if they are created as standalone pages. SEO-Compliant Setup FAQ section with headline Individual questions as headlines (observe correct headline structure) Ideally use unique FAQs - do not include the same question and answer 1:1 on multiple pages Implementation of structured data (see below) FAQs as Blog Posts If the CMS does not allow a standalone FAQ area, one solution is to embed FAQs in the form of blog posts. Each blog post answers a question for which keywords with sufficient search volume have been defined. Alternatively, FAQs can also complement blog posts on a topic by answering the most important questions as part of the blog post. Especially for information-based keywords (the main intent of searchers is to get information), this can be a sensible solution. Advantages Easy to maintain Good chance of being found Disadvantages Individual FAQs require a minimum amount of content May become lost on the website (poorer usability) SEO-Compliant Setup Correct headline structure Minimum amount of content Cross-linking between similar FAQs/blog posts Links to relevant product pages or services To feature the FAQ more prominently on the website, FAQ could be established as a blog category and this category page could be linked to. Implementation of structured data (see below) The SEO-friendly Embedding of FAQ Sections To create FAQs that are optimized for both users and search engines, layout and technical embedding are also important. A widespread method is accordions, where only the question is visible and the answers can be expanded. These sections do not take up much space and are clear to page visitors. But how does Google rate content that is not directly visible but must be expanded? Are Accordion Elements for FAQs SEO-Friendly? The first question is, how was the accordion technically implemented? Are the collapsed contents visible in the source code, or are they loaded only after clicking? From an SEO perspective, it is important that all relevant content is available in the source code and does not require action. For example, a collapse function using CSS is more effective than a JavaScript action that triggers the display of the content. And how about the contents themselves? Traditionally, Google rates content higher when it is directly visible. However, due to the focus on mobile, this evaluation has slightly shifted. “Hidden” because collapsed content is a legitimate solution for maintaining clarity on mobile sites for usability reasons. Google itself has been saying for years that all information in the HTML is read and considered, even if it is “hidden” in accordions or tabs. Various studies (for example by Searchpilot in 2020) suggest that directly visible content performs better than “hidden” content. Therefore important content should preferably always be visible without additional clicks. For FAQ sections on pages, however, accordions remain an important way to keep content organized. Alternatives to Accordion for FAQs Accordions are not the only way to integrate FAQs without users having to scroll through long text blocks. Tabs are another option, but there remains the factor that “hidden content” may rank worse. An alternative is to integrate the FAQs as plain text but add a table of contents with jump links so that visitors can quickly find the question they are looking for. Optimize FAQs for Search Engines - 3 More Tips Above we have already provided hints for an SEO-compliant structure of the various types of FAQ pages and the technical integration. We would like to give you three additional tips to get the most out of your FAQs. Identify Relevant Questions If you have set up your FAQ section so that each question is a separate page, we recommend using a keyword analysis to research sub-topics or questions of interest. If you have already collected questions that you know from practice are relevant because, for example, customer service frequently receives them, keyword analysis helps describe these questions using the words your target audience uses. The goal is to identify terms or phrases that are frequently searched. You can use these sources for keyword analysis and identifying questions: Paid keyword tools Free keyword tools (for example, answerthepublic) Google search results: Google Suggest (suggestions from Google when entering terms into the search), questions in Google Search, related terms under the search results Google Trends SEO tools that display competitors' keywords Your own analysis tools, especially Google Search Console, which shows you which topics and questions you already have some visibility for. Internal site search Social media comments and platforms like Reddit Screenshot from the SERPs - Example E-Bikes Using “E-Bikes” as an example, this incomplete list of general topics and questions can be identified: Which E-Bike is recommended? (Question in Google search results) How much watt should a good E-Bike motor have? (Question in Google search results) How much does a good E-Bike cost? (Question in Google search results) Which E-Bike suits me? (Keyword tool in SEMrush) How long does an E-Bike battery last? (Keyword tool in SEMrush) Who repairs E-Bikes? (answerthepublic) How to charge E-Bike battery? (answerthepublic) Use FAQ Markups If your CMS allows it, it is advisable to embed structured data to help Google interpret and categorize content. In the case of FAQs, the FAQPage markup ensures that Google recognizes what is a question and what is an answer and can classify this content as an FAQ. Detailed explanations can be found at Google as well as on schema.org’s page for the FAQPage and the QAPage . Structured data can be checked in Google's tool “Rich Results Test” The tool shows which markups have been integrated and identifies any errors. Using the example of testberichte.de, we see in the Google tool that the FAQ markup is used: Important: According to Google's statement , the same question and answer must not be marked up multiple times. For SEO reasons, it is optimal to create unique FAQs if, for example, you embed FAQs on product pages. If you still want to embed identical FAQs on different pages, these should only be marked up on one of these pages according to Google, as otherwise it would violate their guidelines. Optimize Internal Linking One of the biggest advantages of a FAQ section on the website is, besides generating relevant content, the possibility of improving internal linking . Linking related pages within your website or online shop strengthens the linked page and also helps users discover new content and stay on your website longer. Consider for each question whether there are relevant products, services, blog posts, other FAQs, or other pages you can link from the text. For good internal linking, use descriptive link text instead of general text like “read more here.” To identify suitable links, it is also useful to ask the question after creating the FAQ text: what is the most logical next step for users who are asking this question and have read this content? Is it a product page? Are there usually more questions? Is the answer to the question to use your service? Alternatives and Complements to FAQs FAQ sections and pages are not the only way to effectively expand regular content. A well-thought-out SEO strategy considers all types of content to increase visibility for keyword combinations and related keywords. A powerful strategy is glossaries that explain technical terms. An application could be to compare different materials, cuts, or designs for a product and thus provide additional decision-making help for customers. Idealo, for instance, integrates a glossary section on category pages instead of a FAQ section, where relevant terms for the category are explained. Best Practice - Examples of Successful FAQ Pages There are many examples of well-thought-out FAQ pages on the internet that have been sensibly structured and answer meaningful questions about the respective topic. Every industry, every target group, and every company is individual, but it can still be helpful to look at best practice examples for inspiration. Therefore, we have put together some FAQ sections and FAQ pages that we find successful: Samsung Technical devices are a good example of products for which many questions are asked before a purchase decision. Especially the expensive, annually released models from large companies such as Samsung and Apple with their technical details offer a lot of potential for explanations and help in product choice. Samsung answers the most important questions on the product presentation page in the FAQ section. On the product page in the shop, purchase-related questions are mainly answered. Here you will find a mix of generic questions and specific questions and answers. In the first answer, you can see how the general question was answered in relation to the product. Booking.com A FAQ section does not necessarily have to be named “FAQ.” Booking.com calls it “Quick Help” and organizes the questions by their topic. Jump links have been added at the top of the page, allowing you to jump directly to the desired category without having to scroll for long. Avocadostore The Avocadostore also organizes the FAQ section by topic and directly suggests questions on the FAQ overview that are likely to be frequently asked. This saves users with these questions a click without losing clarity through categorization. Zalando Zalando also uses categories that are always accessible via navigation, so users can easily jump between FAQ sections. Content Optimization from FAQ to Blog with the internetwarriors Do you want to improve your organic visibility with optimized content? Our experienced SEO team knows all the tricks and tools to be better found on Google. We analyze your content , support you with optimization, or deliver relevant optimized content for your website or online shop. This can be FAQ texts, but, for example, also product descriptions or blog posts. Just contact us, we will gladly create a non-binding individual offer for you!