Rethinking touchpoints: How LLMs are taking over the first seconds of the customer journey

Quick Summary:

• LLMs like ChatGPT, Perplexity, and Google AI Mode are becoming the first touchpoint with a brand, even before the traditional click. 

• Traditional attribution models don't capture this touchpoint: no click, no session, no entry in Google Analytics. 

• AI answers already influence 35% to 40% of B2B buying decisions, yet they remain completely invisible in most companies' tracking. 

• The flip side of the coin: AI referral traffic converts up to 31% better than traditional organic traffic. 

  
  

A potential customer is looking for new HR software. Not via Google, but directly on ChatGPT. The answer comes in seconds: three providers, briefly compared, with a recommendation. Your brand shows up—or it doesn't. And what happens next is invisible to your marketing team. 

This exact scenario happens millions of times every day. LLMs are taking over the first seconds of the customer journey, and most companies don't even know it's happening. 

This article explains why traditional attribution models break down here, why this actually offers a great opportunity for conversion quality, and how companies can build both visibility and measurability in AI systems using GEO. Because bringing these three dimensions together is exactly what has been missing in the market so far. 

The touchpoint nobody tracks 

The traditional customer journey followed a measurable logic: search query, click, website visit, tracking. Attribution models were built on this chain—first click, last click, data-driven. Every step left a footprint.

This logic has developed a blind spot. According to recent analyses, around 60% of all Google searches end without a click—a zero-click customer journey that is no longer the exception. AI Overviews appear in nearly 30% of all search queries, making them an established part of the customer journey before anyone even visits a website. By August 2025, ChatGPT already recorded 800 million weekly active users, and Perplexity processed more search queries in May 2025 than in the entire year of 2024 combined. 

What this actually means: customers are gathering information, forming opinions, and putting together initial shortlists completely outside of your measurement points. By the time someone does click through to a website, the decision is often already half-made. The first contact with the brand happened minutes or hours ago, in an AI response that no analytics tool ever captured. 

Traditional Touchpoint vs. LLM Touchpoint: A Direct Comparison 

The following overview shows why LLM touchpoints remain structurally invisible in traditional tracking setups: 

The core issue in short: 

If it doesn't get clicked, it doesn't show up in Google Analytics. If it's recommended in an AI answer, it leaves no trace in classic attribution models. This isn't just a small data gap. This is the very beginning of the customer journey. 

Why the tracking model breaks down right here 

Recent studies show that AI search results, chatbot conversations, and voice assistant recommendations already influence 35% to 40% of B2B purchase decisions. Yet, most companies fail to track this channel because it structurally doesn't generate a referral session. 

The GEO measurement problem goes deeper than it seems at first glance. There are three specific friction points in traditional attribution setups: 

• Zero-click responses don't create a referral session. A customer who asks ChatGPT and then directly visits your website appears in tracking as direct traffic, not as an AI referral. 

• Shortlist influence happens before the first trackable touchpoint. Whether a brand even makes the shortlist is decided in the AI response, minutes before someone searches on Google or enters the URL directly. 

• According to our GEO study, only 9.2% of sources cited by ChatGPT rank in Google's top 10 search results. This means SEO rankings and LLM visibility are largely disconnected.

This means: if you only measure SEO KPIs, you miss where the journey actually begins. And if you don't see where the journey begins, you can't optimize it. 

The bright side: Why AI traffic converts better 

So far, this shift might feel like a pure loss of control. But the data shows something interesting: traffic coming from AI responses is of much higher quality than traditional organic traffic. 

According to Adobe Digital Insights, AI referral traffic converts up to 31% better than traditional SEO traffic. This is due to a simple mechanism: AI responses pre-qualify users in a way no search result can. Anyone arriving on a website via a recommendation on ChatGPT or Perplexity has already asked a specific question, received a structured answer, compared options, and made an initial decision. 

In short: less overall traffic, but highly qualified traffic. Fewer visitors who just stumbled onto your site, and more visitors with high purchase intent. 

B2B and B2C: Where the shift is felt most 

B2B: The silent shortlist 

In a B2B context, this shift is especially profound. Decision-makers and buying committees increasingly research anonymously and with AI support before making contact. Questions like "Which ATS software is best for mid-sized companies?" or "Which SEO agency has B2B experience?" are taken straight to ChatGPT. The AI's answer decides who makes the longlist—and who is left out. 

The sales cycle challenge: if you aren't present during this phase, you might never even make the evaluation. Not because your product is inferior, but because your brand isn't sufficiently anchored in the information systems that LLMs pull from. 

B2C: Product comparisons directly in AI 

In B2C, the traditional comparison process is shifting. Questions like "Which TV wall mount is best for large screens?" or "Which health insurance is best for freelancers?" are increasingly answered by LLMs with concrete recommendations, skipping price comparison sites entirely. Appearing as a brand in these responses builds relevance right at the moment of decision-making. 

GEO: Combining visibility and measurability 

This is where the major gap in the market lies: most articles about GEO either explain the problem (LLMs are changing the journey) or offer a technical solution (how to structure your content for LLMs). What is missing is the link between visibility, conversion quality, and concrete measurability. 

GEO (Generative Engine Optimization) is the practice of optimizing content, brand authority, and reputation signals so that they appear in AI-generated answers. GEO touchpoints are not just a nice add-on to the traditional journey; they are its new beginning. But GEO without measurement is like SEO without rankings. You just don't know if it's working. 

That's why a complete GEO approach combines three levels: 

• Building Visibility: Structuring content so LLMs can easily process and cite it. Keep it factual and clear, without marketing fluff. Anchor authority through external sources, mentions, structured data, and consistent brand messaging.

• Understanding Conversion Quality: Analyzing AI referral traffic separately. Which prompts lead to what traffic? How does this traffic perform compared to traditional organic traffic?

• Measuring LLM Visibility: With tools like Peec AI, you can measure LLM visibility—how often and in what way your brand appears in answers from ChatGPT, Perplexity, and Google AI Mode, including sentiment analysis and competitor comparisons. This is the starting point for an attribution model that actually captures the very first touchpoint. 

The key takeaway: GEO ROI is structurally harder to measure than SEO because zero-click answers don't generate referral sessions. However, building tracking frameworks today that capture AI touchpoints gives you a data advantage that competitors will struggle to catch up with later. 

Conclusion: Three questions every marketing team should ask right now 

The customer journey is starting fresh—not on a search results page, but in a conversation with an AI. For marketing teams, this means a fundamental shift in perspective:

• Where does our journey actually begin? Not: "Which channel brings the first click?" but rather: "In which AI response does our brand show up before anyone even searches?" 

• What are we missing? What part of our decision pipeline is currently invisible because it happens before the first trackable touchpoint? 

• How qualified are our visitors when they arrive? If AI referral traffic converts better, it is highly worth identifying and specifically targeting this group. 

Companies investing in GEO and its measurability today are building a foundation that gets more valuable every month. Those who wait will keep optimizing for a journey that started somewhere else a long time ago. 

Want to know how visible your brand is today in ChatGPT, Perplexity, and Google AI Mode? Let's chat. 

FAQ: Common questions about LLMs, touchpoints, and GEO

What is the difference between a traditional touchpoint and an LLM touchpoint? 

A traditional touchpoint, like a click on a search result or an ad, is visible to analytics tools and leaves a trackable data trail. An LLM touchpoint occurs when a user asks an AI like ChatGPT or Perplexity and gets a recommendation without necessarily clicking through to a website. This brand contact happens, but it is completely missed by traditional attribution models. 

Why does attribution get harder with LLMs? 

Because zero-click AI answers don't generate referral sessions. If someone visits a website directly after an AI recommendation, they show up in tracking as direct traffic. The actual trigger—the AI response—remains invisible. This makes it structurally harder to assign credit for a purchase decision to the right channel. 

Does AI referral traffic really convert better? 

Yes, according to recent analyses (Adobe Digital Insights, Seer Interactive 2025), traffic from AI recommendations converts up to 31% better than traditional organic SEO traffic. The reason: AI responses qualify users before that first click even happens. Someone coming via an AI recommendation has already asked a specific question, read a structured answer, and made an initial choice. 

What is GEO and why is SEO alone no longer enough? 

GEO stands for Generative Engine Optimization. It covers all measures companies take to ensure their content and brand show up in AI-generated responses. While SEO optimizes for rankings and clicks, GEO is about being a citable source in systems like ChatGPT, Perplexity, or Google AI Mode. Since our internetwarriors GEO Study 2026 shows that only 9.2% of sources cited by ChatGPT rank in Google's top 10, SEO rankings and LLM visibility are largely independent of each other. 

How can I measure LLM visibility? 

With specialized tools like Peec AI, you can systematically track whether and how often your brand appears in responses from ChatGPT, Perplexity, Google AI Mode, and other LLMs, alongside sentiment analysis and competitor insights. Traditional web analytics tools simply don't capture this channel. Setting up a GEO tracking framework today gives you a valuable data foundation for the future.