November 5, 2025

Google AI Mode Study

Google AI Mode in Germany: New Study offers tips for optimized AI content.

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Google AI Mode in Germany: New study provides tips for optimized AI content.

Google Search is undergoing a radical transformation through Artificial Intelligence. Our current analysis examines the impact of the Google AI Model on the work of marketing and content teams, traffic, and content strategies.

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📊 Of the URLs linked in Google AI Mode, 21.97% are in the top 10 of the organic Google search results.

🛒 Over 60% of AIM Links are not found in the Google Top 50 search results.

📉 Brand websites, e-commerce shops, and comparison portals together account for more than 75% of the linked URLs in transactional prompts.

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What you will learn in the AI Mode Study

How AI Mode Directly Influences Organic Traffic

Why invisibility threatens without branding and machine-readable content

Which Content Types Perform Particularly Well in AI Mode

Which Content Types Perform Particularly Well in AI Mode

Which Content Types Perform Particularly Well in AI Mode

Discover which KPIs you really need to measure success in AI search

Discover which KPIs you really need to measure success in AI search

Discover which KPIs you really need to measure success in AI search

"In the classic search, it was all about rankings; in AI Mode, it's about trust, context, and citation: Those who are cited, win."

- Moritz Klussmann (CEO of internetwarriors GmbH)

Empirical Analysis of the Google AI Model

Strategic Additional Ideas & Critical Perspectives for 2026

1. Content structure is the new code

2. Brand Authority as the Ultimate AI Factor

3. New KPIs for Measuring AI Success

1. Content structure is the new code

2. Brand Authority as the Ultimate AI Factor

3. New KPIs for Measuring AI Success

1. Content structure is the new code

2. Brand Authority as the Ultimate AI Factor

3. New KPIs for Measuring AI Success

4. Smart Use of Long-Tail Intents

5. Classic Standards as a Foundation

6. The Critical AI Challenges: Cost, Measurability, and Reliability

4. Smart Use of Long-Tail Intents

5. Classic Standards as a Foundation

6. The Critical AI Challenges: Cost, Measurability, and Reliability

4. Smart Use of Long-Tail Intents

5. Classic Standards as a Foundation

6. The Critical AI Challenges: Cost, Measurability, and Reliability

Conclusion

Google Search is transforming into an answer engine. To remain relevant in this new ecosystem, one must master the following strategies:

Technically optimized content that is machine-readable and modularly structured so that AI Mode can accurately understand and cite it
Demonstrable value to users and brand authority (E-E-A-T), as AI Mode primarily prefers trustworthy and industry-cited sources
Strategic clarity within a hybrid SEO strategy – along with a willingness to measure success with new KPIs (citations instead of just clicks) – and a deep understanding of how AI selects, weighs, and displays content

Conclusion

Google Search is transforming into an answer engine. To remain relevant in this new ecosystem, one must master the following strategies:

Technically optimized content that is machine-readable and modularly structured so that AI Mode can accurately understand and cite it
Demonstrable value to users and brand authority (E-E-A-T), as AI Mode primarily prefers trustworthy and industry-cited sources
Strategic clarity within a hybrid SEO strategy – along with a willingness to measure success with new KPIs (citations instead of just clicks) – and a deep understanding of how AI selects, weighs, and displays content

Conclusion

Google Search is transforming into an answer engine. To remain relevant in this new ecosystem, one must master the following strategies:

Technically optimized content that is machine-readable and modularly structured so that AI Mode can accurately understand and cite it
Demonstrable value to users and brand authority (E-E-A-T), as AI Mode primarily prefers trustworthy and industry-cited sources
Strategic clarity within a hybrid SEO strategy – along with a willingness to measure success with new KPIs (citations instead of just clicks) – and a deep understanding of how AI selects, weighs, and displays content