AI-powered Insights

GEO:

From link lists to answers

The way people search for information and make purchasing decisions is currently undergoing a fundamental change. For a long time, almost every product search began with a traditional search engine. Enter keywords, compare results and open links.

Today, however, this entry point is shifting. More and more often, users are turning directly to generative AI systems such as ChatGPT, Gemini, Claude, or Perplexity, or using the AI mode of search engines. They ask questions, compare products, get options explained to them, or receive specific recommendations.

 

Recent studies demonstrate the rapid progress of this change. Around half of consumers already use AI-powered search to find information about products or services. Almost 60 % rely on generative AI tools for product recommendations, and nearly half of all users have actively used AI in the decision-making process for a purchase.

The difference from traditional search methods is fundamental. While search engines provide a list of links, generative systems offer direct answers. They structure information, compare options and make recommendations.

This also transforms the customer journey. Users visit individual websites much less frequently because many questions are answered by the AI itself. Studies show that an increasing number of search queries are ending without further clicks.

This creates a new challenge for companies, as visibility is no longer solely determined by search result lists, but also by the answers provided by AI systems.

GEO is much more than just an SEO upgrade.

The aim of Generative Engine Optimisation is no longer just to achieve a

high search engine ranking. The goal is to appear as a trusted source within

generative responses. When users ask an AI for product recommendations,

comparisons or solutions to problems, a brand’s content should form part of that response. This may seem a subtle difference, but it is strategically crucial. While traditional search engines display dozens of results, generative systems often cite only a few sources. Anyone who is not part of this response is simply not noticed in the decision-making process of many users.

GEO focuses on citability. Content must be understandable and interpretable by AI systems, and must be usable as a reliable source. This determines whether and how it becomes part of the generative response.

This also changes the nature of content optimisation. Factors such as thematic depth, clear information structure and reliable sources are becoming increasingly important. Content must be not only be findable, but also interpretable, trustworthy and contextually relevant

 

GEO is therefore not a replacement for SEO, but rather a further development. The mechanics of visibility are shifting from ranking to reference.

 

Success factors for successful GEO

Authority, high-quality content and technical structure remain crucial. At the same time, new requirements for content and platform strategy are emerging.

Thematic authority
Content must cover topics holistically. Superficial keyword articles are losing importance.
Structured information
Clear outlines, FAQs, tables and structured data help AI systems interpret content correctly.
Trustworthy sources
Studies, data points and verifiable references increase the likelihood of being cited as a source
Digital presence across multiple platforms
Brands that are mentioned on many high-quality websites are referenced more frequently by AI systems.
Semantic relevance
Content should answer questions, not just serve keywords.

Conclusion

Search is evolving from a list of links to a dialogue-oriented information system

This means a fundamental change in perspective for companies. Visibility is no longer solely created by rankings, but by relevance within generative responses

Interested?
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PR & Investor Relations Susan Wallenborn
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