Christian Huff
CFO
For years, the central question in any briefing for a new website has been: how do we optimize for Google? Which keywords are relevant? What is the search volume? How well are competitors ranking?
These questions are not wrong. But they are no longer complete.
AI search is changing how people find information and prepare decisions. Systems like ChatGPT, Perplexity, and Google AI Overviews are increasingly shaping how questions get answered and providers get compared. Classic search is not disappearing. But it is gaining competition from systems that formulate answers directly and pre-structure information.
That means: whoever is visible in AI search does not just gain reach. They can also attract more relevant visitors.
How AI Systems Decide What to Cite
AI systems like ChatGPT or Perplexity do not simply respond by summarizing a classic search results page. They process and condense content into a direct answer.
The most important criterion from a business website perspective is usually this: does a page deliver a concrete, understandable, and reliable answer to a real question?
A typical B2B website often does not answer. It describes. "We offer tailored solutions for your individual requirements." That sounds professional, but it is not a reliable answer. It is a generic formulation that remains interchangeable.
A page that works better for AI search looks different. It answers, for example: "What does a web project cost for a mid-sized B2B company? The range is typically between X and Y, depending on ..." That is a concrete answer to a concrete question. Exactly this kind of content is far more accessible for search systems and AI applications.
What This Means for the Structure of Your Website
The core principles that make websites accessible to AI search overlap strongly with what has always distinguished good websites: clarity, relevance, real answers instead of marketing prose.
In concrete terms: each page should address one clearly defined question or one clearly outlined problem that your target audience actually has. The first section of a page should get to the point quickly, rather than becoming specific only after several general paragraphs. FAQ sections with real, specific questions can be useful here because they provide information in a clearly extractable format.
Service pages that only describe (“we do X”) should therefore be supplemented with pages that explain: what is X? When do you need X? How does X work? What affects the cost of X?
The difference is not merely stylistic. It determines whether content is difficult to categorize or accessible for AI-generated answers.
The Role of Third-Party Sources
Another point is often underestimated: AI visibility is not only built on your own website.
When AI systems categorize companies, they do not only draw on company websites but also on external sources: industry directories, trade media, reviews, interviews, mentions in articles, and profiles on relevant platforms.
This does not mean your own website is unimportant. On the contrary: it remains the foundation. But external categorization, mentions, and trust play a major role in whether a company becomes visible in AI-generated answers at all.
For companies, this means: relevant directory listings, guest contributions in trade media, credible reviews, and mentions on thematically fitting third-party sites are gaining additional importance.
What Matters Technically Right Now
Structured data — schema markup — helps search engines better categorize the content of a page. It is not a guarantee of visibility in AI answers, but it improves the machine interpretability of a website and therefore belongs to the solid technical foundation today.
There is also the llms.txt file. It is not yet an established standard, but rather a newer proposal for how websites can make content accessible in an LLM-friendly format. For that reason, it should currently be seen as an experimental addition rather than a required building block.
More important than any new trend, however, remains the technical foundation: clean indexability, clearly structured content, good internal linking, fast load times, and pages that are understandable in terms of content even without design promises.
What Is Not Changing
Whoever wants to be well positioned for AI search first needs the same thing a good website has always needed: a clear positioning. A clearly defined problem. A clearly defined target audience. Content that delivers real value.
An AI can only convincingly categorize a company if that company itself communicates clearly what it does, who it works for, and what the concrete benefit is. That was important in classic search and remains important in the age of AI search.
The good news: companies that already understand their website as a sales tool, are well positioned, and produce relevant content are often better prepared for the shift to AI search than they think. The fundamentals are not entirely new. But their relevance is becoming significantly more visible right now.
