People looking for a provider are increasingly turning to AI assistants like ChatGPT, Gemini, or Copilot—or reading the answer directly in Google Search. The AI responds with a recommendation, naming only a few brands—often just one.
Generative Engine Optimization (GEO) ensures that your brand appears in these responses. To achieve this, content is formatted so that AI systems can understand it and cite it as a source. The result: The AI accurately describes products and services and recommends the brand in response to relevant questions.
People are still searching, but in a different way: AI answers the question directly, either in AI summaries above the search results or within the assistant. Clicking on a result is often no longer necessary.
Already, one in every two searches yields such an answer, and more than two-thirds of all searches end without a click. The result: Brands that aren’t included in the answer are ruled out before anyone visits their website—even if they rank well on Google.
In the past, a search would return ten results. Customers would open several pages, compare them, and form their own opinion. Today, AI provides a ready-made answer and cites the sources. Individual pages are rarely checked anymore. The answer is evaluated as a whole: whether it seems coherent and whether the cited sources are credible.
This builds trust in the source cited in the answer. It is therefore crucial that content is structured in such a way that AI can cite it.
For many customers, the AI response is their first point of contact with a brand. We treat it like any other touchpoint and build the knowledge base that the AI uses to formulate its response.
As a CX partner, we keep the entire AI search experience in mind and also design what happens after the answer is provided: the recommendation, the landing page and service experience, and the conversion.
We are examining how visible the brand is in AI responses today, how the content is structured, and what the technical infrastructure looks like.
Together, we will link the observations to their causes and draw initial conclusions.
We prioritize actions, identify opportunities and next steps, and coordinate them with the stakeholders.
No. SEO optimizes a page for ranking in search results. GEO ensures that an AI system finds your facts, classifies them as reliable, and cites them in its response. This requires structured data, a clean entity layer, and external signals—not more text. A solid SEO foundation helps, but it’s not enough.
We measure how often and how accurately the brand appears in AI responses. The appropriate metrics depend on the goal and the initial situation. We’ll clarify this during our first meeting.
Initial findings are available after the three-day introductory package. Changes in AI responses typically become apparent once the processed content has been rolled out and the models have processed it again. We’ll discuss a realistic timeline during our first meeting.
Only in the rarest of cases. The greatest impact comes from structure, tagging, and data quality. When technical limitations arise, we identify them in the audit, including the effort required and their priority.
The systems your target audience uses, including Google AI Overviews, Gemini, ChatGPT, Microsoft Copilot, and Perplexity. We'll work together to determine which models to monitor.
The 3-day package can be booked at a fixed price. The scope and next steps will depend on your level of readiness and will be determined together during our initial consultation. We’ll be happy to provide you with the price upon request.
Typically, marketing or content, SEO, IT, or web operations—and, depending on the industry, product management. The workload is highest at the beginning. After that, it decreases significantly because roles and processes are established.
This happens frequently. We track such discrepancies through our monitoring process, trace them back to their source (our own content, outdated data, or third parties), and correct them at the source.