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When someone asks ChatGPT, Perplexity or Google AI who the best orthopaedic surgeon in Munich is, or which law firm handles employment disputes, the system answers with names. Whether yours is among them is not decided on your website alone. It is decided in the sources these models draw on: directories, review platforms, press coverage and machine readable content. The useful part is that this can be measured, and then deliberately improved. The discipline has a name, Generative Engine Optimization, or GEO.
Open ChatGPT, and Perplexity as well since it shows its sources. Ask five questions your customers would ask: best category in your city, who do you recommend for a specific problem, what do you know about your company name. Note whether you are mentioned, whether competitors are, and which sources get cited.
Then repeat the same questions on a different day. AI answers fluctuate, and a single run tells you almost nothing. Three runs across two systems gives you a picture you can act on.
AI answers name three or four providers, not ten blue links. The shortlist is shorter and the position on it is worth more. Categories where nobody has done this work yet are still cheap to enter, and they will not stay that way.
We run exactly this analysis for selected companies, with documented AI answers as evidence. Book a free initial consultation to find out how visible your business currently is, or start with the visibility calculator.
Generative Engine Optimization covers every measure that makes a company visible in the answers of AI assistants such as ChatGPT, Perplexity or Google AI. It is the equivalent of SEO for classic search.
Ask the questions your customers ask, several times on different days, in ChatGPT and Perplexity. Document who is named and which sources are cited.
Usually because they appear in the sources the systems cite: directories, review platforms, press. Anyone missing from those, or whose website holds no machine readable facts, is rarely named.
It complements it. Google stays relevant, but a growing share of buying decisions now begins in an AI assistant, with fewer and weightier recommendations per answer.