AI Search · Explainer
GEO vs AEO vs classic search.
Three terms, lots of overlap. Generative Engine Optimization, Answer Engine Optimization, and classic search optimization all aim at being found, but at different layers of how patients now discover clinics. Here is how they relate, without the jargon.
01 · GEO
Being cited in generative answers.
Generative Engine Optimization is the broadest of the three: being mentioned and cited inside the answers AI engines generate, from ChatGPT and Gemini to Google AI Overviews. It is about being part of the conversation, whatever the question.
Structured data for treatments, providers, location, and reviews.
Entity markup that ties your clinic to the concerns you treat.
Fast, semantic markup that models can parse without friction.
02 · AEO
Being the direct answer.
Answer Engine Optimization is narrower and answer-focused: being surfaced as the specific answer to a specific question, in featured snippets, voice results, and assistant replies. Every AEO win is a GEO win, but GEO is wider.
Direct, quotable responses to the questions patients ask.
Enough surrounding detail for a model to cite you with confidence.
The treatments and concerns AI tools are actually asked about.
03 · Classic search
Showing up in the link list.
Classic search optimization is the established work of appearing in the list of links an engine returns. It still matters, and the same clean foundations, structure, speed, and authority, feed GEO and AEO too.
Pages organised around the problems patients search for.
Each concern leads to the right treatment and a clear next step.
Discovery content that ends in a booking, not a dead end.
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The rest of the AI-search picture
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