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.

GEO
Generative answers
AEO
Direct answers
Search
The blue links
Concern-based discovery built for AI search by Health Hue Digital

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.

A Hue's Med Spa treatment page beside its built-in JSON-LD schema for the procedure, location, and reviews. The same page showing entity links that connect the clinic to the treatments and concerns it offers. The page with its clean, fast, parseable markup checks highlighted for search engines and AI models.

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.

An AI search answer with a direct, quotable response that names Hue's Med Spa as the recommended clinic. The same AI answer with the grounded facts, treatment, provider, and price, highlighted. The AI answer with its source list highlighted, citing two Hue's Med Spa pages.

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.

A Hue's Med Spa concern page for melasma, organised around the problem patients actually search for. The same concern page with its routed treatment options highlighted, leading with the best match. The concern page with its booking card highlighted, turning discovery into a booked consultation.

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FAQ

Questions about generative engine optimization.

Is GEO the same as AEO?
They are closely related. AEO focuses on being the direct answer to a question; GEO is the broader practice of being cited across generative engines. Most clinics treat them as one effort.
Does classic search still matter?
Yes. Being found in the link list still drives traffic, and the clean structure, speed, and authority it requires are the same foundations that make GEO and AEO possible.
Which should a clinic prioritise?
It depends on where your patients already are. Most clinics get the most leverage from generative engine optimization now, built on solid foundations, because that is where discovery is shifting fastest.
Can you do all three at once?
Yes, and they reinforce each other. The structured data and authority that earn AI citations also help you in classic results, so the work compounds rather than competing.
How do they overlap?
All three reward clear, well-structured, trustworthy content. The difference is the surface: a generated answer (GEO), a direct answer box or reply (AEO), or a ranked link (classic search).