A diner deciding where to eat now meets your restaurant in two very different places: the classic list of links they scroll, and the shortlist an AI engine reads back when they ask where to eat. SEO is the discipline that wins the first. AEO and GEO win the second. For a restaurant the distinction is not academic, because the moment that decides the booking is increasingly the AI answer, not the page of blue links beneath it. Here is what each acronym actually means for a restaurant, and why the honest answer is that you do all three.
TL;DR
- SEO gets your pages and listings ranked so a diner can find and click them. AEO and GEO get your restaurant named and cited inside the AI answer, where there is often no click at all.
- AEO and GEO are near-synonyms in practice: both are about being the venue an engine names when it answers a where-to-eat question.
- You do all three. SEO feeds the pool the engines retrieve from; GEO and AEO win the mention inside the answer. You measure them differently: ranking and clicks for SEO, citation share in AI answers for GEO.
- The shift is already here: 26% of UK consumers use AI apps to help decide where to eat or drink.
The difference in one table
| SEO for a restaurant | AEO / GEO for a restaurant | |
|---|---|---|
| What it optimises | Your site, Google Business Profile, listings | Your whole footprint, on-site and off |
| The unit of success | A ranked listing or map pin | A mention inside the AI answer |
| The metric | Position, clicks, calls, directions | Citation share in where-to-eat answers |
| Where it is fought | Your own pages and profile | Largely third-party sources engines cite |
| The main levers | On-page, local SEO, reviews, backlinks | Entity consistency, crawlable menu, editorial and community citations |
| Who reads the output | A diner scanning results | A model composing a recommendation |
What is SEO for a restaurant?
The discipline you already know. You optimise your website, your Google Business Profile and your listings so you rank for searches like restaurants in a given area, and you win when a diner clicks through, calls, or taps for directions. The metric is position and the traffic it drives. The work lives mostly on assets you control: your pages, your profile, your reviews and the links pointing at you. It still matters, because it is part of how an engine decides you are real.
What are AEO and GEO for a restaurant?
Answer Engine Optimization and Generative Engine Optimization both aim at the same thing for a restaurant: being the venue an engine names when it answers a question like the best place to eat near a landmark, or where to go for a particular occasion. AEO grew out of the search world as answer boxes and voice grew; GEO came from research into visibility inside generated answers. In day to day restaurant practice they are near-synonyms, and picking a favourite term matters far less than doing the work of getting cited. The full general explainer is in AEO vs GEO vs SEO; this is the hospitality-specific version.
Do you really do all three?
Yes, and they are not in competition. Classic ranking still feeds AI retrieval, so the fundamentals that get your restaurant found in normal search also help put you in the pool an engine draws from. If you are invisible to classic search, you are usually invisible to the models that read it. What changes is where the decision lands. When an engine answers where to eat completely, the diner may never click the ranked link underneath, which is why so many good restaurants are absent from AI answers while still ranking fine in search, a gap we cover in why your restaurant is invisible on ChatGPT. So you keep doing SEO because it feeds retrieval, and you add AEO and GEO because that is where the diner now forms the shortlist. One is the reservoir, the other is the tap.
The restaurant-specific levers, side by side
| Discipline | Restaurant levers that matter most |
|---|---|
| SEO | Optimised site and Google Business Profile, local keywords, review volume, directions and call actions, backlinks |
| AEO / GEO | Consistent name, address and cuisine everywhere; menu as crawlable text with schema; editorial best-of citations; community presence; review depth and recency on the surfaces engines read |
The overlap is real: reviews and consistent details help both. The difference is that AEO and GEO lean much harder on off-site corroboration, the editorial roundups and community threads an engine cites, because those are what a model uses to decide who to name. For how much of that work is off your own domain, see who actually fixes AI search visibility, and for the numbers behind the shift, the restaurant AI visibility statistics.
How you measure them differently
Judge SEO on position, clicks, calls and direction taps, the things classic search drives. Judge AEO and GEO on citation share, how often the major AI engines name your restaurant for the questions your diners actually ask, and for which cities, cuisines and occasions. A restaurant can rank well and still be quietly missing from AI answers, so measuring only the first hides the second. The demand makes it worth measuring: CGA by NIQ found 26% of UK consumers use AI apps to help decide where to eat or drink, essentially level with Google Maps, and the invisibility studies, though US-sourced and directional for the UK, suggest most restaurants are not yet named at all.
Disclosure: Schmitdy is our own AI search service at AI Heroes, so treat this as the maker's case rather than neutral advice. We do the AEO and GEO side, the entity, schema, citation and community work, and we track citation share across the major engines daily so you can see the metric that classic SEO tools do not report. If you want to see where your restaurant stands in AI answers today, separate from your search ranking, the free AI search audit shows it.
