What is GEO (Generative Engine Optimization)?
GEO is the work of getting your hotel named and recommended when an AI engine generates its answer, rather than when a search engine ranks a list of links. If you’ve read about AEO, this will feel familiar — for a hotel the two describe more or less the same job, from slightly different angles.
The short definition
Generative Engine Optimisation is the practice of shaping how a generative AI model — ChatGPT, Gemini, Claude, Perplexity — writes about you. When a traveller types “where should I stay in York for a weekend away?”, the model doesn’t hand back ten blue links. It writes a few sentences and names two or three places. GEO is everything you do to make sure your hotel is one of the names it writes.
Why the term exists at all
The label came out of research into how large language models pull information into their answers, and it stuck because it points at something SEO doesn’t. SEO is about position in a ranked list. GEO is about presence in generated text — a different unit of success. You can rank first on Google for your city and still never appear when someone asks an assistant the same question out loud.
How a model actually chooses
A generative engine builds its recommendation from a mix of what it learned in training and what it can pull in live from the web. In both cases it leans on sources it treats as trustworthy: your own site if it’s clean and readable, plus the review sites, city guides and press that mention you. If those sources describe your hotel clearly and consistently, the model has the raw material to name you. If they’re thin, out of date, or contradict each other, it hedges — and hedging usually means naming someone else.
What GEO looks like in practice for a hotel
None of it is exotic. Make your key pages easy to read and quote, with plain answers to the questions guests actually ask. Get your Hotel schema right so machines can parse your name, location and category without guessing. Keep your Booking, Google and website details consistent, because contradictions make a model cautious. Earn honest coverage in the guides and review sites that AI reads. Then check the answers on a schedule, because they move.
GEO, AEO, SEO — where GEO sits
Treat GEO and AEOas two names for the same target: a place in the AI’s reply. SEO sits underneath both, keeping your pages clean and rankable so the models have something solid to work from. If you want the side-by-side, AEO vs SEO vs GEO lays out the differences, and how AI picks hotels goes deeper on the mechanics.
Want to see whether AI names your hotel today? Run a free report across ChatGPT, Gemini, Claude and Perplexity.
Analyze my hotelFrequently asked questions
Is GEO the same as AEO?
For a hotel, in practice, yes. GEO (Generative Engine Optimisation) emphasises the generative model writing the reply; AEO (Answer Engine Optimisation) emphasises the answer itself. The work you do — clean pages, correct schema, consistent listings, real reviews — is the same, and the goal is identical: be named in what the AI says.
Does GEO replace SEO?
No. Good SEO gives the AI trustworthy, well-structured pages to read, so it feeds GEO rather than competing with it. The change is where the decision happens: more guests now get a recommendation from an assistant before they open a page of search results.
How do I know if GEO is working for my hotel?
Ask the engines the questions your guests ask — 'best boutique hotel in this city', 'where to stay near this landmark' — and see whether you're named, how often, and against whom. Running that check on a schedule is exactly what HotelVisible does.