What a GEO agency sells
GEO stands for generative engine optimization: changing your website and your presence elsewhere on the web so that AI assistants such as ChatGPT, Gemini and Perplexity are more likely to name your hotel when a guest asks where to stay. A GEO agency for hotels sells the hours to do that work. You pay for people, and the people produce changes.
The changes usually fall into four kinds. Content work rewrites or adds pages so they answer the questions guests ask in plain sentences an AI engine can quote, such as how far you are from the old town or whether the spa takes day guests. Technical work adds schema, a block of code on your site that describes the hotel to machines (name, address, room types, check-in time), and makes sure AI crawlers can read your pages. Listing work brings your name, address, phone and amenities into line across Google, Booking.com, TripAdvisor and local directories. Outreach tries to get your hotel covered on the travel sites AI already cites for your city.
Many pitches lean on one research paper. In "GEO: Generative Engine Optimization" (KDD 2024), Aggarwal and colleagues reported that the best content methods boosted a source's visibility in AI answers by up to 40%. That figure was measured on the authors' own set of queries across many subjects, none of them hotels. It supports the idea that content changes can move AI answers. It says nothing specific about your hotel, and a generative engine optimization service for hospitality that quotes it as a forecast is overselling.
What AI visibility software measures
AI visibility software asks AI engines a fixed list of guest questions on a schedule and records whether your hotel is named in each answer. The questions are the ones guests ask before they know your name, like "quiet hotel near the castle for a couple", because a question that already names your hotel will return it every time and proves nothing.
The main output is a detection rate: the share of answers that name you. Golden Well Hotel in Prague, a boutique property, was named in 21 of 295 non-branded answers, or 7.1%. The split by engine mattered more than the total: Gemini named it in 9 of 60 answers, Perplexity 7 of 60, ChatGPT 5 of 60, Claude 0 of 60 and Google AI Overviews 0 of 55. An agency working on that hotel would need to know which engines to aim at, and the blended figure hides it.
Good software also shows who was named when you were not, which sites the answers cited, and what on your site an AI crawler cannot read. It does no work for you. It gives your team, or your agency, a list of what to fix and a way to check whether the fixes did anything.
As one example of how these plans are sized, Staylight's Radar plan runs 15 questions on ChatGPT, Google AI Overviews and Google AI Mode every month. Essential runs 45 questions every week on all six engines, and Pro runs 90. You pay a fixed monthly fee per hotel, from 79 euros or 79 US dollars a month, whatever the results turn out to be.
Here is how the two options, and the combination, compare on four practical points.
GEO agency What you get People who do the work Cost model Retainer or project fee Proof The agency's own reports Time from you Briefings and approvals AI visibility software What you get Measurement and a fix list Cost model Fixed monthly fee per hotel Proof Repeat scans on the same questions Time from you Your team makes the fixes Both What you get Measurement and labour Cost model Software fee plus retainer Proof Software checks the agency's work Time from you A monthly review
Questions to ask an agency before you sign
Start with the baseline. Ask for your current detection rate on non-branded guest questions, across named engines, before any work begins, and ask to keep the question list. If the first number you will ever see is the one after three months of work, you have no way to tell what the work changed.
Ask which questions they will track and who picks them. A good list mixes broad questions ("good hotels in the city centre") with the occasions you sell, such as weddings, spa weekends or family ski trips. Mosaic House Design Hotel in Prague was named for identity questions like "unique hotels to stay in Prague" and missed on location questions like "hotels in Prague city centre". A report that only tracks the questions you already win will look good and teach you nothing.
Ask how many times each question is run. AI answers change from one run to the next, so one check per question per month is a sample of one. Ask which engines are covered, because a report on ChatGPT alone misses Google's AI features, which draw on different sources.
Ask what happens if the numbers do not move, and whether you can leave. Ask who owns the content, the schema and any accounts they create in your name. Finally, ask whether they guarantee a placement. Google's documentation for site owners says there are no additional requirements to appear in AI Overviews or AI Mode, and no special optimizations needed. An AI visibility agency for hotels that promises a position in ChatGPT is promising something nobody controls.
When software alone is enough
Many of the fixes this kind of work recommends are ordinary hotel marketing jobs: correcting facts on your website, adding a page that answers a question guests ask, filling in your Google Business Profile, replying to guest reviews, asking a local guide to update an old listing. If your marketing manager or a capable front-office lead can do those, you do not need to buy someone else's hours. You need to know which jobs matter, in what order, and whether they worked.
The case-study hotels show why the order matters. Golden Well had the highest technical readiness score of the four case-study hotels, 77.1%, and was still named in only 7.1% of answers. Across the four, readiness did not predict visibility. A team that spends its first month polishing the website alone may be fixing the part that was already fine, while the gap sits in listings, reviews or the sources AI cites.
Software alone also makes sense when the budget is tight or you are not yet sure there is a problem worth paying to fix. Measure first. If you are named well on the questions that bring you bookings, an agency retainer is money you can keep.
When you need both
You need both when nobody on your team has the time or access to make changes. That is common when the website sits on a platform only an outside developer can edit, when you sell in several languages and need content in each, or when the work is outreach to editors and travel writers, which is slow and depends on relationships.
Outreach is where outside help earns its fee most clearly. AI engines lean heavily on third-party sources. In Golden Well's answers, AI cited Booking.com and TripAdvisor most, plus a French travel blog and thehotelguru.com. Getting covered on sites like those is real work, and an agency with travel media contacts may do it faster than a hotel team can.
When you hire a hotel GEO agency, keep the measurement separate from the people doing the work. Software you control, running the same questions every cycle, turns the agency's monthly report into something you can check. It also protects the agency from a bad week of AI answers being blamed on them, since a trend over several cycles is fairer to everyone than one screenshot.
How to judge results after 90 days
Compare like with like. Use the same questions, the same engines and the same competitors as the baseline. If the question list grew or changed during the 90 days, the detection rate moved for reasons that have nothing to do with the work, so compare only the questions present at both points.
Look at the engines one by one. Three of the four case-study hotels were named in none of Google AI Overviews' answers to generic questions. A gain on Gemini and no change on Google AI Overviews is a normal result, and the report should say so instead of blending it away.
Look question by question, too. Golden Well was named for occasion questions like "best hotel in Prague for a honeymoon" and missed on broad ones like "good hotels to stay at in Prague". If the work was meant to win broad questions, check those specifically. Then check the sources: is your own website cited more often, or has a new local guide started appearing in answers?
Keep the scale in mind. Mosaic House was named in 25 of 200 answers, 12.5%, tied for the highest rate of the four. At Golden Well's 60 answers per engine, one extra mention moves that engine's rate by under two points, so a small gain can be noise and a small drop can be too. A trend across several cycles tells you more than any single comparison.
Then decide. If the numbers moved on the questions you care about, keep going. If the work happened and nothing moved, ask why before renewing. If you cannot tell what happened, the problem is the measurement, and that is the first thing to fix.