How to Get Your Hotel Recommended by ChatGPT: What to Fix on Your Website
AI assistants recommend the places they can understand, trust and link to. Six fixes for hotel and campsite websites, with data from 2,095 hotel sites.
To get your hotel or campsite recommended by ChatGPT, make your own website as easy for AI to read as your OTA listings. AI assistants recommend places they can identify, describe accurately and link to. That means a complete machine-readable identity, answers to the questions travelers actually ask, official policies, and a visible path to book. Most hotel websites are missing most of them.
We know because we measure it. Our AI Readiness benchmark audits 2,095 hotel websites in 21 countries every month. In the October 2026 edition, the average hotel scores 27.6 out of 100. The best, Hotel Royal in Gothenburg, reaches 58. That score measures what a website gives AI to read, not what assistants end up saying about the hotel: fixing it doesn’t guarantee a recommendation, it removes the reasons not to make one.
Here is what to fix.
Why does ChatGPT describe my hotel with Booking.com’s words?
Because your Booking.com listing is complete, standardized and on a site AI already trusts, and your website often isn’t.
An OTA listing tells a machine everything in fields: property type, address, coordinates, amenities, check-in time, pet policy, cancellation terms, reviews. Your own site tells the same story in photos and marketing copy. When a traveler asks “a quiet hotel with a pool near Annecy, dogs welcome”, the AI answers from the sources it finds and trusts, and it can only repeat what those sources state clearly. That’s usually the OTA, and the link it gives the traveler goes there too.
You don’t have to beat the OTA at SEO. You have to stop being the harder source to read.
What should I fix first?
| # | Fix | What AI gets from it | French hotels that pass today* |
|---|---|---|---|
| 1 | Declare what you are, completely | Identity, location, amenities | 43% declare a type, 3% fill it in |
| 2 | Make sure AI can read the page | Access to your content | 85% put content in the HTML |
| 3 | Answer travelers’ questions on the site | Quotable answers | 0% have FAQ coverage |
| 4 | Make sure AI picks the right place | No confusion with namesakes | 16% link their official profiles |
| 5 | Publish your policies officially | Facts it can repeat | 0% structure their cancellation policy |
| 6 | Show AI how to book you | A link to your booking page | 0% declare a reservation action |
*Live cohort of 111 French hotel websites, 30 October 2026. Each figure is the share of all 111 sites passing that check in our audit, so the 11 sites that blocked our audit count as not passing.
1. Declare what you are, completely
Structured data (schema.org markup) is how a website tells machines “this is a hotel, here is its address, here is what it offers”. Without it, AI guesses from prose, and guessing is where wrong amenities and wrong prices come from.
Across our 21-country hotel benchmark, only about one in three hotel websites declares a valid type such as Hotel, Campground or LodgingBusiness. French hotels do better at 43%. But declaring the type is the easy part: only 3% of French hotels fill in the details that make it useful, such as coordinates, amenities, check-in and check-out times, star rating and price range.
A markup that says “Hotel” and nothing else is a business card with only a logo on it.
Markup is the floor, not the lever. In Discovered Labs’ analysis of 2 million AI citations (August 2026), schema had no independent effect on whether a page gets cited once the site’s authority and the depth of its content were accounted for. What markup does is let AI read you correctly in the first place. The five pillars of AI Presence Readiness explain how we score that floor.
2. Make sure AI can read the page
This one fails silently. Most hotels don’t block AI on purpose: 89% of French hotel sites allow AI search crawlers in robots.txt. The problems hide elsewhere:
- A firewall or bot protection that blocks AI crawlers before robots.txt is even read. 11 of the 111 French hotels we audited blocked our audit outright.
- Content rendered only in JavaScript. Visitors see everything, but many AI crawlers don’t run JavaScript and see an empty page.
- Key facts only in images or PDFs. The room list, the spa menu or the pet policy sits in a brochure PDF that AI reads unreliably, if at all.
3. Answer the questions travelers ask
Travelers no longer type “hotel Annecy”. They ask “can we bring the dog?”, “is breakfast included?”, “is there parking for a van?”, “is it better for families or for couples?”.
AI answers those questions by quoting a source. If your website answers them in plain sentences, ideally in a visible FAQ, the source can be you. Among French hotels, none pass our FAQ coverage check, and only 2% use comparison tables (room types, seasons, packages) that AI can lift directly.
Here is the difference, on a made-up hotel:
- Before: “Our charming hotel welcomes you for an unforgettable stay in the heart of Annecy.”
- After: “We are 800 meters from Annecy’s old town. Private parking costs €15 a night and fits a van. Dogs are welcome in four of our rooms for €10 a night. Breakfast is included in every rate.”
The first version answers none of the four questions above. The second answers three of them, in sentences AI can quote as they are.
This is also the cheapest fix on the list. It’s writing, not development.
4. Make sure AI picks the right place
Hotel names repeat. There are many Hôtel du Lac, many Villa something, many Camping des Pins. When AI can’t tell which one you are, it merges two properties into one answer, with the other one’s amenities and the other one’s reviews.
Two things prevent this. Your structured data should carry your exact coordinates, and it should link your official profiles (Google Business Profile, Booking.com, TripAdvisor, Wikidata if you have an entry) through sameAs. Only 16% of French hotels declare those links.
5. Publish your policies officially
Check-in time, pets, cancellation terms, accessibility, minimum stay. These are the facts travelers ask AI to compare, and the facts AI gets wrong most often when it has to guess from an old review.
Put them on your site in text, in one place, with structured data where it exists. In our French cohort, no hotel publishes its cancellation policy as structured data, while every OTA holds it in fields, rate by rate. That last part matters: cancellation terms usually depend on the rate, refundable or not, so state them for each rate rather than as one rule for the hotel.
Accenture points the same way from the agent side. Its September 2026 travel report, Win the AI agent, win the traveler, built on a survey of 5,003 travelers, says hotels “should make rates, policies and loyalty benefits easy for agents to understand and apply”.
6. Show AI how to book you
AI assistants are starting to act, not only recommend: check availability, compare prices, send the traveler to a booking page. The hotels that win this step are the ones where the booking path is visible and machine-readable from their own domain.
Today, about a third of hotel websites in our benchmark expose a partial booking path, and almost none a complete one. You don’t need to change your booking engine. You need AI to know it exists and where it is. That is what sends the traveler to your booking page. Booking on the traveler’s behalf, with live prices and availability, takes more than markup: a connection to your booking engine that the assistant supports.
What about llms.txt?
Publish one, but don’t start there. About a third of hotel websites in our benchmark already publish an llms.txt, but only 0.4% pass our quality gate together with their ai.json. And a wrong file does harm: an llms.txt that says “pets not allowed” while your page says otherwise gives AI two versions to choose from.
Fixes 1 to 5 are what make an llms.txt worth reading.
Isn’t this just SEO?
Part of it overlaps, and your SEO work isn’t wasted. But SEO optimizes for a ranked list, and AI returns an answer with two or three names in it. SEO got you into the list; AI Presence gets you into the answer. The failure mode is different too: weak SEO puts you on page two, while a weak AI Presence gets you described with facts you never approved.
How do I check my own website?
Run the free AI Readiness check on your homepage. It runs 45 checks in a few minutes and shows which of the six fixes above apply to you.
To see the other side, ask ChatGPT, Gemini and Perplexity the questions your guests ask, without naming your property. Do they pick you? Do they describe you correctly? Do they link to your site or to an OTA? That’s what the AI Visibility audit in Globetrotters Studio measures, and what our platform for hotels and campsites helps you fix: your official information, governed in one place and published on your own domain. Our step-by-step guide shows how to run this check yourself.
Sources
- Globetrotters.ai, AI Readiness statistics for travel brands, October 2026 edition: the 2,095 hotel websites in 21 countries behind the benchmark figures.
- Globetrotters.ai, live cohort of 111 French hotel websites, audited with the same 45 checks on 30 October 2026: the French figures in the table and in each fix.
- Accenture, Win the AI agent, win the traveler, September 2026.
- Discovered Labs, What actually drives AI citations, August 2026.
