GEO for hotels
Before a guest ever opens Booking.com, the AI has alreadyshortlisted three hotelsfor their trip
Trip planning now starts earlier than your funnel. A traveler describes the stay they want to ChatGPT or Gemini before opening a single OTA tab, and the assistant answers from whatever it can already find about your property — not from a call to your front desk.
The guest who asks an AI to plan their weekend has already made half the decision by the time they type your name into a search bar — or never types it at all.
How your customers ask
How guests actually ask
A hotel search rarely starts with a hotel name. It starts with a trip: a wedding weekend, a conference, a family reunion, a long layover. The traveler describes the shape of the stay — neighborhood, budget, dates, a dealbreaker like parking or a crib — and the AI assembles a shortlist from whatever it has already absorbed: OTA listings, review sites, your own site if it's readable, local guides, forum threads. Independent hotels and small groups are the most exposed here, because aggregators like Booking.com and Expedia are structured, frequently crawled, and built for exactly this kind of extraction, while a property's own site is often a template with a photo gallery and a "book now" button and little else an assistant can lift. That imbalance quietly reinforces commission dependence: if the AI's only real evidence of your rooms, policies, and amenities lives on the OTA page, the OTA gets cited, and the guest books through it out of habit even when your own rate would have been better.
Why it matters
What's actually happening
The OTA is the only page the AI can read
If your own site is a template with a gallery and a book-now button, an assistant has nothing to cite but your Booking.com or Expedia listing. That's the copy it repeats back, commission rate and all, even when a guest would rather book direct.
Review text, not star rating, is the evidence
A 4.6 average tells an assistant almost nothing. What it can actually use is recent guest language about specific things — soundproofing between rooms, whether breakfast runs past 9, whether the parking garage fits an SUV. Thin or generic reviews leave it with nothing concrete to recommend on.
Rate and availability questions expose a blind spot
A guest asking what's available under $200 this weekend is asking a question no AI can answer live — your rates and inventory usually aren't published anywhere it can read them. The assistant either guesses, cites a stale OTA snapshot, or drops your property from the answer entirely.
Go deeper
Articles for Hotels
Fundamentals
AI visibility for hotels: how ChatGPT recommends your property
Strategy
Away from commission: how GEO wins back direct bookings for hotels
Practice
Rooms, sauna, dog: how to make your hotel website AI-readable
Data & studies
Does your hotel get named? Measuring AI visibility for accommodation
Strategy
Why reviews decide whether the AI recommends your hotel
Questions hotel owners actually ask
Will this hurt our relationship with OTAs or our ranking on them?
No — this doesn't touch your OTA listings at all. It's about making your own site and public information rich enough that an AI assistant has a reason to cite you directly instead of only ever repeating the OTA page. The two channels aren't in tension; a thin direct presence is what pushes every AI-driven guest back toward paying commission.
We can't control what guests write in reviews — how do we influence what the AI 'knows'?
You can't script reviews, but you can shape what gets written about and where you respond. Asking guests specific questions at checkout (parking, noise, breakfast timing) surfaces the detail assistants actually use, and thoughtful owner responses on public review platforms add more of that same specific, machine-readable context.
Is there a risk in an AI quoting a rate or availability that's wrong?
Yes, and it's worth taking seriously — travel-industry rules in most markets already require that displayed prices reflect the real total a guest pays, and an assistant repeating a stale or incomplete rate can create exactly the kind of mismatch regulators and OTAs have been pushed to fix. The safest response isn't to hide pricing; it's to keep your own published rates, fees, and availability current and consistent everywhere, so there's an accurate source for the assistant to draw from instead of an outdated one.