AI Search for Hotels: Why Travellers Ask ChatGPT Where to Stay
Quick answer: when someone asks an AI assistant where to stay, the assistant names specific hotels. It picks them from what it can read and confidently describe. Properties whose details live only in an OTA listing, or in photographs with no text, usually are not named at all.
Trip planning used to start with a search box and end on Booking.com. Increasingly it starts with a question: "where should I stay in Miami Beach for a long weekend, walkable to the beach, under $250 a night?" The answer is a short list of named properties, not ten blue links.
Why the shortlist is short
A traditional results page shows ten options and lets the traveller choose. An assistant names three or four. The competitive dynamic is completely different: being tenth on Google still gets some traffic, whereas being fourth in an assistant's shortlist often means being left out entirely.
That raises the cost of being unreadable. An assistant will not recommend a property it cannot describe with confidence, because a wrong recommendation is worse for it than a vague one.
What makes a hotel readable
Specific detail about the property, in text. Room types with actual descriptions. Amenities listed rather than implied by a photo. Distance to the things people search on: the beach, a convention centre, an airport. A page that says "luxury oceanfront experience" tells an assistant nothing it can repeat.
Details a machine can parse. The information about your rooms, rates and location needs to exist in a form search engines and assistants read directly, not only inside images or a booking widget that loads after the page.
A Google Business Profile that is actually filled in. Attributes, amenities, room features, recent photos. Assistants and Google both draw on this, and most properties complete it once at launch and never revisit it.
Reviews with volume and recency. Recency matters more than most hoteliers expect. A property with 1,000 reviews where the newest is eight months old reads as one that has gone quiet.
Consistency between your site and the OTAs. If Booking.com says you have a pool and your own site never mentions it, an assistant has two conflicting sources and will hedge or skip you.
The economics: this is a direct-booking problem
Here is why it matters commercially rather than just as a visibility exercise.
A guest who books through an OTA costs you commission. Published rates run roughly 15 to 25 percent: Booking.com around 15 percent, Expedia typically 18 to 22 percent. That is the same guest, the same room, the same night, at a materially lower net rate.
When an assistant recommends your property and links to your own site, that booking arrives direct. When it recommends the OTA listing instead, because that is where the readable information lives, you pay for a guest who was already choosing you.
Work the arithmetic on your own numbers rather than a generic figure. Take your average nightly rate, multiply by the commission you actually pay, and that is the value of one booking moved to direct. Multiply by a realistic number of additional direct bookings a month. For most independent properties the figure is meaningful without being fantastical.
What to do first
- Write real detail about your rooms and location. Not adjectives. What is in the room, how far to what, who the property suits.
- Complete the Google Business Profile properly, then keep it current with photos and posts.
- Build a steady review habit rather than occasional pushes.
- Make sure your own site can be booked from. If every path leads to an OTA, you have outsourced the relationship.
- Check what assistants say about you today. Ask ChatGPT and Perplexity where to stay in your area and see whether you appear, and whether what they say is accurate.
That last one is worth doing before anything else. It takes five minutes and it is usually clarifying.
FAQ
Do AI assistants really influence hotel bookings?
They influence the shortlist, which is where most of the decision happens. A traveller asking an assistant for recommendations gets a handful of named properties and usually researches those rather than starting over.
How is this different from normal hotel SEO?
Traditional SEO optimises for ranking in a list. AI search optimises for being described accurately enough to be named. The overlap is large, but detail and machine-readability matter more, and rank position matters less.
Why does it matter whether a booking is direct?
OTA commission runs roughly 15 to 25 percent of the room rate. The same guest booked direct is worth that much more to the property, with no change in occupancy or rate.
My property is listed on Booking.com and Expedia. Is that enough?
It gets you found, at a cost, and it means the OTA owns the guest relationship. It also means the richest description of your property lives on someone else's domain, which is exactly what you do not want an assistant citing.
How long does it take to see a difference?
Profile and content changes can affect what assistants say within weeks, since they retrieve current pages. Review volume and search rankings move more slowly, over a few months.
Want to see how AI assistants describe your property right now? The free PracticeRank score checks your visibility across Google, AI assistants and your review profile.