Is your hotel in the answer? How travellers now book through ChatGPT, Claude and Gemini
There is a question worth asking about your property that, two years ago, would have made no sense at all: when a traveller asks an AI assistant where to stay in your town, does it mention you?
For a growing share of your future guests, that is no longer a hypothetical. It is the first step of the journey — and for many properties, it is the step where they quietly disappear.
The front door has moved
The way people decide where to stay is shifting, and faster than most independent owners realise. By early 2026, somewhere between a third and 40% of travellers were already using AI tools at some point in planning a trip, according to research from Boston Consulting Group and others. Among younger travellers — the Millennial and Gen Z guests who will fill your rooms for the next two decades — that figure climbs past 60%.
What matters more than the headline number is what those travellers do next. A study published by TakeUp in early 2026 found that more than three-quarters of travellers who use AI had gone on to book something primarily because an assistant recommended it. The same research found that 84% said a trusted AI recommendation made them more likely to book a particular property, and that travellers now trust AI suggestions at least as much as review sites or word of mouth.
This is the part owners tend to miss. AI is no longer just a clever way to draft an itinerary. It has become a recommender — a layer that sits in front of the booking, filtering the world down to a short list before the traveller has opened a single booking site.
Five names, not fifty
A traditional Google search hands back pages of results and leaves the traveller to sort through them. An AI assistant does something different: it answers. Ask it for the best small hotels in a given town and it will typically name a handful — five, perhaps — with a sentence on each. The traveller reads those few, picks two or three to verify, and moves on.
If your property is one of the five, you are in the conversation. If it is not, you were never even a candidate. There is no second page to be found on. The shortlist is the whole game, and it is shorter than it has ever been.
This is why “are we ranking on Google” is no longer the only question that matters. You can rank perfectly well on a search engine and still be absent from the answer an assistant gives, because the two systems decide what to surface in different ways.
Why AI leaves some properties out
AI assistants do not invent recommendations. They assemble them from what they can find and confidently understand about a property — its own website, its Google Business Profile, its presence in trusted directories and guides, its reviews, and the consistency of all that information across the web.
The phrase to hold onto is confidently understand. An assistant will hesitate to recommend a property it cannot describe with confidence, in much the same way a person hesitates to recommend a restaurant they only half-remember. If your details are thin, contradictory, or scattered — a different address on three platforms, no structured information a machine can read, a website that talks beautifully to humans but says nothing legible to software — the assistant has little to work with, and it quietly favours the property next door whose information is clean and complete.
None of this is about gaming an algorithm. It is about being legible: making the true facts of your property easy for a machine to find, read, and trust. The irony is that independent boutique properties often have the most distinctive, most recommendable stories — and the least structured way of telling them.
What being “in the answer” actually requires
There is no single trick, and anyone promising one should be treated with suspicion. What works is a set of unglamorous foundations, done properly and kept consistent:
A website that states the facts of your property clearly — location, size, character, what makes it specific — in language both people and machines can extract. A complete, accurate Google Business Profile. Consistent name, address and contact details everywhere you appear, so nothing contradicts. Structured data and the machine-readable files that assistants increasingly draw on. Presence in the handful of directories and guides that genuinely feed AI recommendations in your category. And a steady, well-managed flow of reviews, because assistants read those too.
Each of these is modest on its own. Together they are the difference between a property an assistant can recommend with confidence and one it skips.
The window is open, briefly
Here is the encouraging part. This shift is new enough that very few independent properties have done anything about it. The large chains are spending heavily — industry reports put average AI-visibility budgets per hotel in the hundreds of thousands for 2026 — but most owner-run boutique hotels and holiday lets have not yet moved at all. That is a gap, and for once it favours the small and the quick. The property that gets its foundations right now, while the category is still wide open, earns a position that is genuinely hard for a latecomer to displace.
The booking still happens where it always did. What has changed is the moment before it — the moment a traveller turns to an assistant and asks, and either hears your name or doesn’t.
Getting into that answer is real work, and it compounds quietly over months rather than arriving overnight. But it is work with a clear shape — much of it the same hotel SEO and digital-foundations work — and it is exactly the kind of thing we spend our days on so that owners don’t have to.
Reserved Hospitality manages booking operations for independent boutique hotels and holiday lets — including the digital foundations that decide whether AI assistants can find and recommend you. If you’d like to know what an assistant says about your property today, that’s a question worth answering before your competitors do.