AI visibility for luxury hotels: what ChatGPT and Gemini tell your guests

The guest now asks an assistant first

A traveller planning an anniversary in Bangkok, or an offsite for forty people in Singapore, used to start with a search page, a few tabs and a trusted travel advisor. More and more of them now start with a single question to ChatGPT, Gemini, Perplexity or Claude, and get a single answer back. That answer names three, maybe five, properties and explains why each one fits. It is a shortlist, written in confident prose, before the guest has seen a single brand website.

For luxury properties this matters more than for almost anyone else. The guest is choosing between a handful of names they already half know, and the assistant’s framing quietly decides which one feels right: the quietest, the most romantic, the best for a private dinner. A property that is missing from that answer, or described with last year’s restaurant and an old ballroom capacity, has lost the guest before any booking engine, rate parity check or beautiful photography gets a chance to work.

At Be the Answer we have been measuring what these assistants actually say about luxury hotels in Asia. The picture is encouraging for well-known brands, and uncomfortable in ways most hotel marketing teams have not yet looked at.

Named often, chosen less, and rarely in their own words

In October and November 2026 we put 41 unbranded guest questions to ChatGPT, Gemini, Claude and Perplexity for two luxury hotel groups operating across Asia. The questions were the kind real guests ask: a honeymoon in Singapore, a wedding venue in Penang, a quiet hotel in Kyoto, a ballroom for a product launch in Manila. That gave us 164 answers to read line by line.

Four patterns stood out.

Being named is not the same as being chosen. Both groups appear in most answers, which is what you would expect of strong brands. But the property the assistant names first, and frames as the obvious choice, is a different story. Group B was mentioned in nearly three answers out of four and put first in fewer than one in four. On meetings and events, global chains with large, well-structured venue pages were placed ahead far more often.

Whole cities and whole guest needs can go missing. Group A was absent on all four assistants for one city where it runs a hotel, and absent on three of four for wellness questions, where specialist retreats took the answer. These are not small gaps. They are the questions a property was built to win.

Other people tell the story. Across Group B’s answers the assistants read 1,313 sources. Only 4% came from the brand’s own website. Competitor hotel sites made up almost a fifth, and Reddit threads, Wikipedia, booking sites and Tripadvisor filled much of the rest. One assistant did not reach the brand’s site once in 21 answers.

Details drift. Headline facts held up well: ballroom capacities matched the hotel’s own tables on every assistant. The finer details did not. Asked about one hotel’s Japanese restaurant, four assistants gave three different answers. A resort’s wedding marquee was quoted at 130 to 260 guests by one assistant and 50 to 150 by another, with one admitting it relied on older third-party listings. For a couple planning a wedding, that difference is the decision.

Why luxury has more to lose

Most of what is written about AI visibility assumes a mass-market brand trying to be noticed. Luxury properties have a different problem. Guests already know the names. What the assistant controls is the order, the reasons and the details, and in luxury those three things carry the sale.

The value of each answer is high. A suite night, a wedding or a three-day incentive programme is worth more than most brands earn from a thousand clicks. When an assistant recommends a competitor for a buyout or a milestone celebration, that is a single, large booking gone, often with the guest’s friends and colleagues following the same advice.

The voice is not yours. Luxury brands spend years building a careful, specific way of describing themselves. An assistant summarising Reddit threads and booking-site reviews will flatten that into generic phrases, or worse, borrow the framing of a rival. In one market we tested, the competitor named first for special occasions owned a single idea, its harbour view, so completely that every assistant led with it.

The facts move. Restaurants close and reopen with new chefs. Spa programmes change. Ballrooms are refurbished and capacities shift. Each change sits in a press release or a social post, while older listings and blog posts stay online and keep feeding the answer. Without a clear, current source of truth on the property’s own pages, assistants fill the gap with whatever they find.

Direct booking is on the line. If the assistant’s supporting links point to booking sites rather than the hotel, the guest’s next click goes there too, with the commission that comes with it.

Five things luxury properties can do now

1. 01

   Start from the guest’s questions, not your room categories. List the 30 to 50 questions your best guests actually ask before they book: the anniversary, the family suite with connecting rooms, the private dining room for twelve, the wellness week. Write them in the languages your guests use. This list becomes the brief for everything that follows, and the yardstick for measuring progress.

2. 02

   Make your own pages easy for a machine to read. On the luxury hotel pages we checked, none carried structured data, none had a proper main heading, and one room page was titled only with a generic group slogan. Ballroom capacities sat inside script code rather than readable text. Give every room, venue and restaurant a page that states plainly what it is, who it suits, how big it is and how to book it, in text an assistant can lift as a sentence.

3. 03

   Keep one register of facts, and publish from it. Capacities, opening hours, chef names, spa treatments, policies on children and pets: keep them in one approved list and update the website, booking-site listings and press materials from that list whenever anything changes. Most of the errors we found came from old third-party pages that no one had corrected.

4. 04

   Earn the sources assistants trust. Reddit, Wikipedia, review sites, travel media and wedding and events directories shape a large share of what assistants say. Check that your Wikipedia entries are accurate, claim and complete your directory listings, answer honestly where guests discuss you, and give travel editors specific, quotable facts rather than mood.

5. 05

   Own one clear idea per city and per occasion. The properties that win first place tend to be described with one strong reason: the harbour view, the privacy, the chef. Decide what yours is for each guest need, say it consistently across your own pages, PR and partners, and let the assistant repeat it for you.

Measure it the way guests experience it

You cannot manage what you only check by typing your own hotel name into ChatGPT. Branded questions flatter almost every property; the real test is the unbranded question a guest asks when they have not yet decided. Track a fixed set of those questions across the main assistants, in the markets and languages that matter to you, and record three things each time: whether you are named, whether you are named first, and which sources the answer leans on.

Answers vary from one run to the next, so read the results as ranges and treat a change as real only when it moves outside the earlier range. Re-measure each quarter on the same questions, and tie every content change to the questions it was meant to move. Over a few months, that turns AI visibility from an anxiety into a number your revenue and marketing teams can plan around.

If you would like to see what the assistants say about your property today, Be the Answer can run an AI readout on the questions your guests ask, and walk you through what it shows.