When Guests Ask AI Where to Stay, Is Your Hotel in the Answer?

Somewhere right now, a guest is asking ChatGPT, Gemini, Grok, Meta’s Muse, or Google’s AI Mode where to stay in your city. Your hotel isn’t in the answer. You will never know.

There’s no lost booking to look at, no bad review, no drop in traffic you can trace. The guest just never hears your name.

That’s what should keep hotel owners and management companies awake at night. Not that AI will take your bookings, but that AI has already started deciding which hotels guests even consider, and most independents can’t see it happening.

What one city revealed about hotels and AI

This autumn, Carlo Del Mistro and the team at Stiplo published the most rigorous study I’ve seen on how AI recommends hotels:

• 659 accommodations in Barcelona

• 27,360 AI travel answers

• 4 AI assistants, 3 languages

• Every question asked 20 times, because AI answers change from one run to the next.

The headline, presented at Skift’s Data + AI Summit in London this month:

Independent hotels were 8 times more likely than chains to be completely unknown to AI.

But once an AI knew an independent hotel, it recommended it about as often as a chain. So the problem isn’t your product or your brand. It’s that the AI has never heard of you.

The numbers every hotelier should see.

• About 1 in 5 hotels was never recommended at all, in any language, by any AI.

• About 20% of hotels captured more than 80% of AI mentions.

• About 68% of what AI said about hotels came from guides and listicles. Only about 7% came from hotel websites.

• Only about 7% of AI recommendations linked to the hotel’s own website. Most pointed to OTAs (Booking.com most often), TripAdvisor, and listicles.

Your website, the direct booking engine you’ve invested years in, supplies about 7% of what AI says about your hotel.

And AI is no longer just recommending hotels. It’s booking them.

Google’s AI Mode now lets US travelers book hotels without leaving the conversation. Its launch partners are the big chains and the OTAs, not independents.

Meta’s Muse, the assistant now built into WhatsApp, Instagram and Facebook, is rolling out booking too. It completes hotel bookings by working through sites like Expedia and Hotels.com, not through the hotel’s own systems. When Skift tested it on Hilton, Marriott and Hyatt websites, Muse hit errors before it could get to a rate.

So the assistant your guests already use every day is learning to book, and its easiest route runs through the OTAs. If AI doesn’t know your hotel, it can’t recommend you. And if it can’t book you directly, it books someone who pays commission.

Hotel “AI optimization” is mostly the wrong fix.

Hotels are being sold LLMs.txt files, crawler settings, FAQ markup, and schema packages as “AI optimization.” The Barcelona data found no measurable independent effect from any of them.

What did move hotel visibility in AI:

1. Google review volume. It was the strongest single driver.

2. Backlinks and existing Google rankings.

3. Being featured in the guides and listicles AI actually reads.

4. Clear content that answers real guest questions.

AI didn’t create this gap. It exposed the fundamentals many independents left to the OTAs, and now it’s widening the gap.

“But AI bookings are tiny.” That’s the opportunity.

It’s true. Booking Holdings says less than 1% of its room nights come from AI. Bernstein estimates about 1.6% at Marriott.

But hotel shortlists form long before bookings do. About a third of AI hotel recommendations come from what the model already “remembers” from training. That memory is being built right now, while volumes are small and few hotels are paying attention.

The hotels that get into AI’s memory in 2026 will be the defaults in 2028. Independents have seen this before: those who ignored Google in 2008 and OTAs in 2012 spent the next decade buying back visibility at 15 to 25% commission.

Fix the foundation before you buy AI tools.

1. Test your hotel in AI. Ask ChatGPT, Gemini, Grok, Perplexity, Meta AI, and Google’s AI Mode the questions your guests ask, several times each. See which hotels appear. That’s your real competitive set.

2. Make reviews a weekly KPI. Build review requests into checkout, post-stay messages, and the front desk routine.

3. Get into the guides AI reads. Find the local listicles and travel articles the assistants keep citing, and pitch them.

4. Make your website answer questions. Cover parking, accessibility, quiet rooms, distances, and late arrival in plain language.

5. Then add AI tools. Once you’re visible, AI booking and guest messaging tools have something to amplify.

A structured starting point for your hotel

If you would like a structured starting point, you can try the AIDURIX Hotel AI Diagnosis demo, which walks you through the questions I use to assess where a hotel stands on AI readiness. Please note that the demo runs inside ChatGPT, so you will need to be signed in to a ChatGPT account to open and test it.

I’m also looking for a few hotels to join the live version. If you run or manage an independent or boutique hotel (10 to 250 rooms) and want to go beyond the demo, with a real diagnosis of your property’s AI readiness and visibility, send me a message or comment “LIVE” below. Places are limited so I can give each hotel proper attention.

One question for your team this week

Not “what’s our AI strategy?”

Ask: “When a guest asks AI where to stay in our city, is our hotel in the answer?”

If nobody knows, that’s your answer.