GEO for Hotels: 9 Moves to Show Up in AI Search

In the first two articles in this series, we looked inward: getting your data quality and goals right before investing in AI, and using AI to improve the guest experience and personalisation. This time we turn outward, to discovery — specifically, to how your hotel gets found and recommended when a guest asks an AI for somewhere to stay.

Search is changing, fast

For two decades, getting found meant one thing: ranking on Google. That is still true, but it is no longer the whole picture. A growing share of guests now open ChatGPT, Claude, Gemini or Perplexity and simply ask for a recommendation. They describe the trip they want, and they take the shortlist the AI gives back. In an AI answer there is no page two, and there are no ads to buy your way in. Either your hotel is named, or it is invisible.

This matters commercially. About four in ten travellers now use AI somewhere in their planning, and SiteMinder's Changing Traveller Report 2026 found eight in ten want AI help while they book. The behaviour has shifted. Most hotels have not caught up.

What GEO actually means

The work of fixing this has a name: Generative Engine Optimisation, or GEO. It means structuring your content, your data and your live availability so AI tools can understand you, trust you, recommend you — and let a guest book you. Put plainly: SEO gets you ranked, GEO gets you recommended. The two overlap heavily, and GEO builds on solid SEO rather than replacing it.

GEO is an evolution of SEO, not a replacement

Before the tactics, a caveat worth stating. Google's own AI Optimization Guide makes a blunt point: optimising for its AI features — AI Overviews and AI Mode — is still just SEO, because those features run on its normal ranking systems. Google even lists the "hacks" you can ignore. You do not need an llms.txt file. You do not need to break content into tiny chunks. You should not chase fake mentions. And structured data is not strictly required for its AI answers, though it still helps with rich results.

So treat GEO as good SEO plus a few AI-specific extras, not a separate dark art. The nine steps below genuinely help ChatGPT, Claude, Gemini and Perplexity make sense of your hotel. None of them is a magic tag.

How AI actually picks a hotel

Cloudbeds looked at where AI tools pull their hotel citations from. OTAs supplied more than 55% of them. Hotel websites? About 6%. The rest came from travel blogs, forums like Reddit and Tripadvisor, and YouTube. Your own site matters, but it is a small slice of the evidence. What gets said about you elsewhere matters more.

Underneath that, it helps to think in four layers:

• Identity — does the AI know exactly who and where you are? (Your Google Business Profile and Place ID.)
• Knowledge and retrieval — what the model already knows, plus what it pulls live from the open web.
• Live inventory — your real, current rates and availability, fed straight to AI platforms via MCP.
• Corroboration — reviews and third-party sources that confirm it all lines up.

One mechanic ties it together: confidence. When your sources disagree — say your site lists a pool but Booking.com does not — the AI's confidence drops. To avoid hallucinating, it leaves you out rather than risk getting it wrong. Consistency is not admin. It is the line between getting recommended and getting skipped.

Nine moves for great GEO

In rough priority order — some need nothing more than an afternoon and honest attention; others involve your booking engine and channel manager.

1 Run a 30-minute AI visibility audit

Start by finding out what the machines already say about you. Ask your team to type your hotel's name into ChatGPT, Claude and Gemini. Read the answers like a guest would. Is it accurate? Current? Does it sound like your hotel? The gap between what the AI says and what you would want it to say is your to-do list.

Then write 10 to 15 real traveller prompts: things to do nearby, specific amenities ("pet-friendly hotel near the seafront with a spa"), family and business trips, and straight comparisons with rivals. Run them across ChatGPT, Claude, Perplexity and Gemini's AI Overviews. Note where you show up, where a competitor shows up instead, and every fact that is wrong.

2 Lock down your Google Business Profile

Your Google Business Profile is your hotel's identity card for AI. It is the anchor that lets these tools confirm all the scattered mentions across the web are the same property, using your Google Place ID. Get it wrong and you show up as duplicates, or you do not show up at all.

Make your name, address, phone and category identical everywhere: your site, your GBP, every OTA, every directory. Even small differences plant doubt. Then fill in every field — categories, attributes, amenity tick-boxes, accessibility, sustainability, connectivity, fresh photos, an accurate map pin. Every box you complete is one more signal that you are who you say you are.

3 Make your website speak machine

Most hotel websites are built to win over humans — lovely prose, atmospheric photos, paragraphs about the experience. But AI crawlers do not soak up atmosphere. They pull out facts. A pet policy buried mid-paragraph, a pool shown only as an icon, EV charging hidden in a photo caption: the crawler cannot read any of it with confidence. The hotel down the road with the same features, laid out cleanly, gets the recommendation instead.

Turn prose into facts a machine can grab. Swap the spa paragraph for a list of treatments and facilities. Give each restaurant its own details: name, cuisine, hours, covers, a signature dish or two. Lead every page with a clear, quotable line, then add the colour. Be specific: "Heated rooftop pool, open 7am to 10pm, all year." "500 Mbps Wi-Fi throughout." "12-minute walk to the seafront." Stuck on how to structure something? Look at how your OTA page lays out the same amenities, and copy the clarity.

4 Engineer the FAQ page — with schema

An FAQ page mirrors exactly how people talk to AI, and Q&A is one of the formats ChatGPT, Claude and Perplexity quote most. Write real questions with real answers, and never just "Yes". Instead of "We have a pool", write "Yes, a heated rooftop infinity pool, open 6am to 10pm, for guests only." Cover what gets asked before every booking: parking, resort fees, pets, accessibility, check-in and check-out, cancellation, breakfast, Wi-Fi speed, room types, distance from the airport.

Then wrap it in FAQPage schema. Here is a starter block you can adapt:

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [{
    "@type": "Question",
    "name": "Is the hotel pet-friendly?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "Yes. We welcome dogs up to 20kg. A £50 per-stay cleaning fee applies. Assistance animals are exempt."
    }
  }]
}

Validate it with Google's Rich Results Test, and keep the words on the page matching the words in the markup — they should be identical.

5 Add Hotel, Restaurant and Spa structured data

Add Hotel, HotelRoom and Offer markup for price and availability, plus Review snippets and ImageObject for photos, with IDs that match your booking feed. Apply specific structured data for your restaurant or spa pages. It helps the tools read your hotel cleanly.

Stay honest about it, though. As Google's guide says, schema.org markup is not required for its AI answers and will not act as a shortcut. Other engines lean on it more. Do it for clarity and rich results, not miracles.

6 Connect your live rates to AI platforms via MCP

This is the layer most GEO advice skips, and it is the one with real money attached. Schema organises your static content. The Model Context Protocol (MCP) handles the live stuff — a direct bridge that feeds your real, current rates and availability straight to the AI platforms. Without it, a tool might quote an old scraped rate. The guest clicks through, hits a different price on your booking engine, and books nothing. With it, the AI shows accurate rates and sends the guest straight to your booking page.

There is urgency here. When ChatGPT's app directory launched, Booking.com and Expedia were in from day one. Most independents had nothing. That gap is only starting to close. And a guest who arrives from an AI conversation is already half-sold — they have told the assistant exactly what they want, so they land ready to book, not browse.

Here is where the main booking engine platforms stand as of June 2026. Check directly before you rely on any single row, because this moves month to month.

7 Turn guest reviews into GEO fuel

AI reads your reviews to work out your hotel's character. When dozens of guests mention "perfect for couples", "brilliant spa" or "walkable to the coast", the tools learn to put you forward for exactly those trips. So nudge guests to mention the specifics after they stay. Keep reviews fresh across your Google Business Profile, Tripadvisor and the OTAs. Reply to threads — including the ones on Reddit and travel forums, because those surface in AI answers too. Keep it real: Google is clear that chasing fake mentions backfires.

8 Build authority and earn off-site mentions

Most AI citations come from off your own site, so build your name in both places. On your site, create a local guide hub with linked pages: a neighbourhood guide pointing to coastal walks, the best local tables, things to do nearby. That tells AI you are the property that knows the area, and it recommends you as the base for the trip. Off your site, get into the "best hotels in [area]" round-ups and the editorial that AI trusts — these tools read which words sit next to your name, so "romantic" and "spa" nearby do real work. Partner with travel writers, niche bloggers and your regional tourism board. And remember Google's north star: genuine, first-hand writing beats recycled copy every time.

9 Track AI traffic in GA4

You cannot improve what you do not measure. Quickest method: in GA4, open Acquisition → Traffic acquisition, set the dimension to Session source/medium, and search "chat". For more detail, build an Exploration — or a custom channel group called "AI Tools", placed above Referral — that filters Page referrer with this regex:

^https:\/\/(www\.meta\.ai|www\.perplexity\.ai|chat\.openai\.com|
claude\.ai|chat\.mistral\.ai|gemini\.google\.com|chatgpt\.com|
copilot\.microsoft\.com)(\/.*)?$

One catch: traffic from AI apps often lands in "Direct", and Google's AI Overviews stays in "Organic" — so this undercounts. Pair it with branded search volume, direct booking trends, assisted conversions, and the citation baseline you established in Move 1.

Common mistakes to avoid

The usual culprits: name, address and Place ID that do not match across platforms; amenities buried in prose or shown only as icons; no FAQ page; thin or stale reviews; treating GEO as a one-off project; and — just as often — pouring effort into the "hacks" Google explicitly tells you to skip.

Final thoughts

The hotels that win in AI search are easy to identify, easy to trust, easy to quote and — increasingly — bookable inside the conversation itself. None of that requires a big budget. It requires consistency, clear structure and a willingness to act before the window narrows. The OTAs were inside ChatGPT from day one. Independent hotels that move now will win the ready-to-book guest while the rest are still catching up.

A sensible order: start this week with the audit and your Google Business Profile (Moves 1 and 2). Over the next fortnight, tackle structure, FAQ and schema (Moves 3 to 5). Then turn to live distribution — ask your booking engine provider, today, whether you can switch on MCP (Move 6).

We are mapping this landscape as it moves, and MCP in particular is changing month to month. If you have switched on AI distribution through RateGain, SiteMinder, Cendyn or another provider, we would value hearing how it is performing in your own booking data. Vendor claims are one thing; real-world results are another.