AI visibility for hotels: how ChatGPT, Gemini and Perplexity decide which hotels to recommend

AI visibility is whether an AI assistant names your hotel, describes it accurately, and sends the traveler to you rather than to an intermediary when someone asks where to stay. That is the whole definition. The rest of this guide covers how it works and what to do about it.

It matters because “where should I stay in Lisbon for a long weekend” is increasingly asked of ChatGPT, Gemini, Perplexity or Claude instead of being typed into Google. The answer comes back as three to five hotels, each with a link. If you are one of them, you have a new direct channel. If you are not, you are invisible to that traveler, and no dashboard you currently use will show it.

AI visibility, AEO and GEO for hotels: the terms

You will see three labels for the same work:

• AEO (answer engine optimisation): making your business the answer an AI gives.
• GEO (generative engine optimisation): the same idea, named after how the engines generate text.
• AI visibility: the measurable outcome. Are you named, is the description accurate, does the link go to you?

We use “AI visibility” because it names the result rather than the technique, and because a hotel owner can check it in a few minutes.

How ChatGPT, Gemini and Perplexity choose hotels

An AI assistant answering a hotel question draws on three things, in some combination:

1. What it learned in training. Travel articles, guides, forums and review summaries that existed up to its knowledge cutoff. A hotel that was well covered online a few years ago is in there. A newer or quieter one is not.
2. What it finds on the live web. For a hotel question that usually means “best hotels in [city]” lists, OTA category pages, review sites and a few travel blogs. It combines these into an answer and cites some of them.
3. The traveler’s constraints. Budget, neighbourhood, amenities, who they are traveling with. The assistant matches these against facts it can verify. If your facts are easy to read, you are easy to recommend. If they live in a brochure PDF or a photo carousel, you get skipped or guessed about.

Two things follow from this.

Your Google ranking does not carry over. When Ahrefs analysed the 1,000 pages ChatGPT cited most in September 2025, 28% of them had no organic search rankings at all. AI discovery is a separate layer.

Your own website is rarely the main source. In a separate Ahrefs study of “best X” questions in software, products and agencies, “best” lists made up 43.8% of the pages ChatGPT drew on. That study did not cover hotels, but the pattern matches what we see in hotel answers: the list articles about your city shape the recommendation more than your homepage does.

Why independent hotels are usually missing

AI assistants favour sources they can trust and read. For most independents, the available sources are thin, out of date or wrong.

LuxDirect ran 2,700 traveler queries about 25 luxury hotels in London across six AI platforms. Five hotels took 57% of all recommendations. A 26-room independent appeared more often than a 174-room chain property in the same tier. And 65% of Google AI Mode answers linked to OTA booking pages rather than to hotel websites.

Size did not decide the outcome. Sources did. The hotels the assistants kept naming were the ones that appeared consistently, with consistent facts, across the pages the assistants read.

The four parts of a hotel’s AI visibility

Four things you can measure:

Measure	The question it answers
Named	On a fixed set of traveler questions for your location and type of hotel, how often does your hotel appear? Zero is a common starting point.
Accurate	When you are named, is the description right? Wrong neighbourhood, a restaurant that has closed, a “family resort” label on an adults-only property: all common, all fixable.
Direct	When you are named, does the link go to your website, or to Booking.com or Expedia? Named with an OTA link means you won the recommendation and lost the commission.
Persistent	Does the result hold across repeated checks and across weeks? One good answer is noise. Three consecutive checks is a signal.

Persistence matters because AI answers move constantly. Ahrefs tracked more than 43,000 keywords and found that Google’s AI Overviews changed about every two days. Between consecutive checks, about 45% of the cited sources were new, even though the meaning of the answer barely changed. A single check tells you very little.

How to measure your hotel’s AI visibility

Build a set of questions, not a keyword list. Write 20 to 30 questions a real traveler would ask, across three intents:

• Discovery: “boutique hotels in [neighbourhood] with a terrace”
• Evaluation: “is [your hotel] good for a couple?”
• Booking: “how can I book [your hotel] directly?”

Then lock the set. If you reword the questions between checks, you cannot compare the results.

Run each question more than once on each assistant, and record four things: named or not, the description, where the link goes, and which sources were cited.

Check on a schedule, weekly or every two weeks, and judge results across three checks. Track the direct-versus-OTA share as its own number. It is the one a general manager understands without explanation.

How to improve your hotel’s AI visibility

In order of impact:

1. Publish your facts where the assistants can read them. One clean, current page per property, in plain text: what you are, where you are, who you are for, what is included, your policies and how to book direct. If you do not want to rebuild your main website, a subdomain works (here is what one looks like). This is the foundation.
2. Publish the formats the assistants cite. Comparison pages (“[your hotel] vs [competitor]”, “[neighbourhood A] or [neighbourhood B]”), “best of” pages for your niche, and plain answers to the questions guests actually ask. Sales pages rarely get cited. Pages that answer questions do.
3. Open the doors. Allow GPTBot, ClaudeBot, PerplexityBot and Google-Extended in your robots.txt, and check that your CDN is not blocking them separately. Submit your sitemap to Bing Webmaster Tools as well as Google, because ChatGPT’s search draws on Bing.
4. Fix the third-party sources. Find the list articles the assistants cite for your city and get onto them. Find the pages that describe you wrongly and get them corrected. This is the slow part, and the part that compounds.

What does not work: schema markup on its own. Ahrefs tracked 1,885 pages that added structured data, against 4,000 matched pages that did not, and found no meaningful increase in AI citations on any platform. Keep schema for Google’s rich results, but do not expect it to change what ChatGPT says.

What improvement looks like over 90 days

Destination Outpost runs retreats in Bali and Sri Lanka. In June 2026 it was named in none of 34 traveler questions across the major assistants. Eight verified pages went live on a subdomain of its own domain on 1 July.

For three weeks, nothing changed. Then Gemini moved, then ChatGPT, then Claude. By 24 August Outpost was named in 26 of 31 tracked questions. In our latest check it was named in 67% of ChatGPT answers, 74% of Gemini answers and 66% of Claude answers. Some questions still favour competitors, and two third-party sources still carry old details. The full story is on our results page.

That pattern is what to expect: nothing at first, then a step change one assistant at a time, then a long tail of stubborn questions. Plan for three months, not three weeks.

Questions hotels ask

What is AI visibility for a hotel? Whether AI assistants such as ChatGPT, Gemini, Claude and Perplexity name your hotel when travelers ask where to stay, describe it accurately, and link to your own website rather than an OTA.

Is AEO or GEO the same as SEO? No. They overlap, because both depend on clear, crawlable pages. But AI assistants build answers from list articles, OTA pages and review sites, not from Google rankings. A hotel can rank well on Google and still be missing from ChatGPT’s answers.

How do I check whether ChatGPT recommends my hotel? Ask it the questions your guests would ask, for your city and type of hotel, several times and on more than one assistant. Record whether you are named, what it says about you and where the link goes. One check is not enough, because the answers change often.

Why does ChatGPT link to Booking.com instead of my website? Usually because the OTA page states your rates, rooms and policies more clearly than your own site does, or because the list articles it reads link to OTAs. A plain-text page with your facts and your direct booking link gives the assistant a better option.

Does schema markup help my hotel appear in AI answers? Not on its own. In Ahrefs’ test, adding schema did not increase AI citations on any platform. It still helps with Google’s rich results.

How long does it take to see results? In our experience, nothing moves for two to three weeks after new pages go live. Most of the change comes within six to eight weeks, and it takes about three months for answers to settle.

Do it yourself, or have it done

You can do all of this yourself. Steps 1 and 3 take an afternoon if you have a web person. Step 2 is a few days of writing. Step 4 is ongoing outreach. Measurement is the part most hotels never set up, which is why they never find out whether any of it worked.

ExactSite is built for independents who would rather not do the work: we check what the assistants say, publish verified pages on your own subdomain, set up crawler access and keep checking. You confirm the facts and approve the pages. Nothing else is asked of you.

Check your hotel’s AI visibility

Get a free AI visibility check. It shows whether ChatGPT and Gemini name your hotel today, who they name instead, where the links go and which sources they used, so you know which of the four fixes applies to you.