AI visibility for hotels and travel

For twenty years the travel funnel had known checkpoints: a Google search, a metasearch comparison, an OTA listing page, twenty open tabs of reviews, and finally a booking. Generative AI compresses most of that into one conversation. A traveler types a single prompt like a five day Lisbon itinerary for a couple who like food and walking, and the assistant returns the itinerary, the neighborhoods, and specific hotel names, often with a price band and a one line justification for each. Phocuswright, the travel industry's benchmark research firm, titled its 2025 consumer study Search Slips, AI Surges, and the headline number explains why: nearly 40 percent of US travelers used generative AI tools to plan trips in 2025, an 11 point jump in a single year. That is the fastest adoption curve Phocuswright has measured for any planning behavior.

The people making that shift are the guests you want most. Phocuswright's data shows AI-using travelers skew younger, wealthier and more frequent, and they spend significantly more per trip than travelers who plan without AI. They are also increasingly willing to transact where they plan: 44 percent of travelers say they would book directly inside an AI platform, and 40 percent would let an AI assistant handle flights and hotels on their behalf. Agentic booking is arriving unevenly, but the consideration step has already moved. When the assistant composes its answer, it names three to six properties or operators. If your brand is one of them, you enter the traveler's world with a recommendation attached. If it never appears, you lost a guest who will never show up in any analytics report you own.

The uncomfortable part of AI-driven planning is its invisibility from the supplier side. When your property slides down an OTA ranking, you can see it and you can respond with rate moves or sponsored placement. When ChatGPT recommends three competitor hotels for the exact guest profile you built your product around, nothing registers anywhere. Occupancy softens, direct traffic flattens, and every dashboard you own says demand is down. The demand is fine. It is being routed elsewhere at a step you have never measured. This is why the discipline is called AI visibility: the first job is simply seeing the answers, because no existing tool in the hotel stack, from the channel manager to the rate shopper, looks at them.

There is also a margin story here that hoteliers should like. OTA commissions of 15 to 25 percent exist because OTAs owned discovery. An AI answer that names your property is a discovery event that costs you no commission, and Phocuswright found price comparisons and summarized reviews drive the most action on AI recommendations, at 44 and 33 percent respectively, with brand recognition close behind at 32 percent. A traveler who meets your brand inside an AI answer and then books direct is the cheapest high intent guest you can acquire in 2026. The brands investing in AI visibility now are effectively buying back a piece of the discovery layer that was sold to OTAs a decade ago.

The same logic applies across the industry. Tour operators, DMCs, travel agencies, vacation rental managers and cruise lines all sell considered purchases that start with an unbranded question. A safari operator in Kenya, a walking tour company in Rome and a ski chalet agency in Chamonix are each one AI answer away from a booking or from silence. The category leaders inside those answers today are often not the biggest brands but the most cited ones, which means the game is still open.

AI answers are probabilistic, and travel brands need to internalize that before measuring anything. SparkToro tested repeated identical prompts in ChatGPT and found under a 1 percent chance that two runs return the same list of brands. Ask for the best boutique hotels in Charleston five times and you will get overlapping but different sets, with one or two stable names and a rotating supporting cast. The stable names are the brands with the strongest citation footprint. Your goal is to become one of them, and the only honest way to know your status is repeated runs with the raw answers stored, then a trend line over weeks. A single screenshot of one good answer is a souvenir, and a single bad answer is equally meaningless.

Answers also differ by engine and by question framing. ChatGPT with web search leans on the pages it retrieves at answer time, so fresh, crawlable, answer-shaped content moves it fastest. Gemini draws on Google's index and its local data. Perplexity cites aggressively and rewards pages with clear sourcing. And unbranded questions behave differently from branded ones: best riads in Marrakech for families tests your visibility, while is Riad X good tests your reputation. Both matter, but the unbranded question is where new demand is won, so it should anchor your tracked set. Whatever you use to measure, it should query ChatGPT through the official API with web search enabled, since that matches how real travelers use it, and extend the same question set across the other engines as they matter to your market.

When an engine answers a travel question, it retrieves and synthesizes from a familiar set of sources: best-of roundups on travel blogs and media sites, forum threads on Reddit and TripAdvisor, review summaries, destination guides, and for larger brands, Wikipedia and knowledge graph data. 5W Research found Wikipedia and Reddit together account for more than a quarter of ChatGPT citations overall, and travel skews even harder toward community sources because travelers write obsessively detailed trip reports. A property that has never been mentioned in a where should I stay in Mexico City thread is fighting uphill against one that appears in twelve of them.

This means a large share of your AI visibility lives on domains you do not own, and that is actionable rather than depressing. Every losing question comes with a citation list: the specific roundups, threads and guides the engine leaned on. Getting added to an existing best hotels in your city article that engines already cite is worth more than most paid placements, because it works across every engine that reads it and it compounds. Your owned surface matters too: property pages with real specifics such as distances, room counts, renovation dates and verifiable review scores give engines quotable facts, and the Princeton-led GEO study found that adding statistics, quotations and cited sources lifted visibility in generative answers by up to roughly 40 percent. Vague brand copy about unforgettable experiences gives an engine nothing to work with.

Start with a question inventory that mirrors how your guests actually plan. For a hotel that means combinations of destination, trip type, audience and constraint: best hotels in your neighborhood for business travelers, where to stay in your city with kids, hotels near the convention center with parking, romantic hotels under a price point. For operators it means route and activity questions: best small group tour of Portugal, reputable dive operators in Cozumel. Twenty five well chosen questions cover a surprising share of real demand for a single property, and 75 covers a multi-property group or a destination brand.

Then measure like an analyst instead of a fan. Run every question on a schedule, store the full answers, and count a mention only when your brand name appears in the text. That last rule sounds obvious and is routinely violated by tools that infer visibility from sentiment or similarity scores. Reachroller's methodology is deliberately strict on this point because hotel marketing decisions ride on the number: a mention counts only when the name is literally in the answer, every scored answer is kept as evidence you can read, and branded questions are excluded from the headline score so you cannot flatter yourself. The three day trial includes 50 credits with no card, which is enough to baseline a property across its core question set before you spend anything, and the free three question checker on the homepage takes about a minute if you just want the first look.

The pages that win travel answers share a shape: they resolve one question in the first paragraph, then support the answer with specifics an engine can quote. A neighborhood guide that opens with a direct verdict on where to stay and why, then gives walking distances, transit lines, average nightly rates by season and named restaurants, is citation bait in the best sense. So are honest comparison pages, such as your property versus the obvious alternative for a specific guest type, and FAQ pages that answer the questions travelers actually type: is the hotel walkable to the old town, does the resort suit toddlers, what does the transfer cost. Every claim should carry a number or a source, because engines select for verifiability.

Distribution finishes the job. Structured data, including Hotel schema, LocalBusiness schema and FAQ markup, helps engines parse what you are and where. A complete, consistent Google Business Profile feeds Gemini directly. Recent, responded-to reviews feed the summarized review snippets that Phocuswright found drive a third of AI recommendation actions. And for the questions you keep losing, generate or write a fix page grounded in what the winning answers cited, publish it on your own domain, then recheck the question over the following weeks to see whether the answer flipped. That recheck discipline matters more than any single page, because the only proof of AI visibility work is a changed answer.