GEO for Hotels
How AI engines choose and recommend hotels today.
We run real buyer prompts against ChatGPT, Gemini, Perplexity with web search on, and record which hotels they name and which sources they cite. This page is one live view into that dataset - it updates as new probes land.
What buyers ask AI
Real questions people put to AI assistants about hotels.
What AI actually recommends
Probed from a Spain context · July 18, 2026Live answers per engine - exactly what each one named, in order.
| Prompt | ChatGPT | Gemini | Perplexity |
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| Best boutique hotels |
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| Best family resort |
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| Best business hotel |
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| Best all-inclusive resort |
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| Best budget hotel chain |
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AI ranking factors
Where these engines actually look before naming anyone - citation share by source type.
Shares are computed from the sources engines actually grounded on in our hotel probes - not an editorial guess. Unknown domains land in “other” and get reviewed monthly.
How hotels win AI visibility
What the data above means in practice - and the playbook that follows from it.
Travel is where AI answers are most conversational - people don’t just ask for “a hotel”, they ask for an itinerary, a vibe, a trade-off - and the engines answer by leaning on the review-aggregation giants: TripAdvisor, Booking.com, Google’s hotel layer, Expedia. These platforms hold exactly what a recommendation needs (scores, review volume, price bands, amenity data), so they dominate the citation mix in our probes. For an individual property the consequence is the same as ranking inside those platforms, with a twist: engines read review text, not just scores, and they quote the recurring themes - “consistently praised for its breakfast and rooftop bar” is assembled from dozens of guest reviews.
Editorial travel media is the second pillar, and it behaves differently from directories. “Best boutique hotels” prompts pull heavily from Condé Nast Traveler, Travel + Leisure and destination guides, because engines treat curated lists as pre-verified shortlists. Placement in one credible editorial list often outweighs hundreds of additional reviews for the aspirational prompt shapes (boutique, romantic, design). This makes travel PR a measurable GEO lever: one earned inclusion propagates into AI answers for the whole list’s theme, and stays there as long as the article stays live.
Excel inside the platform layer
TripAdvisor, Booking, Google hotel profiles complete, photo-rich and actively earning reviews - engines quote themes from review text, so what guests repeat becomes your pitch.
Earn editorial placements
Pitch credible travel media for themed lists (boutique, family, design). One earned inclusion feeds AI answers for that theme durably.
Make amenities machine-readable
Consistent, structured amenity data everywhere - pet policy, kids club, shuttle, workspaces. Qualifier prompts filter on exactly these fields.
Publish destination content
Neighborhood guides and “where to stay” content put your property inside itinerary-shaped answers - the rare platform-free channel.
Respond to reviews visibly
Management responses signal an operated, current property; engines factor recency and responsiveness into “is this still good” judgments.
Track your theme prompts
Run the traveler prompts monthly for your market, watch which platforms and articles get cited, and target the exact lists you’re missing from.
FAQ
Answers to common questions about this report.
How do I do SEO for a hotel in the AI era?
What is the best AI strategy for the hotel industry?
Which sources do AI engines cite for hotels?
Why don’t the prompts include a city?
How can my hotel get started?
See where your property appears across all AI engines.
The data above is the industry view. Run a free scan to get the same report for your property: where you show up, who outranks you, and what to fix first.
