Question
How do I get my hotel recommended by ChatGPT?
Short answer
Make current, specific, structured facts about the property reachable by machines, keep them fresh, and make sure the third-party sources models already trust describe you accurately.
- DMOs producing AI-formatted content64%
Sojern · 2026 · Global
- Pre-trip AI use for destination research38%
Booking.com · April–May 2025 · Global (33 markets)
- Travellers who received outdated or inaccurate AI travel information25%
Amadeus · 2025 · Global
- AI assistants as a trusted travel planning source24%
Booking.com · April–May 2025 · Global (33 markets)
Start from how the failure actually happens. 25% of travellers have received outdated or inaccurate AI travel information. In hospitality that is rarely invention — it is a model answering from stale or missing data, because nothing current and structured was reachable when it looked.
That makes freshness and structure the first-order work, ahead of anything that resembles keyword optimisation. Hours, policies, room types, amenities, location relationships and price positioning need to exist as explicit, machine-readable facts that are updated when they change.
Second, the questions being asked are specific, not generic. Travellers ask about attractions, restaurants and transport (60%), price comparisons (56%) and itineraries (43%). A property described only in brand language will not be matched against 'quiet boutique hotel near the Duomo with a late breakfast'. One described in concrete attributes will.
Third, models ground their answers in sources they already weight. 64% of destination marketers now format content for AI retrieval — lists, FAQs, structured answers. Your own site matters, and so does how the directories, review platforms and destination sites around you describe you.
Fourth, measure it. Being named is not a binary; it varies by prompt, by engine and by week. Without tracking you cannot tell a wording problem from a source problem.
Why credible sources differ
No published study measures citation share by tactic, and anyone claiming a ranking formula for generative engines is extrapolating. The guidance here follows from documented failure modes — staleness, missing structure, generic description — not from a disclosed ranking algorithm.

