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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.

Start from how the failure actually happens. 25% of travellers have received outdated or inaccurate AI travel information.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.