Industry playbook
Generative Engine Optimization for Travel
Travelers now ask AI engines to plan entire trips. ChatGPT and Gemini compose itineraries that quote specific hotels, tours and airlines — being inside that itinerary is the new prime real estate.
Top AI queries in Travel
- "5-day itinerary for [destination]"
- "best hotels in [city] under [price]"
- "things to do in [destination]"
- "[city] vs [city] for [travel persona]"
- "best tours in [destination]"
Primary AI engines for Travel
ChatGPT
Gemini
AI Overviews
Perplexity
Industry-specific challenges
- !Inventory and pricing change daily — stale data demotes citations
- !Local content (neighborhood guides) outranks brand pages
- !TripAdvisor, Booking and Reddit dominate citation share
Winning tactics
- 1Add LodgingBusiness, TouristAttraction and TravelAction schema
- 2Publish detailed neighborhood and itinerary guides
- 3Maintain seasonal updates (best time to visit, current weather)
- 4Earn citations from travel subreddits and r/solotravel
- 5Provide structured pricing and availability via schema
FAQ — Travel GEO
Should hotels invest in GEO when OTAs dominate?
Yes — direct-booking queries ('best hotel in [neighborhood]') increasingly favor branded answers. PRESENSS lets hotels measure direct vs OTA share-of-voice across AI engines.