Publish live rates and amenities
Structured data for rooms, rates, dates and facilities on your own site. Without it, the price prompt goes to an OTA and takes your margin with it.
Optimise Content →Solutions · By industry
Travellers now ask AI to build the itinerary, and the answer names specific hotels, tours and neighbourhoods. Prefer tracks every travel prompt in your market, shows which guides and reviews decide them, and helps you win the recommendation before an OTA takes the commission.
The new front door. One prompt produces a full plan, and every named hotel and tour is a booking decided in advance.
The trip math
How AI engines answer travel questions, across 340 tracked travel and hospitality domains.
The booking shortlist is set before any search happens.
Booking.com and Time Out carry the recommendation.
No live rate data means the OTA wins the price prompt.
Except seasonal prompts, which are decided months ahead.
Prefer benchmark · 340 travel and hospitality domains · 6 engines · Q2 2026.
The itinerary · 01
Travellers used to browse for weeks. Now one prompt returns a day-by-day plan with named hotels, restaurants and tours. If your property is not in that plan, you never enter consideration, and the OTA takes the booking you would have had direct.
ChatGPT, answered this morning.
Base yourself in Alfama or Príncipe Real for easy access to the centre. Memmo Alfama has family rooms and a rooftop pool, around €220 a night in May. Day one: Castelo de São Jorge and tram 28. Day two: Oceanário, the best rainy-day option with young children.
Who decides · 02
Travel citations concentrate in review platforms, city guides and OTAs. Hotel websites are cited mostly to confirm rates and amenities, after the recommendation is made.
One tracked category, 270 prompts, last 30 days.
Domains cited across 270 tracked travel prompts, last 30 days. Guides decide the recommendation; OTAs supply the price.
The prompt map · 03
Two are unique to travel: practical questions and seasonal timing. Both are won months before the trip, and both are usually ignored.
Status of the best prompt in each family.
Live from the Solvara demo workspace. Seasonal prompts are tracked year-round, because autumn answers are written in spring.
The playbook · 04
Each play maps to the Prefer tool that runs it, so this is a queue, not a PDF.
Structured data for rooms, rates, dates and facilities on your own site. Without it, the price prompt goes to an OTA and takes your margin with it.
Optimise Content →Time Out, Cond é Nast and local guides out-cite hotel sites nearly five to one. Prefer finds the guides you are missing and briefs the pitch.
Action Center →Walkability, transfers, accessibility, what to do in the rain. These build the trust that gets your property named alongside the answer.
Create Content →One repeated complaint, noise, breakfast, check-in, becomes the caveat on your property in every answer. Prefer traces it and tracks the repair.
Answer Engine Insights →A genuinely useful area guide is the cheapest way into itinerary answers, and it is a page no OTA will write for you.
Create Content →Autumn answers are formed in spring, when AI crawls the seasonal guides. Prefer tracks the calendar so pitches land two quarters ahead.
Competition →Direct vs OTA · 05
Independent properties fight to be named at all. Groups and OTAs fight over which listing AI picks. Prefer ships a prompt set for each.
You want the recommendation to end on your site, not an OTA's. Where you are exposed:
Exposure: your own Booking.com listing outranks your website in AI answers.
Scale, inventory and coverage across markets. Where you are exposed:
Exposure: a guide names a competitor's property in the itinerary you should own.
Proof · 06
“We were paying commission on guests who asked ChatGPT for a Lisbon itinerary. We published a proper neighbourhood guide, put our rates in structured data, and started appearing in the plan itself rather than in a listing.”
Questions
By being in the sources AI reads: review platforms, city guides and OTA listings, plus their own pages when those carry structured rate and amenity data. AI names specific properties in itinerary answers, so a hotel absent from the guides is absent from the trip.
Answer engine optimization for travel means winning a place in AI-planned itineraries and destination answers rather than a rank in search results. It combines guide and review placement, structured rate data, and practical content that answers what travellers actually ask.
Six families: itinerary, destination, price, practical questions, reviews and seasonal. Practical and seasonal prompts are unique to travel, and both are decided long before the trip is booked.
Publish live rates and availability as structured data on your own site. In Prefer's benchmark, 61% of hotels have no rates AI can read, so the price prompt defaults to the OTA that does, and the commission follows.
Review platforms first, then city and travel guides, then OTAs. In Prefer's Q2 2026 benchmark of 340 travel domains, review platforms took 26% of citations, guides 24%, OTAs 19%, and hotels' own pages 7%.
Two quarters ahead. Autumn and winter answers are largely formed in spring, when AI crawls the seasonal guides being published. Prefer tracks seasonal prompts year-round so pitches land before the answer sets.
Yes. AI summarises your review corpus, so a recurring theme like noise, breakfast or check-in becomes a caveat attached to your property in every answer. Prefer traces the theme to its source so it can be fixed.
Two to six weeks for most prompts, because review and guide sources are crawled often. Seasonal prompts are the exception and need months of lead time.
See how answer engines describe your brand today, and where the openings are to outpace the competition.