Who this is for:This playbook targets a hotel or hotel group's marketing team. Branded properties and hotel groups with a marketing team fit Prefer's done-for-you Managed service and the travel and hospitality solution below. An independent single-property hotel is closer to a local business (price-sensitive, one profile) and is often better served running these plays in-house with the free checker and the local-businesses playbook.
Why AI search decides hotels and hospitality outcomes
56%
of US leisure travelers used AI to plan a trip this year
Phocuswright's 'The AI Surge' (2026) found 56% of US leisure travelers used AI for at least one trip in the past 12 months, up from 43% nine months earlier and below 25% in 2024. Searching for flights and hotels is one of the named use cases (about 31% per Phocuswright's reported summary).
20.1%
Tripadvisor is the top hotel source ChatGPT cites
Our 2026-09-05 LLM-Mentions pull for 'best boutique hotels' on ChatGPT put Tripadvisor first at 20.1% of citations, just ahead of Reddit at 16.1%, then Booking.com and Expedia. Our own one-day measurement, directional.
40%
of AI citations go to independent listicles
Across our four-engine study of 1,237 citations, independent listicles took 40% of citations and vendors' own sites 34%. In lodging those listicles are the editorial 'best hotels in [city]' roundups.
5 of 713
cited domains shared by all four engines
Only 5 of 713 cited domains were shared across ChatGPT, Perplexity, Gemini and Claude in our study, so a single-engine view misses the others. You win each engine's hotel sources separately.
The buyer prompts that decide hotels and hospitality
| Prompt family | An example buyer asks | What wins the citation |
|---|---|---|
| Category and placeGuest wants a shortlist for a city | best boutique hotels in [city] | A complete Tripadvisor record plus a spot in the editorial 'best hotels in [city]' lists AI cites |
| Fit and occasionGuest has a specific need | best family hotel in [city] | State the specialty (family, romantic, business) explicitly on the profile, the OTAs and your reviews |
| Where to stayGuest is choosing a neighborhood and a hotel | where should I stay in [destination] | A neighborhood-plus-property page on your site, plus travel-media and Reddit presence for the area |
| ComparisonGuest is choosing between two | [hotel A] vs [hotel B] | Consistent facts and strong, recent guest reviews on both properties |
| ReputationGuest is checking before booking | is [hotel] worth it or any good | Guest-review sentiment on Tripadvisor and the OTAs, plus honest Reddit discussion |
Example prompts are illustrative of each family; run your own category, rivals and personas to build the real set.
Which engines matter for hotels and hospitality, and why
- Primary
Google AI OverviewsLodging is local and visual, and Google's AI rides Maps, hotel packs, Tripadvisor and YouTube. Tripadvisor and YouTube dominate the Google side of hotel answers. - Primary
ChatGPTLeans on Tripadvisor, the OTAs, hotel media and Reddit. It answers well-known properties from memory and reaches for those sources live, so both your record and your reputation matter. - Secondary
GeminiShares Google's Maps and hotel data, so the profile, listing and review work you do for Google carries over here with little extra effort. - Secondary
PerplexityCites its sources inline and rewards OTA and review links a guest can click to verify, so a complete, well-reviewed listing pays off directly.
Who AI reads for hotels and hospitality answers
- tripadvisor.comReview site20.1%Reviews, ranked 'best hotels' lists and traveler forums. The single biggest hotel-discovery source, and it carries structured property details straight into answers.
reddit.comCommunity16.1%r/travel and city subreddits where guests trade real stay recommendations. The second-biggest hotel source ChatGPT reaches for.
en.wikipedia.orgReference9%Property and brand entities. AI grounds what a hotel or group is before recommending around it.- booking.comBooking platform8.6%Structured property data, ratings and availability cited for options. Keep your rooms, amenities and prices complete and current.
- expedia.comBooking platform7.9%OTA listings and guest scores (with Hotels.com at 3.3%). The scores and details here are lifted into comparison answers.
- cntraveler.comHotel media6.2%Conde Nast Traveler, plus Forbes and Time Out on luxury queries. The editorial hotel roundups AI cites for 'best boutique/luxury hotels'.
- oyster.comReview/Listicle3.7%Oyster and The Hotel Guru (3.1%) are hotel-specialist review and comparison sites AI pulls for detailed property comparisons.
youtube.comVideoRanks #1 to #2 on Google's AI surfaces for hotels (rank-only; Google per-domain counts do not sum to a share). Property tours and reviews are a dominant Google source.- your hotel or brand siteOwnedProperty, room and neighborhood pages with Hotel and LocalBusiness schema, real photos and clear amenities. Cited when it is complete, but one voice among many.
These source patterns trace to our four-engine AI Citation Study; re-check them as the category moves.
hotels and hospitality-specific moves
- Own your Tripadvisor property recordIt is the #1 hotel source ChatGPT cites. Complete the profile, keep amenities, room types and photos accurate, reply to every review, and work toward a ranked placement in your category and city, because that ranking is what AI lifts.
- Fix your OTA listings and guest scoresBooking, Expedia and Hotels.com carry structured property data and ratings into answers. Keep rooms, amenities, prices and policies complete and identical across every OTA, because disagreement gives a model a reason to name a cleaner competitor.
- Earn the editorial hotel roundupsConde Nast Traveler, Forbes and Time Out 'best boutique/luxury hotels in [city]' lists are what AI quotes for category-and-place prompts. Pitch the editors with a specific, checkable reason your property belongs.
- State your specialty and neighborhood everywhereFamily, romantic, boutique, business, and which neighborhood you sit in: say it plainly on the profile, the OTAs, your reviews and your own site, so fit-and-occasion and where-to-stay prompts have a clear reason to name you.
When a traveler asks AI where to stay, the answer names a few hotels and gives a reason for each, and it is reasoning from Tripadvisor, the OTAs, hotel-focused travel media, and Reddit, not from the hotel’s own site. Prefer (our product) tracks those answers on ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode, and shows which review, OTA and media pages each engine cites for your property. The sections above show where you stand: the where-to-stay prompts your guests actually ask, which engines answer them, and who AI reads to decide which properties to name. One idea runs through every play below: AI recommends the property whose record is complete, well-reviewed, and consistent across the sources it trusts, not the one with the prettiest website. The plays follow, in the order a hotel starting from low visibility should run them.
The plays that win hotel recommendations#
Perfect your Tripadvisor property record
Complete your Tripadvisor profile, keep it accurate, and work toward a ranked placement, because it is the single biggest hotel-discovery source AI cites.
Tripadvisor was the top hotel source in our pull at 20.1% of ChatGPT citations, ahead of Reddit and the OTAs, because it carries reviews, ranked 'best hotels' lists and structured property details engines lift directly. A thin or poorly-reviewed profile is a worse version of your hotel for the model to quote, so it names a competitor whose record is stronger. (Prefer hotel citation study, checked 2026-09-05)
- Claim and complete the profile: every amenity, room type, real photos, and accurate policies.
- Run a steady, honest review engine and reply to every review, because sentiment and recency are part of what AI reads.
- Fix the recurring complaint at its source so the theme fades from your recent reviews.
- Work your ranked placement in your category and city, because that ranking is what AI lifts into 'best hotels in [city]' answers.
Done when: Your profile is complete and accurate, you gather recent reviews on a cadence, and your ranking is climbing in your category and city.
Verify it worked: Ask 'best [category] hotels in [city]' in ChatGPT and check whether the Tripadvisor listing it cites about you is complete and accurate.
Common failure mode: A half-finished or unanswered-review profile. Engines read it literally, so a thin record keeps you out of the lodging answers you should win.
Fix your OTA listings and guest scores
Keep your rooms, amenities, prices and guest scores complete and consistent across Booking, Expedia and Hotels.com, because those carry structured property data into hotel answers.
The OTAs were cited heavily in our pull (Booking 8.6%, Expedia 7.9%), because their structured property data and guest scores are what AI pulls for options and comparison prompts. When your rooms, amenities or prices disagree across OTAs, or your guest score is weak, the model has a reason to hedge or name a cleaner competitor. (Prefer hotel citation study, checked 2026-09-05)
- Complete every OTA listing: room types, amenities, photos, policies and accurate prices.
- Make the same facts match across Booking, Expedia and Hotels.com and your own site.
- Work your guest score with a real service-and-review loop, because the number is lifted into comparisons.
- Keep availability and prices current, because a stale rate loses a booking-intent answer.
Done when: Your listings are complete, priced correctly, and identical across every OTA and your own site.
Verify it worked: Ask '[hotel A] vs [your hotel]' or 'best value hotel in [city]' and check whether the OTA data AI cites about you is accurate.
Common failure mode: Conflicting room lists or prices across OTAs. One contradicting listing is enough to make a model hedge or pick a competitor with cleaner data.
Publish property and neighborhood pages with Hotel schema
Put clear property, room and neighborhood pages on your own site with schema, so you can win 'where should I stay in [city]' and fit-and-occasion prompts.
Where-to-stay prompts are answered by whatever source can describe both the neighborhood and a specific property, and your own site is the one source you fully control. A property page that leads with a self-contained answer (who it suits, which neighborhood, the key amenities) and carries Hotel and LocalBusiness schema gives AI something to cite, while a gallery and a booking widget give it nothing to quote.
- Give each property its own page with a self-contained summary: who it suits, the neighborhood, the standout amenities.
- Add a short neighborhood guide so you can be cited for 'where should I stay in [city]', not just 'best hotel'.
- Add Hotel and LocalBusiness schema with your exact name, address, amenities and geo, and keep it identical to your listings.
- State your specialty (family, romantic, boutique, business) in plain words a model can lift.
Done when: Every property has its own page with a liftable summary, a neighborhood guide, and valid Hotel schema.
Verify it worked: Ask 'where should I stay in [city] for [occasion]' and check whether your property or neighborhood page is cited.
Common failure mode: One generic 'rooms and rates' page. A model cannot lift a specific where-to-stay answer it cannot find, so it quotes a travel-media guide instead.
Earn the editorial hotel roundups
Get accurately included in the 'best boutique/luxury hotels in [city]' lists on Conde Nast Traveler, Forbes and Time Out, because those roundups win answers your own site cannot.
Independent listicles took 40% of citations in our four-engine study, and for hotels those listicles are the editorial roundups (Conde Nast Traveler carried 6.2% of hotel citations in our pull, with Forbes and Time Out on luxury queries). A place in one puts you into 'best hotels in [city]' answers your homepage cannot reach. (Prefer AI Citation Study, checked 2026-07-10)
- Run your category-and-place prompts and note which editorial roundups get cited for your city and category.
- Pitch the editors behind those lists with a specific, checkable reason your property belongs (a real distinction, not a rate).
- Where a roundup lists you wrong or omits you, offer the correction and the reason to add you.
- Keep the facts you give the media identical to your profile and listings, so the citation reinforces the same property.
Done when: You are accurately included in the top roundups AI cites for your city and category.
Verify it worked: Ask 'best [category] hotels in [city]' in ChatGPT and Perplexity and check whether the roundups they cite now include you.
Common failure mode: A generic pitch about your amenities. A roundup only helps if it states a real, checkable reason a guest should pick you.
Take part honestly in the travel and city threads
Be genuinely useful in the travel and city subreddits where guests ask where to stay, because Reddit is the second-biggest hotel source ChatGPT reaches for.
Reddit was the #2 hotel source in our pull at 16.1% of ChatGPT citations, because that is where travelers trade honest stay recommendations, and engines quote them. A property people vouch for in r/travel or a city sub gives AI a corroborating reason to name it that no listing can supply on its own. (Prefer Reddit study, checked 2026-08-19)
- Find the travel and city subreddits where 'where to stay in [city]' comes up for your area.
- Be useful first: answer questions about the neighborhood and the trip honestly, and disclose who you are when you mention your property.
- Where a thread asks for exactly the stay you offer, contribute a genuine recommendation with the detail a guest needs.
- Never plant or buy recommendations; a thread that reads as astroturf is removed and remembered.
Done when: You are a real, useful presence in the city and travel threads AI cites for your area, with honest mentions of your property.
Verify it worked: Ask 'where should I stay in [city]' and 'is [your hotel] worth it' in ChatGPT and check whether the threads cited include genuine mentions of you.
Common failure mode: Astroturfing. Planted praise is spotted and removed, and a guest who books on a fake recommendation leaves the review that undoes it.
How this fits your hotel marketing#
None of this replaces hotel SEO or a good direct-booking strategy. The same complete profile, accurate listings and strong reviews that win the hotel pack also feed AI answers, so a property with solid marketing has a head start. The difference is what wins the citation: AI corroborates your property across Tripadvisor, the OTAs, hotel media and Reddit, and it rewards consistency and recent reviews over website copy. Because a where-to-stay answer rarely had a rank to begin with, judge this work by whether it names your property, not by position.
Start with what AEO is for the full method behind these plays, or browse every AEO-by-business-model playbook to compare your model with the others. If you sell the whole trip and not only the room, the AEO for a travel brand playbook covers the itinerary and booking answers that sit alongside these lodging ones.
A worked example
A single flagship property gets named in 'best luxury hotels' answers through Tripadvisor rankings, strong OTA guest scores, and travel-media roundups, which is where AI finds the reason to name it (our pull surfaced it inside a luxury-hotels answer).
A hotel group surfaces in 'best hotel in [city]' answers when each property has a complete Tripadvisor and OTA record, strong guest reviews, and a presence in the editorial hotel lists, kept consistent across the whole portfolio.
Named brands are public, illustrative examples of the category, not customers or endorsements.
Sources
People also ask
- How do hotels show up in AI search results?
- How do I get my hotel recommended by ChatGPT?
- Which sources do AI assistants use to recommend a hotel?
- Does Tripadvisor affect AI hotel recommendations?
- How is AEO different from hotel SEO?