AI Hotel Landscape
How leading AI assistants recommend hotels — 616 prompts across 56 destinations, refreshed every Monday.
+ 44 more
The 616 prompts we ask ChatGPT every week
56 destinations × 11 templates. Each prompt has structured dimensions: city, country, region, persona (couples / families / solo / business), budget (luxury / mid / budget), and location zoom (wide city vs neighborhood vs landmark). Control prompts are unmodified baselines.
Every destination below gets the same 11 question types — just with the city name swapped in. That's how 56 destinations × 11 templates = 616 prompts per platform per week.
- luxury hotels in <city>
- family friendly hotels in <city>
- hotels in <city> with rooftop pool
- hotels near <neighborhood>, <city>
- boutique hotels in <neighborhood>, <city>
- best hotels in <city> for solo travelers
- best hotels in <city>
- affordable hotels in <city> under $200
- best hotels in <city> for couples
- best hotels in <city> for business travelers
- best hotels in <neighborhood>, <city>
- hotels near <city> National Park
africa4 destinations · 44 prompts
americas14 destinations · 154 prompts
Each destination is asked the 11 prompt patterns above (11 prompts × 14 cities = 154 prompts in this region).
asia16 destinations · 176 prompts
europe17 destinations · 187 prompts
oceania5 destinations · 55 prompts
Each destination is asked the 11 prompt patterns above (11 prompts × 5 cities = 55 prompts in this region).
Named hotels of the week — ChatGPT
Hotels ChatGPT talked about most this week, with week-over-week movement. Filtered to ChatGPT only — switch tabs to compare across models.
Most-mentioned hotel by ChatGPT this week.
| # | Hotel | City | Chain | Mentions | W/W |
|---|---|---|---|---|---|
| 1 | The Fullerton Bay Hotel Singapore | 80 Collyer Quay | — | 12 | ↑ 12 |
| 2 | HOTEL HOTEL | Lisbon | — | 10 | ↑ 10 |
| 3 | Cairo Marriott Hotel | Zamalek | Marriott | 9 | ↑ 9 |
| 4 | Four Seasons Hotel Hong Kong | Central | Four Seasons | 9 | ↑ 9 |
| 11 | The Langham Gold Coast | Surfers Paradise | Langham | 8 | ↑ 8 |
| 13 | The Windsor Court | New Orleans | — | 8 | ↑ 8 |
| 12 | The Trade Boutique Hotel | Cape Town | — | 8 | ↑ 8 |
| 9 | Park Hyatt Auckland | Auckland | Hyatt | 8 | ↑ 8 |
| 6 | Hotel Vienna | Vienna | — | 8 | ↑ 8 |
| 7 | Hyatt Regency Cape Town | Cape Town | Hyatt | 8 | ↑ 8 |
| 10 | Park Hyatt Sydney | The Rocks | Hyatt | 8 | ↑ 8 |
| 8 | JW Marriott Gold Coast Resort & Spa | Surfers Paradise | Marriott | 8 | ↑ 8 |
| 5 | Grand Hotel Zermatterhof | Zermatt | — | 8 | ↑ 8 |
| 20 | Hotel Brunelleschi | Florence | — | 7 | ↑ 7 |
| 21 | Hotel de Rome | Berlin | Rocco Forte | 7 | ↑ 7 |
| 18 | Four Seasons Hotel Istanbul At The Bosphorus | Beşiktaş | Four Seasons | 7 | ↑ 7 |
| 29 | The Peninsula Beijing | Dongcheng | Peninsula | 7 | ↑ 7 |
| 15 | Cordis, Auckland | Auckland | — | 7 | ↑ 7 |
| 14 | Alvear Palace Hotel | Buenos Aires | — | 7 | ↑ 7 |
| 26 | Mandarin Oriental, Doha | Doha | Mandarin Oriental | 7 | ↑ 7 |
When ChatGPT hands out a hotel link, where does it go?
Every URL the AI returned for a named hotel, classified into direct (the hotel's own site), OTA (Booking / Expedia / …), chain page (marriott.com / hilton.com / …), or other. Chain folds into direct in the headline number because chain pages are still brand-controlled.
Sponsored placements
OpenAI is rolling out paid sponsor placements in the US, Australia, New Zealand, and Canada — testing may expand. We detect real single-advertiser ad units (organic shopping cards excluded) and pull the brand.
| # | Advertiser | Captures |
|---|---|---|
| 1 | Booking.com | 302 |
| 2 | Expedia | 132 |
| 3 | Radisson Hotels | 14 |
| 4 | Luxury Escapes | 14 |
| 5 | Viator | 11 |
| 6 | Mandarin Oriental Hotel Group | 5 |
| 7 | Le Blanc Cancun | 4 |
| 8 | Hilton | 3 |
| 9 | Apple Vacation | 2 |
| 10 | Guest Reservations | 2 |
Where ChatGPT pulls hotel information from
Every URL ChatGPT retrieved classified into 12 buckets: OTAs, editorial, chain sites, direct hotel pages, social, meta-search, AI tools, community, government, directory consortia, and other.
Review Site tripadvisor.com 68% · oyster.com 18% · tripadvisor.ca 14% | 23.8% | 1,443 |
Editorial thehotelguru.com 38% · cntraveler.com 32% · timeout.com 31% | 19.2% | 1,163 |
Other destination.com 43% · traveltipswithlove.com 32% · blog.hotelslash.com 25% | 16.7% | 1,014 |
OTA & Aggregator booking.com 58% · expedia.com 25% · hotels.com 17% | 11.7% | 711 |
Community hotelierschoice.com 57% · budgetyourtrip.com 25% · therooftopguide.com 18% | 6.4% | 388 |
Independent Hotel ritzcopacabana.com.br 42% · roseatehotels.com 29% · themorgan.com 29% | 4.8% | 289 |
Meta-search kayak.com 43% · hotelscombined.com 42% · momondo.com 15% | 4.4% | 266 |
Chain marriott.com 41% · all.accor.com 31% · fourseasons.com 29% | 4.1% | 249 |
Government / DMO newzealand.com 36% · neworleans.com 33% · esmadrid.com 31% | 3.8% | 233 |
Social Channel reddit.com 100% · youtube.com 0% | 3.8% | 232 |
Hotel Directory hotelsforkings.com 59% · hotelsdubaiuae.com 22% · letsbookhotel.com 19% | 0.7% | 45 |
AI Tool staygenie.app 100% | 0.4% | 25 |
The domains ChatGPT pulls most — and how many it keeps
Individual domains ranked by URLs retrieved, with the category and the share that survive into the answer (throughput = cited ÷ retrieved). Worldwide, current week.
| Domain | Category | Retrieved | Cited | Throughput |
|---|---|---|---|---|
| tripadvisor.com | Review Site | 734 | 138 | 19% |
| booking.com | OTA & Aggregator | 308 | 51 | 17% |
| reddit.com | Social Channel | 231 | 117 | 51% |
| oyster.com | Review Site | 193 | 48 | 25% |
| thehotelguru.com | Editorial | 175 | 43 | 25% |
| cntraveler.com | Editorial | 147 | 47 | 32% |
| tripadvisor.ca | Review Site | 146 | 10 | 7% |
| timeout.com | Editorial | 144 | 47 | 33% |
| hotelierschoice.com | Community | 134 | 23 | 17% |
| expedia.com | OTA & Aggregator | 131 | 12 | 9% |
| tripadvisor.co.uk | Review Site | 119 | 3 | 3% |
| kayak.com | Meta-search | 95 | 26 | 27% |
| hotelscombined.com | Meta-search | 93 | 16 | 17% |
| hotels.com | OTA & Aggregator | 88 | 4 | 5% |
| guide.michelin.com | Editorial | 84 | 32 | 38% |
Top hotel parent groups by ChatGPT mentions
Each ChatGPT mention matched against Google Places, then rolled up to parent group (Marriott = Ritz-Carlton + Westin + Sheraton + EDITION + …, etc.). WoW delta vs last week. Detection via 175+ brand-domain rules.
| 1 | Capella | 7 → 15 | +114% |
| 2 | Langham | 23 → 33 | +43% |
| 3 | Mandarin Oriental | 50 → 56 | +12% |
| 4 | Radisson | 27 → 30 | +11% |
| 5 | Peninsula | 24 → 26 | +8% |
| 1 | 1 Hotels | 15 → 9 | -40% |
| 2 | Meliá | 29 → 22 | -24% |
| 3 | Taj | 32 → 26 | -19% |
| 4 | Lungarno | 13 → 11 | -15% |
| 5 | Wyndham | 20 → 17 | -15% |
| # | Brand | Mentions | Hotels | W/W | |
|---|---|---|---|---|---|
| 1 | Marriott | 347 | 189 | ↑ 0.6% | |
| 2 | Accor | 187 | 111 | ↑ 4.5% | |
| 3 | Hilton | 139 | 82 | ↓ 7.3% | |
| 4 | Hyatt | 128 | 72 | ↓ 2.3% | |
| 5 | IHG | 113 | 82 | ↓ 1.7% | |
| 6 | Four Seasons | 102 | 34 | ↓ 8.1% | |
| 7 | Mandarin Oriental | 56 | 21 | ↑ 12.0% | |
| 8 | Shangri-La | 40 | 16 | ↑ 5.3% | |
| 9 | Minor | 35 | 23 | ↓ 7.9% | |
| 10 | Langham | 33 | 9 | ↑ 43.5% | |
| 11 | Radisson | 30 | 22 | ↑ 11.1% | |
| 12 | Taj | 26 | 9 | ↓ 18.8% | |
| 13 | Kempinski | 26 | 14 | ↑ 8.3% | |
| 14 | Peninsula | 26 | 9 | ↑ 8.3% | |
| 15 | Meliá | 22 | 17 | ↓ 24.1% | |
| 16 | Rosewood | 18 | 8 | · 0% | |
| 17 | Wyndham | 17 | 14 | ↓ 15.0% | |
| 18 | Capella | 15 | 5 | ↑ 114.3% | |
| 19 | Oberoi | 14 | 5 | ↑ 7.7% | |
| 20 | Rocco Forte | 13 | 4 | ↓ 7.1% |
Of the hotels named this week: how many resolved to a chain (Marriott / Accor / …), an independent property, a vacation rental, or stayed unmatched.
What every metric means
Plain-English definitions for each number on this page. For deeper visuals + examples, see the annual landscape report linked at the bottom.
- Captures
- Number of AI responses we collected this week. Target = 616 per platform (one per prompt). Less when there are upstream errors.
- Web search
- Did the response trigger a live web fetch? Detected from the underlying response stream’s search-result events, not the unreliable top-level flag. We do NOT force web search — this is organic model behavior.
- Map widget
- Did the response render a hotel-card map (the Google-Maps-style widget ChatGPT shows for travel queries)? Each card is a "map entity" with its own provider.
- Sponsored placements
- Paid sponsor placements. Detected from real single-advertiser ad units in the response stream. Excludes ChatGPT’s organic shopping cards (which are unpaid product carousels). US/AU/NZ/CA only as of May 2026.
- Sources / response
- Distinct URLs the model consulted while answering — the URLs that show up in its retrieval log, regardless of whether it cited them inline. Computed only over web-search responses (otherwise the answer is from training data, no sources to count).
- Citations / response
- Subset of sources that the model rendered as inline footnote pills in the answer. A source becomes a citation when the model explicitly references it.
- Fanouts / response
- Number of sub-queries the model spun up internally to answer the prompt (e.g. "best hotels Paris" might fan out to "hotels Paris Marais", "luxury hotels Paris", "rooftop hotels Paris", …).
- Map entities / response
- Hotel cards inside the map widget. Each carries a provider (Google Places, TripAdvisor, Yelp, Foursquare, SERP) and a place ID where applicable.
- OTA
- Online travel agency (Booking, Expedia, Hotels.com, Agoda, Trip.com, Priceline, etc.) — commission-based booking sites.
- Direct
- A hotel’s own website. Computed at request time by matching the cited domain against Google Places.
- Chain
- A hotel chain’s brand website (hilton.com, marriott.com, ihg.com, …). 175+ chain-domain rules.
- Editorial
- Travel media (Condé Nast Traveler, Time Out, Lonely Planet, Forbes Travel Guide, NYT, etc.) and city-specific travel blogs (santorinidave.com, theurbanlist.com, etc.).
- Directory
- Multi-property hotel consortia / brand collectives (Small Luxury Hotels of the World, Design Hotels, Preferred Hotels, Virtuoso, …). Aggregate hotels under one umbrella but aren’t a single OTA.
- Review
- TripAdvisor, Oyster, Yelp, Trustpilot, Holidaycheck — review-first platforms.