AI Hotel Landscape
How leading AI assistants recommend hotels — 616 prompts across 56 destinations, refreshed every Monday.
+ 44 more
The 616 prompts we ask Copilot 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 in Phuket — Copilot
Copilot's top picks specifically in Phuket, TH. Pick a different destination above, or clear to see worldwide.
Most-mentioned hotel by Copilot this week.
| # | Hotel | City | Chain | Mentions | W/W |
|---|---|---|---|---|---|
| 2 | Four Seasons Resort Maldives at Kuda Huraa | — | Four Seasons | 7 | ↑ 7 |
| 42 | Courtyard by Marriott Phuket Town | Mueang Phuket District | Marriott | 4 | ↑ 4 |
| 62 | Novotel Phuket City Phokeethra | Amphur Muang | Accor | 4 | ↑ 4 |
| 69 | The Mangrove by Blu Monkey | Mueang Phuket District | — | 4 | ↑ 4 |
| 98 | Gili Lankanfushi Maldives | — | — | 3 | ↑ 3 |
| 145 | Shangri-La Bangkok | Bang Rak | Shangri-La | 3 | ↑ 3 |
| 194 | B2 Phuket Premier Hotel | Kathu District | — | 2 | ↑ 2 |
| 196 | Bangkok Marriott Hotel The Surawongse | Bang Rak | Marriott | 2 | ↑ 2 |
| 274 | Hotel Verdigris | Mueang Phuket District | — | 2 | ↑ 2 |
| 303 | Mandarin Oriental, Bangkok | Bang Rak | Mandarin Oriental | 2 | ↑ 2 |
| 346 | Riva Arun Bangkok | Phra Nakhon | — | 2 | ↑ 2 |
| 362 | SO/ Bangkok | Bang Rak | — | 2 | ↑ 2 |
| 373 | Sri Panwa Phuket Luxury Pool Villa Hotel | Muang | — | 2 | ↑ 2 |
| 342 | Ramada Plaza by Wyndham Chao Fah | อำเภอเมืองภูเก็ต ภูเก็ต | Wyndham | 2 | ↑ 2 |
| 332 | Phuket Marriott Resort & Spa, Merlin Beach | Phuket | Marriott | 2 | ↑ 2 |
| 272 | Hotel Tide Phuket | Mueang Phuket District | — | 2 | ↑ 2 |
When Copilot hands out a hotel link, where does it go?Worldwide
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.
Where Copilot pulls hotel information from
Every URL Copilot retrieved classified into 12 buckets: OTAs, editorial, chain sites, direct hotel pages, social, meta-search, AI tools, community, government, directory consortia, and other.
Independent Hotel qthotels.com 42% · lottehotel.com 38% · caesars.com 20% | 40.3% | 62 |
Chain marriott.com 42% · fourseasons.com 33% · hilton.com 25% | 27.9% | 43 |
Other fity.club 37% · theluxevoyager.com 37% · travoh.com 26% | 13.6% | 21 |
OTA & Aggregator booking.com 65% · agoda.com 26% · orbitz.com 9% | 5.8% | 9 |
Review Site tripadvisor.com 58% · tripadvisor.co.uk 28% · tripadvisor.com.au 13% | 3.9% | 6 |
Social Channel pinterest.com 85% · linkedin.com 7% · youtube.com 7% | 3.9% | 6 |
Editorial forbestravelguide.com 49% · travelplusstyle.com 28% · guide.michelin.com 24% | 3.2% | 5 |
Community myboutiquehotel.com 79% · therooftopguide.com 18% · hostelz.com 3% | 1.3% | 2 |
Top hotel parent groups by Copilot mentionsWorldwide
Each Copilot 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 | Belmond | 7 → 11 | +57% |
| 2 | Taj | 12 → 17 | +42% |
| 3 | Minor | 24 → 26 | +8% |
| 4 | IHG | 76 → 82 | +8% |
| 5 | Langham | 16 → 17 | +6% |
| 1 | Wyndham | 16 → 12 | -25% |
| 2 | Shangri-La | 30 → 24 | -20% |
| 3 | Peninsula | 16 → 13 | -19% |
| 4 | Mandarin Oriental | 37 → 31 | -16% |
| 5 | Hyatt | 96 → 81 | -16% |
| # | Brand | Mentions | Hotels | W/W | |
|---|---|---|---|---|---|
| 1 | Marriott | 223 | 133 | ↓ 2.2% | |
| 2 | Accor | 129 | 76 | ↑ 4.0% | |
| 3 | Hilton | 104 | 62 | ↑ 5.1% | |
| 4 | Four Seasons | 89 | 32 | ↑ 1.1% | |
| 5 | IHG | 82 | 56 | ↑ 7.9% | |
| 6 | Hyatt | 81 | 47 | ↓ 15.6% | |
| 7 | Mandarin Oriental | 31 | 17 | ↓ 16.2% | |
| 8 | Radisson | 28 | 18 | ↑ 3.7% | |
| 9 | Minor | 26 | 16 | ↑ 8.3% | |
| 10 | Shangri-La | 24 | 13 | ↓ 20.0% | |
| 11 | Langham | 17 | 9 | ↑ 6.3% | |
| 12 | Kempinski | 17 | 8 | · 0% | |
| 13 | Taj | 17 | 9 | ↑ 41.7% | |
| 14 | Peninsula | 13 | 8 | ↓ 18.8% | |
| 15 | Wyndham | 12 | 9 | ↓ 25.0% | |
| 16 | Belmond | 11 | 4 | ↑ 57.1% | |
| 17 | Las Vegas Sands | 9 | 2 | ↑ 80.0% | |
| 18 | Rosewood | 8 | 5 | ↓ 11.1% | |
| 19 | Barceló | 8 | 4 | · 0% | |
| 20 | Meliá | 7 | 6 | ↓ 12.5% |
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.