AI Hotel Landscape
How leading AI assistants recommend hotels — 616 prompts across 56 destinations, refreshed every Monday.
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 Bangkok — Copilot
Copilot's top picks specifically in Bangkok, TH. Pick a different destination above, or clear to see worldwide.
Most-mentioned hotel by Copilot this week.
| # | Hotel | City | Chain | Mentions | W/W |
|---|---|---|---|---|---|
| 145 | The Okura Prestige Bangkok | Pathum Wan | — | 4 | ↑ 4 |
| 79 | Burasari | Kathu District | — | 4 | ↑ 4 |
| 95 | Gili Lankanfushi Maldives | — | — | 4 | ↑ 4 |
| 146 | The Peninsula Bangkok | Khlong San | Peninsula | 4 | ↑ 4 |
| 166 | Amari Phuket | Chang Wat Phuket | — | 3 | ↑ 3 |
| 171 | Baros | — | — | 3 | ↑ 3 |
| 264 | Sri Panwa Phuket Luxury Pool Villa Hotel | Muang | — | 3 | ↑ 3 |
| 287 | The Royal Paradise Hotel & Spa Patong Phuket | Kathu District | — | 3 | ↑ 3 |
| 260 | SO/ Bangkok | Bang Rak | — | 3 | ↑ 3 |
| 294 | Trisara | Thalang District | — | 3 | ↑ 3 |
| 292 | The St. Regis Maldives Vommuli Resort | — | Marriott | 3 | ↑ 3 |
| 311 | Amanpuri | Thalang District | Aman | 2 | ↑ 2 |
| 388 | Hotel Indigo Bangkok Wireless Road by IHG | Pathum Wan | IHG | 2 | ↑ 2 |
| 319 | Avani+ Riverside Bangkok Hotel | Thon Buri | Minor | 2 | ↑ 2 |
| 316 | ASHLEE Plaza Patong Hotel & Spa | Kathu 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 cited classified into 12 buckets: OTAs, editorial, chain sites, direct hotel pages, social, meta-search, AI tools, community, government, directory consortia, and other.
Independent Hotel lottehotel.com 38% · qthotels.com 38% · cervo.swiss 24% | 35.5% | 27 |
Chain marriott.com 47% · fourseasons.com 27% · hyatt.com 27% | 26.3% | 20 |
Other fity.club 58% · travoh.com 24% · las-vegastravelguide.com 18% | 14.5% | 11 |
Review Site tripadvisor.com 70% · tripadvisor.co.uk 17% · tripadvisor.com.au 13% | 7.9% | 6 |
OTA & Aggregator booking.com 72% · agoda.com 19% · hotels.com 9% | 7.9% | 6 |
Editorial travel.usnews.com 43% · travelplusstyle.com 34% · fivestaralliance.com 23% | 3.9% | 3 |
Community hotelierschoice.com 47% · myboutiquehotel.com 30% · therooftopguide.com 23% | 3.9% | 3 |
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 | Rosewood | 7 → 13 | +86% |
| 2 | Radisson | 17 → 26 | +53% |
| 3 | Oberoi | 12 → 18 | +50% |
| 4 | Belmond | 8 → 12 | +50% |
| 5 | IHG | 55 → 76 | +38% |
| 1 | Aman | 11 → 8 | -27% |
| 2 | Wyndham | 10 → 9 | -10% |
| 3 | Taj | 18 → 17 | -6% |
| 4 | Langham | 34 → 33 | -3% |
| # | Brand | Mentions | Hotels | W/W | |
|---|---|---|---|---|---|
| 1 | Marriott | 295 | 159 | ↑ 15.2% | |
| 2 | Accor | 144 | 79 | ↑ 17.1% | |
| 3 | Hyatt | 101 | 53 | ↑ 14.8% | |
| 4 | Four Seasons | 88 | 33 | ↑ 4.8% | |
| 5 | Hilton | 85 | 48 | ↑ 25.0% | |
| 6 | IHG | 76 | 51 | ↑ 38.2% | |
| 7 | Mandarin Oriental | 46 | 16 | ↑ 27.8% | |
| 8 | Langham | 33 | 7 | ↓ 2.9% | |
| 9 | Shangri-La | 33 | 16 | ↑ 10.0% | |
| 10 | Minor | 32 | 23 | ↑ 28.0% | |
| 11 | Peninsula | 29 | 10 | ↑ 31.8% | |
| 12 | Radisson | 26 | 16 | ↑ 52.9% | |
| 13 | Kempinski | 26 | 8 | ↑ 13.0% | |
| 14 | Oberoi | 18 | 5 | ↑ 50.0% | |
| 15 | Taj | 17 | 6 | ↓ 5.6% | |
| 16 | Rosewood | 13 | 8 | ↑ 85.7% | |
| 17 | Belmond | 12 | 4 | ↑ 50.0% | |
| 18 | Meliá | 11 | 7 | · 0% | |
| 19 | Barceló | 10 | 7 | ↑ 25.0% | |
| 20 | Rocco Forte | 10 | 3 | ↑ 25.0% |
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.