AI Hotel Landscape
How leading AI assistants recommend hotels — 616 prompts across 56 destinations, refreshed every Monday.
+ 43 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 Los Angeles — Copilot
Copilot's top picks specifically in Los Angeles, US. Pick a different destination above, or clear to see worldwide.
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.
Chain marriott.com 45% · fourseasons.com 29% · hilton.com 26% | 36.4% | 232 |
Independent Hotel qthotels.com 40% · lottehotel.com 31% · pestana.com 29% | 35.5% | 226 |
Other fity.club 46% · travoh.com 29% · theluxevoyager.com 25% | 18.4% | 117 |
Review Site tripadvisor.com 65% · tripadvisor.co.uk 26% · tripadvisor.ca 9% | 4.2% | 27 |
Editorial travelplusstyle.com 43% · forbestravelguide.com 35% · guide.michelin.com 22% | 3.1% | 20 |
Hotel Directory auckland-hotels.co.nz 35% · kiwicollection.com 35% · designhotels.com 29% | 0.9% | 6 |
Social Channel pinterest.com 85% · youtube.com 10% · fr.pinterest.com 5% | 0.5% | 3 |
OTA & Aggregator booking.com 68% · agoda.com 22% · makemytrip.com 10% | 0.3% | 2 |
Government / DMO queenstownnz.co.nz 50% · maldives.com 38% · choosechicago.com 13% | 0.3% | 2 |
Community myboutiquehotel.com 74% · therooftopguide.com 19% · thepointsguy.com 6% | 0.3% | 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 | Peninsula | 13 → 18 | +38% |
| 2 | Langham | 17 → 21 | +24% |
| 3 | Shangri-La | 24 → 29 | +21% |
| 4 | Taj | 17 → 20 | +18% |
| 5 | IHG | 82 → 93 | +13% |
| 1 | Belmond | 11 → 10 | -9% |
| 2 | Minor | 26 → 24 | -8% |
| 3 | Kempinski | 17 → 16 | -6% |
| # | Brand | Mentions | Hotels | W/W | |
|---|---|---|---|---|---|
| 1 | Marriott | 251 | 151 | ↑ 12.6% | |
| 2 | Accor | 138 | 78 | ↑ 7.0% | |
| 3 | Hilton | 117 | 70 | ↑ 12.5% | |
| 4 | Four Seasons | 96 | 33 | ↑ 7.9% | |
| 5 | IHG | 93 | 60 | ↑ 13.4% | |
| 6 | Hyatt | 85 | 47 | ↑ 4.9% | |
| 7 | Mandarin Oriental | 35 | 18 | ↑ 12.9% | |
| 8 | Shangri-La | 29 | 16 | ↑ 20.8% | |
| 9 | Radisson | 28 | 18 | · 0% | |
| 10 | Minor | 24 | 16 | ↓ 7.7% | |
| 11 | Langham | 21 | 8 | ↑ 23.5% | |
| 12 | Taj | 20 | 8 | ↑ 17.6% | |
| 13 | Peninsula | 18 | 7 | ↑ 38.5% | |
| 14 | Kempinski | 16 | 7 | ↓ 5.9% | |
| 15 | Wyndham | 13 | 11 | ↑ 8.3% | |
| 16 | Belmond | 10 | 4 | ↓ 9.1% | |
| 17 | Barceló | 9 | 5 | ↑ 12.5% | |
| 18 | Rosewood | 8 | 5 | · 0% | |
| 19 | Oberoi | 7 | 4 | · 0% | |
| 20 | Capella | 6 | 4 | ↓ 14.3% |
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.