AI Hotel Landscape
How leading AI assistants recommend hotels — 616 prompts across 56 destinations, refreshed every Monday.
Named hotels in Czechia — Grok
Grok's top picks specifically in Czechia. Switch country at the top to filter, or clear to see worldwide.
Wasn't on Grok's radar last week. Now it is.
When Grok 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 Grok pulls hotel information from
Every URL Grok cited classified into 12 buckets: OTAs, editorial, chain sites, direct hotel pages, social, meta-search, AI tools, community, government, directory consortia, and other.
OTA & Aggregator booking.com 64% · expedia.com 23% · hotels.com 14% | 26.5% | 223 |
Editorial travelweekly.com 56% · guide.michelin.com 28% · cntraveler.com 16% | 15.9% | 134 |
Review Site tripadvisor.com 85% · yelp.com 14% · m.yelp.com 1% | 12.7% | 107 |
Other google.com.bz 36% · classictravel.com 34% · amimagazine.global 30% | 11.5% | 97 |
Independent Hotel cordishotels.com 34% · hotelmonteleone.com 34% · marinabaysands.com 32% | 9.7% | 82 |
Chain fourseasons.com 40% · marriott.com 37% · hyatt.com 23% | 7.0% | 59 |
Meta-search kayak.com 67% · trivago.com 18% · google.com 14% | 6.1% | 51 |
Social Channel facebook.com 48% · reddit.com 27% · youtube.com 25% | 5.8% | 49 |
Top hotel parent groups by Grok mentionsWorldwide
Each Grok 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 | 10 → 13 | +30% |
| 2 | Oberoi | 14 → 18 | +29% |
| 3 | Hilton | 76 → 92 | +21% |
| 4 | Rocco Forte | 12 → 14 | +17% |
| 5 | Marriott | 239 → 255 | +7% |
| 1 | Mandarin Oriental | 51 → 44 | -14% |
| 2 | Minor | 22 → 19 | -14% |
| 3 | Langham | 22 → 19 | -14% |
| 4 | Hyatt | 101 → 93 | -8% |
| 5 | Radisson | 16 → 15 | -6% |
| # | Brand | Mentions | Hotels | W/W | |
|---|---|---|---|---|---|
| 1 | Marriott | 255 | 141 | ↑ 6.7% | |
| 2 | Accor | 149 | 91 | ↑ 4.2% | |
| 3 | Four Seasons | 122 | 37 | ↓ 1.6% | |
| 4 | Hyatt | 93 | 45 | ↓ 7.9% | |
| 5 | Hilton | 92 | 56 | ↑ 21.1% | |
| 6 | IHG | 64 | 50 | ↓ 1.5% | |
| 7 | Mandarin Oriental | 44 | 15 | ↓ 13.7% | |
| 8 | Shangri-La | 35 | 14 | ↑ 6.1% | |
| 9 | Kempinski | 34 | 9 | · 0% | |
| 10 | Peninsula | 29 | 9 | · 0% | |
| 11 | Rosewood | 28 | 10 | ↑ 3.7% | |
| 12 | Taj | 19 | 7 | · 0% | |
| 13 | Langham | 19 | 5 | ↓ 13.6% | |
| 14 | Minor | 19 | 12 | ↓ 13.6% | |
| 15 | Oberoi | 18 | 6 | ↑ 28.6% | |
| 16 | Capella | 17 | 5 | ↓ 5.6% | |
| 17 | Radisson | 15 | 11 | ↓ 6.3% | |
| 18 | Meliá | 14 | 9 | · 0% | |
| 19 | Rocco Forte | 14 | 5 | ↑ 16.7% | |
| 20 | Belmond | 13 | 4 | ↑ 30.0% |
Of the hotels named this week: how many resolved to a chain (Marriott / Accor / …), an independent property, a vacation rental, or stayed unmatched.
The 616 prompts we ask Grok 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).
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.