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Live · refreshed weeklyUpdated May 18, 2026

AI Hotel Landscape

How leading AI assistants recommend hotels — 616 prompts across 56 destinations, refreshed every Monday.

Data is directional. Some prompts retry due to upstream variance, so absolute counts can shift ±5% week to week.
HIGHLIGHTS

Named hotels in Kyoto — Grok

Grok's top picks specifically in Kyoto, JP. Pick a different destination above, or clear to see worldwide.

Hotel of the Week
3 mentions
Tokyo 100-0006

Most-mentioned hotel by Grok this week.

SOURCES

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
27.3% (479)
Other
19.0% (334)
Editorial
16.0% (281)
Review Site
10.3% (181)
Chain
7.5% (132)
Social Channel
6.9% (121)
Independent Hotel
6.7% (118)
Meta-search
3.4% (59)
Hotel Directory
1.8% (31)
Community
0.6% (10)
Government / DMO
0.3% (6)
Encyclopedia
0.1% (2)
Top categories
OTA & Aggregator
booking.com 64% · expedia.com 23% · hotels.com 14%
27.3%479
Other
google.com.bz 36% · classictravel.com 34% · amimagazine.global 30%
19.0%334
Editorial
travelweekly.com 56% · guide.michelin.com 28% · cntraveler.com 16%
16.0%281
Review Site
tripadvisor.com 85% · yelp.com 14% · m.yelp.com 1%
10.3%181
Chain
fourseasons.com 40% · marriott.com 37% · hyatt.com 23%
7.5%132
Social Channel
facebook.com 48% · reddit.com 27% · youtube.com 25%
6.9%121
Independent Hotel
cordishotels.com 34% · hotelmonteleone.com 34% · marinabaysands.com 32%
6.7%118
Meta-search
kayak.com 67% · trivago.com 18% · google.com 14%
3.4%59
BRANDS

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.

Gainers
biggest WoW jumps
1Belmond1013+30%
2Oberoi1418+29%
3Hilton7692+21%
4Rocco Forte1214+17%
5Marriott239255+7%
Losers
biggest WoW drops
1Mandarin Oriental5144-14%
2Minor2219-14%
3Langham2219-14%
4Hyatt10193-8%
5Radisson1615-6%
#BrandMentionsHotelsW/W
1Marriott255141 6.7%
2Accor14991 4.2%
3Four Seasons12237 1.6%
4Hyatt9345 7.9%
5Hilton9256 21.1%
6IHG6450 1.5%
7Mandarin Oriental4415 13.7%
8Shangri-La3514 6.1%
9Kempinski349· 0%
10Peninsula299· 0%
11Rosewood2810 3.7%
12Taj197· 0%
13Langham195 13.6%
14Minor1912 13.6%
15Oberoi186 28.6%
16Capella175 5.6%
17Radisson1511 6.3%
18Meliá149· 0%
19Rocco Forte145 16.7%
20Belmond134 30.0%
Chain vs Independent

Of the hotels named this week: how many resolved to a chain (Marriott / Accor / …), an independent property, a vacation rental, or stayed unmatched.

Chain19.8% 33.3%
Independent24.8% 16.7%
Vacation rental0.0%
Unresolved55.4% 3.7%
PROMPTS

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.

Prompts / week
616
across 6 platforms
Destinations
56
distinct cities
Countries
37
dest country
Regions
5
continental groupings
56 destinations across 37 countrieseuropeamericasasiaafricaoceania
Template patterns

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

Each destination is asked the 11 prompt patterns above (11 prompts × 4 cities = 44 prompts in this region).

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

Each destination is asked the 11 prompt patterns above (11 prompts × 16 cities = 176 prompts in this region).

europe17 destinations · 187 prompts

Each destination is asked the 11 prompt patterns above (11 prompts × 17 cities = 187 prompts in this region).

oceania5 destinations · 55 prompts

Each destination is asked the 11 prompt patterns above (11 prompts × 5 cities = 55 prompts in this region).

DEFINITIONS

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.
Want a deeper read? See the in-depth annual report