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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 Phuket — Google AI Mode

Google AI Mode's top picks specifically in Phuket, TH. Pick a different destination above, or clear to see worldwide.

Hotel of the Week
4 mentions

Most-mentioned hotel by Google AI Mode this week.

Top 20 hotels by Google AI Mode mentions — week of May 18, 2026
#HotelCityChainMentionsW/W
104The St. Regis Maldives Vommuli ResortMarriott4 4
236The Peninsula BangkokKhlong SanPeninsula3 3
212Sri Panwa Phuket Luxury Pool Villa HotelMuang3 3
196Phuket Marriott Resort & Spa, Merlin BeachPhuketMarriott3 3
184Mandarin Oriental, BangkokBang RakMandarin Oriental3 3
181Lub d Phuket PatongKathu District3 3
157Hotel Indigo Phuket Patong by IHGKathu DistrictIHG3 3
120Banyan Tree BangkokSathonBanyan Tree3 3
115Amari PhuketChang Wat Phuket3 3
477Sinae PhuketMueang Phuket District2 2
403KUDO Hotel & Beach ClubKathu District2 2
355Hotel Clover Patong PhuketKathu District2 2
342HOMA Phuket TownAmphoe Meuang2 2
SOURCES

Where Google AI Mode pulls hotel information from

Every URL Google AI Mode cited classified into 12 buckets: OTAs, editorial, chain sites, direct hotel pages, social, meta-search, AI tools, community, government, directory consortia, and other.

Meta-search
38.4% (140)
Other
17.3% (63)
OTA & Aggregator
16.7% (61)
Independent Hotel
6.8% (25)
Editorial
6.6% (24)
Social Channel
5.5% (20)
Review Site
5.5% (20)
Community
2.2% (8)
Chain
0.8% (3)
Government / DMO
0.3% (1)
Top categories
Meta-search
google.com 98% · kayak.com 2% · trivago.co.uk 1%
38.4%140
Other
scribehow.com 40% · foratravel.com 36% · themostperfectview.com 25%
17.3%63
OTA & Aggregator
expedia.com 44% · agoda.com 38% · hotels.com 18%
16.7%61
Independent Hotel
brunelleschihotelflorence.com 43% · colonnadehotel.com 29% · cordishotels.com 29%
6.8%25
Editorial
cntraveler.com 36% · forbestravelguide.com 34% · thehotelguru.com 30%
6.6%24
Social Channel
reddit.com 58% · facebook.com 28% · instagram.com 15%
5.5%20
Review Site
tripadvisor.com 98% · tripadvisor.ca 1% · m.yelp.com 1%
5.5%20
Community
myboutiquehotel.com 43% · travelmyth.com 30% · santorinidave.com 27%
2.2%8
BRANDS

Top hotel parent groups by Google AI Mode mentionsWorldwide

Each Google AI Mode 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
1Minor2635+35%
2Wyndham912+33%
3Barceló912+33%
4Radisson2731+15%
Losers
biggest WoW drops
1Rocco Forte114-64%
2Aman136-54%
3Capella148-43%
4Peninsula2717-37%
5Oberoi128-33%
#BrandMentionsHotelsW/W
1Marriott270151 6.3%
2Accor11578 17.3%
3Hilton10062 4.2%
4Hyatt9653 4.0%
5Four Seasons8832 12.9%
6IHG7049 14.6%
7Mandarin Oriental3817 13.6%
8Minor3521 34.6%
9Radisson3119 14.8%
10Langham249 4.3%
11Shangri-La2415 7.7%
12Taj218 8.7%
13Kempinski188 28.0%
14Peninsula178 37.0%
15Rosewood168 15.8%
16Wyndham1212 33.3%
17Barceló127 33.3%
18Meliá96 28.6%
191 Hotels94 10.0%
20Oberoi82 33.3%
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.

Chain39.8% 15.7%
Independent55.6% 11.1%
Vacation rental0.0%
Unresolved4.6% 150.0%
PROMPTS

The 616 prompts we ask Google AI Mode 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