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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 Singapore — Google AI Mode

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

Hotel of the Week
7 mentions
10 Bayfront Ave

Most-mentioned hotel by Google AI Mode this week.

Newcomer
new — 7 mentions
10 Bayfront Ave

Wasn't on Google AI Mode's radar last week. Now it is.

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
44.4% (79)
Other
14.6% (26)
OTA & Aggregator
9.6% (17)
Social Channel
8.4% (15)
Review Site
8.4% (15)
Editorial
5.6% (10)
Independent Hotel
3.9% (7)
Community
2.2% (4)
Chain
1.1% (2)
Hotel Directory
1.1% (2)
Encyclopedia
0.6% (1)
Top categories
Meta-search
google.com 98% · kayak.com 2% · trivago.co.uk 1%
44.4%79
Other
scribehow.com 40% · foratravel.com 36% · themostperfectview.com 25%
14.6%26
OTA & Aggregator
expedia.com 44% · agoda.com 38% · hotels.com 18%
9.6%17
Social Channel
reddit.com 58% · facebook.com 28% · instagram.com 15%
8.4%15
Review Site
tripadvisor.com 98% · tripadvisor.ca 1% · m.yelp.com 1%
8.4%15
Editorial
cntraveler.com 36% · forbestravelguide.com 34% · thehotelguru.com 30%
5.6%10
Independent Hotel
brunelleschihotelflorence.com 43% · colonnadehotel.com 29% · cordishotels.com 29%
3.9%7
Community
myboutiquehotel.com 43% · travelmyth.com 30% · santorinidave.com 27%
2.2%4
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.

Chain36.0% 18.2%
Independent56.0% 22.2%
Vacation rental0.0%
Unresolved8.0% 300.0%
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