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Live · refreshed weeklyUpdated July 13, 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.
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).

HIGHLIGHTS

Named hotels in Mexico City — Google AI Mode

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

Hotel of the Week
4 mentions
NIZUC Resort & Spa
Cancún

Most-mentioned hotel by Google AI Mode this week.

Top 20 hotels by Google AI Mode mentions — week of July 13, 2026
#HotelCityChainMentionsW/W
96NIZUC Resort & SpaCancún4 4
82Hyatt Regency Mexico CityMiguel Hidalgo, Mexico CityHyatt4 4
98Playa MujeresCancún4 4
71Four Seasons Hotel Mexico CityCuauhtémoc, Mexico CityFour Seasons4 4
176Le Blanc Spa Resort CancunCancún3 3
175Las Alcobas, a Luxury Collection Hotel, Mexico CityMiguel Hidalgo, Mexico CityMarriott3 3
222W Mexico CityMiguel Hidalgo, Mexico CityMarriott3 3
212The St. RegisCuauhtémoc, Mexico CityMarriott3 3
171JW Marriott Cancun Resort & SpaCancúnMarriott3 3
161Hotel MexicoCuauhtémoc, Mexico City3 3
234Anantara Kihavah Maldives VillasMinor2 2
245Casa Pepe Hostel Boutique CDMXMexico City2 2
276Grand Fiesta Americana Coral Beach Cancún All Inclusive Spa & ResortCancún2 2
288Hotel CondesaBenito Juarez, Mexico City2 2
342Live Aqua CancúnCancún2 2
318Hyatt Ziva CancunCancúnHyatt2 2
357Mía CancunCancún2 2
379Renaissance Cancun Resort & MarinaCancúnMarriott2 2
275Gran Hotel Ciudad de MéxicoCuauhtémoc, Mexico City2 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
69.9% (432)
OTA & Aggregator
15.2% (94)
Other
9.1% (56)
Editorial
2.3% (14)
Independent Hotel
1.6% (10)
Chain
1.0% (6)
Social Channel
0.6% (4)
Community
0.2% (1)
Review Site
0.2% (1)
Top categories
Meta-search
google.com 100% · trivago.com 0% · hotelscombined.com 0%
69.9%432
OTA & Aggregator
expedia.com 44% · agoda.com 37% · booking.com 19%
15.2%94
Other
foratravel.com 38% · cozycozy.com 37% · loveholidays.com 25%
9.1%56
Editorial
thehotelguru.com 58% · telegraph.co.uk 23% · cntraveler.com 20%
2.3%14
Independent Hotel
dayuse.com 35% · treebo.com 35% · sherao.qa 29%
1.6%10
Chain
all.accor.com 39% · marriott.com 31% · hilton.com 29%
1.0%6
Social Channel
reddit.com 46% · instagram.com 31% · facebook.com 23%
0.6%4
Community
myboutiquehotel.com 41% · travelmyth.co.uk 33% · hostelworld.com 26%
0.2%1
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
1Shangri-La2733+22%
2Langham2731+15%
3Taj1921+11%
4Kempinski2224+9%
Losers
biggest WoW drops
11 Hotels158-47%
2Wyndham127-42%
3Rosewood2516-36%
4Rocco Forte128-33%
5Capella1410-29%
#BrandMentionsHotelsW/W
1Marriott231132 6.5%
2Accor11070 6.8%
3Four Seasons9832 8.4%
4Hyatt8548 15.0%
5Hilton6339 16.0%
6IHG4935 16.9%
7Mandarin Oriental3716 2.8%
8Shangri-La3316 22.2%
9Langham318 14.8%
10Kempinski247 9.1%
11Minor2313 8.0%
12Peninsula227 4.8%
13Taj217 10.5%
14Radisson1713 26.1%
15Rosewood166 36.0%
16Belmond134· 0%
17Oberoi123 7.7%
18Capella104 28.6%
19Meliá98 10.0%
201 Hotels83 46.7%
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.

Chain36.6% 9.7%
Independent52.7% 33.8%
Vacation rental0.0%
Unresolved10.8% 900.0%
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