Nicolas Sitter
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Live · refreshed weeklyUpdated September 7, 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 1000 prompts we ask ChatGPT 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
1,000
across 6 platforms
Destinations
57
distinct cities
Countries
38
dest country
Regions
6
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).

other1 destination · 384 prompts

Each destination is asked the 11 prompt patterns above (384 prompts × 1 cities = 384 prompts in this region).

HIGHLIGHTS

Named hotels of the week — ChatGPT

Hotels ChatGPT talked about most this week, with week-over-week movement. Filtered to ChatGPT only — switch tabs to compare across models.

Hotel of the Week
9 mentions

Most-mentioned hotel by ChatGPT this week.

Top 20 hotels by ChatGPT mentions — week of September 7, 2026
#HotelCityChainMentionsW/W
1Four Seasons Resort Maldives at Kuda HuraaFour Seasons9 9
2Hotel MonteleoneNew Orleans8 8
5The Fullerton Bay Hotel Singapore80 Collyer Quay7 7
4J Hotel, Shanghai TowerShanghai7 7
6The Imperial New DelhiNew Delhi7 7
3Hyatt Regency Cape TownCape TownHyatt7 7
15Park Hyatt SydneyThe RocksHyatt6 6
11Hotel St Moritz Queenstown - MGallery CollectionQueenstownAccor6 6
14Park Hyatt AucklandAucklandHyatt6 6
9Four Seasons Hotel Buenos AiresBuenos AiresFour Seasons6 6
12JOIA Bávaro by IberostarPunta CanaIberostar6 6
71 Hotel South BeachMiami Beach1 Hotels6 6
16Playa MujeresCancún6 6
8Bespoke Trendy Hotel HanoiHa Noi6 6
10Four Seasons Hotel Istanbul At The BosphorusBeşiktaşFour Seasons6 6
19The Oberoi, MumbaiMumbaiOberoi6 6
18The Langham Gold CoastSurfers ParadiseLangham6 6
13JW Marriott Gold Coast Resort & SpaSurfers ParadiseMarriott6 6
17The Betsy HotelMiami Beach6 6
50The Ritz-Carlton Shanghai, PudongPudong, ShanghaiMarriott5 5
ADS

Sponsored placements

OpenAI is rolling out paid sponsor placements in the US, Australia, New Zealand, and Canada — testing may expand. We detect real single-advertiser ad units (organic shopping cards excluded) and pull the brand.

Showing the most recent week with ad data — week of August 24, 2026. Current week had no captured ads.

#AdvertiserCaptures
1Expedia140
2Priceline42
3Luxury Escapes19
4Booking.com15
5Guest Reservations8
6Super.com6
7IHG Hotels & Resorts5
8trivago4
9Radisson Hotels4
10Opal Collection4
SOURCES

Where ChatGPT pulls hotel information from

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

2,652 sources retrieved
2,595 actually cited
=
97.9% citation throughput
Full throughput study →
Editorial
18.4% (489)
Other
18.3% (486)
OTA & Aggregator
16.8% (446)
Review Site
15.8% (419)
Community
8.1% (214)
Independent Hotel
6.3% (168)
Chain
6.1% (161)
Government / DMO
4.1% (108)
Meta-search
3.1% (83)
Hotel Directory
2.6% (69)
AI Tool
0.2% (6)
Search engine
0.1% (3)
Top categories
Editorial
thehotelguru.com 39% · timeout.com 36% · cntraveler.com 25%
18.4%489
Other
hanoitourism.org 39% · dublintourism.org 32% · myconciergehotel.com 29%
18.3%486
OTA & Aggregator
booking.com 83% · expedia.com 11% · travelocity.com 7%
16.8%446
Review Site
tripadvisor.com 81% · oyster.com 12% · tripadvisor.com.au 7%
15.8%419
Community
hotelierschoice.com 86% · budgetyourtrip.com 8% · santorinidave.com 6%
8.1%214
Independent Hotel
amaldives.com 43% · tripexpert.com 29% · waterfront.co.za 29%
6.3%168
Chain
marriott.com 45% · all.accor.com 33% · fourseasons.com 22%
6.1%161
Government / DMO
neworleans.com 38% · esmadrid.com 34% · miamiandbeaches.com 28%
4.1%108
Meta-search
kayak.com 40% · hotelscombined.com 32% · momondo.com 28%
3.1%83
Hotel Directory
hotelsforkings.com 57% · luxuryhotelcompare.com 34% · smallboutique-hotels.com 9%
2.6%69
AI Tool
staygenie.app 100%
0.2%6
Search engine
google.com 100%
0.1%3
Has that changed over time?
22 weeks · 2026-04-132026-09-07

Share of citations by source type, week by week. Search engine is its own bucket rather than part of metasearch, and covers Google (every regional domain), Bing and the rest. Google AI Mode routes its cited sources through google.com/searchviewer instead of linking the publisher, and those citations were landing under “meta-search” alongside trivago and kayak — which made the mix read as competitive pressure from metasearch when actual metasearch is under 1%. The dashed rule marks the week that started.

OtherReview siteEditorialOTAIndependent hotelChainCommunitySmaller categories
0%20%40%60%searchviewer04-1305-0405-2506-1507-0607-2708-1709-07

Which categories get a line is decided once over the whole window by total citations, not week by week — otherwise a category dropping out of the top N would look like it collapsed to zero. Everything below the cut is summed into “smaller categories” rather than dropped, so the lines always account for the full week. Citations per week: 04-13 4,218 · 04-20 3,605 · 04-27 10,013 · 05-04 11,586 · 05-11 1,054 · 05-18 1,296 · 05-25 10,366 · 06-01 19,118 · 06-08 18,803 · 06-15 12,162 · 06-22 9,388 · 06-29 14,505 · 07-06 13,627 · 07-13 6,373 · 07-20 6,423 · 07-27 6,073 · 08-03 6,058 · 08-10 6,331 · 08-17 5,801 · 08-24 4,234 · 08-31 5,638 · 09-07 2,652.

TOP DOMAINS

The domains ChatGPT pulls most — and how many it keeps

Individual domains ranked by URLs retrieved, with the category and the share that survive into the answer (throughput = cited ÷ retrieved). Worldwide, current week.

Top domains — retrieved vs. cited
DomainCategoryRetrievedCitedThroughput
booking.comOTA & Aggregator317315
99%
tripadvisor.comReview Site261252
97%
hotelierschoice.comCommunity160159
99%
thehotelguru.comEditorial9694
98%
timeout.comEditorial9090
100%
cntraveler.comEditorial6160
98%
expedia.comOTA & Aggregator4240
95%
oyster.comReview Site3837
97%
cntraveller.comEditorial3635
97%
marriott.comChain3434
100%
forbestravelguide.comEditorial3030
100%
hotelsforkings.comHotel Directory3030
100%
kayak.comMeta-search2929
100%
travelocity.comOTA & Aggregator2525
100%
all.accor.comChain2525
100%
BRANDS

Top hotel parent groups by ChatGPT mentions

Each ChatGPT 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
1Hilton94121+29%
2Minor2429+21%
3Peninsula2024+20%
4Mandarin Oriental4954+10%
Losers
biggest WoW drops
1Barceló114-64%
2Rocco Forte156-60%
3Lungarno146-57%
4Shangri-La3519-46%
5Meliá1811-39%
#BrandMentionsHotelsW/W
1Marriott247158 23.5%
2Accor14995 8.0%
3Hilton12172 28.7%
4Hyatt11570 3.6%
5Four Seasons10438 17.5%
6IHG9074 2.3%
7Mandarin Oriental5421 10.2%
8Minor2917 20.8%
9Kempinski2411 14.3%
10Peninsula248 20.0%
11Rosewood228 4.8%
12Taj2111 22.2%
13Shangri-La1910 45.7%
14Wyndham1715 5.6%
15Capella165 15.8%
16Langham165· 0%
17Radisson1515 34.8%
18Oberoi146 22.2%
19Meliá119 38.9%
201 Hotels115 8.3%
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.

Chain42.8% 11.9%
Independent54.6% 5.3%
Vacation rental0.0% 100.0%
Unresolved2.5% 208.0%
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