Nicolas Sitter
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Live · refreshed weeklyUpdated September 28, 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 Copilot 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 China — Copilot

Copilot's top picks specifically in China. Switch country at the top to filter, or clear to see worldwide.

Hotel of the Week
5 mentions
Dongcheng

Most-mentioned hotel by Copilot this week.

Top 20 hotels by Copilot mentions — week of September 28, 2026
#HotelCityChainMentionsW/W
10Hilton Beijing WangfujingDongchengHilton5—
46Waldorf Astoria Shanghai on the BundHuangpu, ShanghaiHilton4↑ 1
43The Ritz-Carlton Shanghai, PudongPudong, ShanghaiMarriott4↑ 2
42The Peninsula BeijingDongchengPeninsula4↑ 1
24Mandarin Oriental Wangfujing BeijingDongchengMandarin Oriental4↓ 1
75Rosewood BeijingChaoyangRosewood3↑ 1
53Fairmont Peace HotelHuangpu, ShanghaiAccor3↑ 1
94Waldorf Astoria BeijingDongchengHilton3↓ 1
60Grand Hyatt ShanghaiPudongHyatt3↑ 1
54Four Seasons BeijingChaoyangFour Seasons3—
71New World Beijing HotelDongcheng—3—
167JW Marriott Hotel Shanghai at Tomorrow SquareHuangpuMarriott2NEW
204Shanghai Marriott Hotel City CentreHuangpu, ShanghaiMarriott2↑ 1
175Mandarin Oriental Pudong, ShanghaiPudongMandarin Oriental2↑ 1
197Pudong Shangri-LaPudong, ShanghaiShangri-La2↑ 1
155Hotel Indigo Shanghai on The BundShanghaiIHG2—
189NUO Hotel BeijingChaoyang—2NEW
234The Peninsula Hotel ShanghaiHuangpuPeninsula2↓ 1
202Renaissance Beijing Wangfujing HotelDongchengMarriott2NEW
937URBN Hotel ShanghaiJing'An—1NEW
This is the top 20 of this week, so the W/W column skews upward by construction: a hotel that fell simply drops out of the table rather than showing a ↓. Read it as “what rose into the top 20”, not as a balanced gainers-and-losers view — the risers and fallers below are computed over every hotel, not just these twenty.
SOURCES

Where Copilot pulls hotel information from

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

Chain
41.8% (66)
Independent Hotel
30.4% (48)
Other
9.5% (15)
Review Site
7.6% (12)
Editorial
6.3% (10)
OTA & Aggregator
3.2% (5)
Community
0.6% (1)
Search engine
0.6% (1)
Top categories
Chain
peninsula.com 36% · ihg.com 32% · rosewoodhotels.com 32%
41.8%66
Independent Hotel
waldorfastoriahotels.com.cn 44% · hilton.com.cn 33% · eclathotels.com 22%
30.4%48
Other
portmanarchitects.com 50% · travellermade.com 38% · cravmedia.com 13%
9.5%15
Review Site
tripadvisor.co.uk 44% · tripadvisor.com 44% · tripadvisor.com.au 11%
7.6%12
Editorial
forbestravelguide.com 78% · fivestaralliance.com 11% · tablethotels.com 11%
6.3%10
OTA & Aggregator
booking.com 60% · luxuryhunt.com 20% · orbitz.com 20%
3.2%5
Community
hostelz.com 100%
0.6%1
Search engine
google.com 100%
0.6%1
Has that changed over time?
21 weeks · 2026-05-11 → 2026-09-28

Share of citations by source type, week by week, for CN. 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.

ChainIndependent hotelOtherEditorialOTAReview siteSearch engineSmaller categories
0%20%40%60%searchviewer05-1106-0106-2207-1308-0308-2409-1409-28

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: 05-11 114 · 05-18 85 · 05-25 114 · 06-01 129 · 06-08 93 · 06-15 122 · 06-22 124 · 06-29 81 · 07-06 92 · 07-13 136 · 07-20 170 · 07-27 176 · 08-03 106 · 08-10 157 · 08-17 125 · 08-24 167 · 08-31 346 · 09-07 139 · 09-14 141 · 09-21 149 · 09-28 158.

REDDIT & YOUTUBE

Does Copilot send people to Reddit and YouTube?

Share of answers citing at least one Reddit thread or YouTube video, week by week. Worldwide.

How often does Copilot cite Reddit or YouTube?
23 weeks · 2026-04-27 → 2026-09-28

Share of answers citing at least one Reddit thread or YouTube video. Counted from the citation domains, so this measures what Copilot showed as a source — not whether it read them.

RedditYouTube
0%10%04-2705-1806-0806-2907-2008-1008-3109-2109-28

Latest week (2026-09-28): 0 of 1,232 answers cited Reddit (0.0%), 0 cited YouTube, across 4,782 citations.

BRANDS

Top hotel parent groups by Copilot mentions

Each Copilot 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
1Marriott7 → 15+114%
↓ Losers
biggest WoW drops
no qualifying brands this week
#BrandMentionsHotelsW/W
1Marriott159↑ 114.3%
2Hilton123· 0%
3Mandarin Oriental62· 0%
4IHG65↑ 50.0%
5Peninsula62· 0%
6Hyatt42· 0%
7Rosewood31↑ 50.0%
8Shangri-La32↑ 50.0%
9Four Seasons31↓ 25.0%
10Accor31↑ 50.0%
11Radisson22↓ 33.3%
12Kempinski11—
13Capella11—
14Aman11· 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.

Chain83.5%↑ 24.5%
Independent16.5%↓ 13.3%
Vacation rental0.0%
Unresolved0.0%↓ 100.0%
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