Still in beta. Spot something off or have ideas? Send me your feedback — DM on LinkedIn or email. Bugs forward 🙏
Live · refreshed weeklyUpdated July 6, 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 Dubai — Copilot

Copilot's top picks specifically in Dubai, AE. Pick a different destination above, or clear to see worldwide.

Hotel of the Week
4 mentions
Dubai

Most-mentioned hotel by Copilot this week.

SOURCES

Where Copilot pulls hotel information from

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

Chain
29.4% (10)
Independent Hotel
20.6% (7)
Other
20.6% (7)
Editorial
17.6% (6)
Review Site
5.9% (2)
OTA & Aggregator
2.9% (1)
Hotel Directory
2.9% (1)
Top categories
Chain
marriott.com 47% · fourseasons.com 27% · hyatt.com 27%
29.4%10
Independent Hotel
lottehotel.com 38% · qthotels.com 38% · cervo.swiss 24%
20.6%7
Other
fity.club 58% · travoh.com 24% · las-vegastravelguide.com 18%
20.6%7
Editorial
travel.usnews.com 43% · travelplusstyle.com 34% · fivestaralliance.com 23%
17.6%6
Review Site
tripadvisor.com 70% · tripadvisor.co.uk 17% · tripadvisor.com.au 13%
5.9%2
OTA & Aggregator
booking.com 72% · agoda.com 19% · hotels.com 9%
2.9%1
Hotel Directory
designhotels.com 43% · abodeboutiquehotels.com 29% · auckland-hotels.co.nz 29%
2.9%1
BRANDS

Top hotel parent groups by Copilot mentionsWorldwide

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
1Rosewood713+86%
2Radisson1726+53%
3Oberoi1218+50%
4Belmond812+50%
5IHG5576+38%
Losers
biggest WoW drops
1Aman118-27%
2Wyndham109-10%
3Taj1817-6%
4Langham3433-3%
#BrandMentionsHotelsW/W
1Marriott295159 15.2%
2Accor14479 17.1%
3Hyatt10153 14.8%
4Four Seasons8833 4.8%
5Hilton8548 25.0%
6IHG7651 38.2%
7Mandarin Oriental4616 27.8%
8Langham337 2.9%
9Shangri-La3316 10.0%
10Minor3223 28.0%
11Peninsula2910 31.8%
12Radisson2616 52.9%
13Kempinski268 13.0%
14Oberoi185 50.0%
15Taj176 5.6%
16Rosewood138 85.7%
17Belmond124 50.0%
18Meliá117· 0%
19Barceló107 25.0%
20Rocco Forte103 25.0%
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.

Chain64.0% 28.0%
Independent36.0%· 0%
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