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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 Marrakech — Copilot

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

Hotel of the Week
5 mentions
Rue Abou Abbas El Sebti، Marrakech

Most-mentioned hotel by Copilot this week.

Newcomer
new — 5 mentions
Rue Abou Abbas El Sebti، Marrakech

Wasn't on Copilot's radar last week. Now it is.

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.

Other
36.1% (13)
Independent Hotel
27.8% (10)
Chain
19.4% (7)
Editorial
8.3% (3)
Review Site
5.6% (2)
Social Channel
2.8% (1)
Top categories
Other
fity.club 58% · travoh.com 24% · las-vegastravelguide.com 18%
36.1%13
Independent Hotel
lottehotel.com 38% · qthotels.com 38% · cervo.swiss 24%
27.8%10
Chain
marriott.com 47% · fourseasons.com 27% · hyatt.com 27%
19.4%7
Editorial
travel.usnews.com 43% · travelplusstyle.com 34% · fivestaralliance.com 23%
8.3%3
Review Site
tripadvisor.com 70% · tripadvisor.co.uk 17% · tripadvisor.com.au 13%
5.6%2
Social Channel
pinterest.com 73% · au.pinterest.com 18% · at.pinterest.com 9%
2.8%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.

Chain24.0% 20.0%
Independent74.0% 2.6%
Vacation rental0.0%
Unresolved2.0% 75.0%
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