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 Türkiye — Copilot

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

Hotel of the Week
2 mentions
Fatih

Most-mentioned hotel by Copilot this week.

Top 20 hotels by Copilot mentions — week of September 28, 2026
#HotelCityChainMentionsW/W
213Sura Hagia Sophia Hotel İstanbulFatih—2—
875The Marmara TaksimBeyoğlu—1—
874The Marmara PeraBeyoğlu—1—
352Crowne Plaza Istanbul - FloryaBakırköyIHG1NEW
413Grand Hyatt IstanbulŞişliHyatt1NEW
532Hyatt Regency Istanbul AtaköyBakırköyHyatt1—
766Sheraton Istanbul City CenterBeyoğluMarriott1NEW
739Royan Hotel Hagia Sophia Istanbul, a member of Radisson IndividualsFatihRadisson1NEW
664Ottoman Hotel Imperial—1—
705Radisson Blu Hotel, Istanbul PeraBeyoğluRadisson1NEW
516Hotel St. Sophia IstanbulFatih—1—
356CVK Park Bosphorus Hotel IstanbulBeyoğlu—1—
368DoubleTree by Hilton Istanbul - ModaKadıköyHilton1—
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
47.1% (33)
Independent Hotel
28.6% (20)
Other
11.4% (8)
Review Site
7.1% (5)
OTA & Aggregator
2.9% (2)
Editorial
1.4% (1)
Social Channel
1.4% (1)
Top categories
Chain
fourseasons.com 53% · hilton.com 24% · ritzcarlton.com 24%
47.1%33
Independent Hotel
hotelamira.com 56% · ajwa.com.tr 22% · istanbulwhitehouse.com 22%
28.6%20
Other
hotel-board.com 33% · kingsmantravel.com 33% · luxatic.com 33%
11.4%8
Review Site
holidaycheck.de 40% · tripadvisor.com 40% · tripadvisor.it 20%
7.1%5
OTA & Aggregator
booking.com 50% · hoteles.com 50%
2.9%2
Editorial
fivestaralliance.com 100%
1.4%1
Social Channel
uk.pinterest.com 100%
1.4%1
Has that changed over time?
21 weeks · 2026-05-11 → 2026-09-28

Share of citations by source type, week by week, for TR. 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 hotelOtherReview siteEditorialOTACommunitySmaller 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 53 · 05-18 52 · 05-25 85 · 06-01 74 · 06-08 56 · 06-15 55 · 06-22 66 · 06-29 32 · 07-06 52 · 07-13 49 · 07-20 98 · 07-27 91 · 08-03 89 · 08-10 75 · 08-17 81 · 08-24 73 · 08-31 166 · 09-07 80 · 09-14 84 · 09-21 85 · 09-28 70.

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.

#BrandMentionsHotelsW/W
1Hyatt22↑ 100.0%
2Radisson22—
3IHG11—
4Marriott11· 0%
5Hilton11↓ 66.7%
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.

Chain46.7%↓ 50.0%
Independent46.7%↓ 58.8%
Vacation rental0.0%
Unresolved6.7%↓ 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