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 11 prompts we ask Copilot about Tokyo

Same 11 question patterns asked about every destination — persona (couples, families, solo, business), budget (luxury, mid, budget), and zoom (city-wide, neighborhood, landmark).

luxury hotels in Tokyo
budget: luxuryzoom: wide
best hotels in Tokyo
zoom: widecontrol
best hotels in Shibuya, Tokyo
zoom: near
best hotels in Tokyo for couples
persona: coupleszoom: wide
family friendly hotels in Tokyo
persona: familieszoom: wide
hotels near Tokyo Tower
zoom: near
best hotels in Tokyo for business travelers
persona: solo_businesszoom: wide
boutique hotels in Shibuya, Tokyo
zoom: near
hotels in Tokyo with rooftop pool
zoom: wide
best hotels in Tokyo for solo travelers
persona: solo_leisurezoom: wide
affordable hotels in Tokyo under $200
budget: budgetzoom: wide
HIGHLIGHTS

Named hotels in Tokyo — Copilot

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

Hotel of the Week
3 mentions

Most-mentioned hotel by Copilot this week.

Top 20 hotels by Copilot mentions — week of September 7, 2026
#HotelCityChainMentionsW/W
94Four Seasons Resort Maldives at Kuda HuraaFour Seasons3 3
106Hotel Granvia KyotoKyoto3 3
232Gili Lankanfushi Maldives2 2
386Shinjuku Granbell HotelTokyo 160-00212 2
381Shangri-La TokyoTokyo 100-8283Shangri-La2 2
402THE BLOSSOM KYOTOKyoto2 2
385Shibuya Stream HotelTokyo 150-00022 2
384Sheraton Maldives Full Moon Resort & SpaMarriott2 2
281Hyatt Regency KyotoKyotoHyatt2 2
243Higashiyama ShikikabokuKyoto2 2
233GOZAN HOTEL & SERVICED APARTMENT Higashiyama SanjoKyoto2 2
185Baros2 2
180Bandos Maldives2 2
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.

Independent Hotel
44.4% (64)
Other
24.3% (35)
Chain
19.4% (28)
OTA & Aggregator
5.6% (8)
Community
3.5% (5)
Review Site
1.4% (2)
Editorial
0.7% (1)
Social Channel
0.7% (1)
Top categories
Independent Hotel
granbellhotel.jp 45% · celestinehotels.jp 27% · parkhoteltokyo.com 27%
44.4%64
Other
prestigia.com 40% · hotel-board.com 30% · park-hyatt.hotels-tokyo-jp.com 30%
24.3%35
Chain
aman.com 44% · hyatt.com 39% · ritzcarlton.com 17%
19.4%28
OTA & Aggregator
booking.com 71% · agoda.com 14% · orbitz.com 14%
5.6%8
Community
myboutiquehotel.com 100%
3.5%5
Review Site
tripadvisor.com 100%
1.4%2
Editorial
fivestaralliance.com 100%
0.7%1
Social Channel
pinterest.com 100%
0.7%1
Has that changed over time?
18 weeks · 2026-05-112026-09-07

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

Independent hotelChainOtherReview siteOTAEditorialCommunitySmaller categories
0%20%40%60%searchviewer05-1105-2506-0806-2207-0607-2008-0308-1708-3109-07

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: 05-11 78 · 05-18 54 · 05-25 69 · 06-01 81 · 06-08 71 · 06-15 40 · 06-22 59 · 06-29 56 · 07-06 61 · 07-13 53 · 07-20 82 · 07-27 109 · 08-03 57 · 08-10 101 · 08-17 79 · 08-24 73 · 08-31 184 · 09-07 79.

BRANDS

Top hotel parent groups in Tokyo — Copilot

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
1Marriott21 71.4%
2Shangri-La21 33.3%
3Hilton11 66.7%
4IHG11
5Aman11 50.0%
6Peninsula11
7Mandarin Oriental11 50.0%
8Four Seasons11 50.0%
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.

Chain24.1% 52.4%
Independent73.5% 9.0%
Vacation rental0.0%
Unresolved2.4% 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