AI Hotel Landscape
How leading AI assistants recommend hotels — 616 prompts across 56 destinations, refreshed every Monday.
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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).
Named hotels in Tokyo — Copilot
Copilot's top picks specifically in Tokyo, JP. Pick a different destination above, or clear to see worldwide.
| # | Hotel | City | Chain | Mentions | W/W |
|---|---|---|---|---|---|
| 47 | Four Seasons Hotel Kyoto | Kyoto | Four Seasons | 4 | ↑ 2 |
| 51 | Four Seasons Resort Maldives at Kuda Huraa | — | Four Seasons | 4 | ↑ 1 |
| 82 | The Ritz-Carlton, Kyoto | Kyoto | Marriott | 4 | ↑ 1 |
| 168 | THE BLOSSOM KYOTO | Kyoto | — | 3 | ↑ 1 |
| 184 | Villa Nautica, Maldives | — | — | 3 | ↑ 2 |
| 89 | Aman Tokyo | Tokyo 100-0004 | Aman | 3 | ↑ 1 |
| 162 | Shangri-La Tokyo | Tokyo 100-8283 | Shangri-La | 3 | ↑ 1 |
| 442 | Tokyo Bay Shiomi Prince Hotel | Tokyo 135-0052 | — | 2 | — |
| 405 | The Global Hotel Tokyo | Tokyo | — | 2 | ↑ 1 |
| 213 | Conrad Maldives Rangali Island | — | Hilton | 2 | ↑ 1 |
| 260 | Hotel Chinzanso Tokyo | Tokyo 112-8680 | — | 2 | — |
| 273 | Hotel Indigo Tokyo Shibuya by IHG | Tokyo 150-0043 | IHG | 2 | ↑ 1 |
| 281 | HOTEL THE MITSUI KYOTO, a Luxury Collection Hotel & Spa | Kyoto | Marriott | 2 | — |
| 268 | Hotel Granvia Kyoto | Kyoto | — | 2 | ↑ 1 |
| 241 | Gili Lankanfushi Maldives | — | — | 2 | ↓ 1 |
| 199 | Anshin Oyado Tokyo Man Shinjuku | Shinjuku | — | 2 | ↓ 1 |
| 195 | ANA InterContinental Tokyo by IHG | Tokyo 107-0052 | IHG | 2 | ↑ 1 |
| 381 | Shibuya Stream Hotel | Tokyo 150-0002 | — | 2 | — |
| 393 | Suiran, a Luxury Collection Hotel, Kyoto | Kyoto | Marriott | 2 | — |
| 400 | The Celestine Hotel Gion | Kyoto | — | 2 | — |
When Copilot hands out a hotel link, where does it go?
Every URL the AI returned for a named hotel, classified into direct (the hotel's own site), OTA (Booking / Expedia / …), chain page (marriott.com / hilton.com / …), or other. Chain folds into direct in the headline number because chain pages are still brand-controlled.
Week by week. Google is split out of what used to be counted as “other”: a link to google.com from an AI assistant is the assistant keeping the click, which is worth seeing on its own rather than filed under the vaguest available label. Metasearch (trivago, kayak) stays in other — those are third-party marketplaces, not the engine linking to itself. Google is a worldwide figure here; the other lines are scoped to this view.
One note on the other line, because it used to be the least trustworthy series here. “Other” is every link we cannot place as the hotel’s own site, an OTA, a chain page or Google — so it is partly a measure of our own coverage, not only of engine behaviour. It previously showed a band of 45–65% between 08 June and 27 July that we could not explain. That band was a bug on our side, and it is now fixed. Google AI Mode returns hotel websites as bare domains (ritzcarlton.com) rather than full URLs, and the query that derives the domain for classification expects a scheme — so 16,194 perfectly classifiable links, every one of them AI Mode, were counted as “other” purely for lacking an https://. Those URLs have been normalised, the ingest no longer stores them scheme-less, and every week has been rebuilt: other is now 3.5% across all engines and weeks, and the band is gone. Read direct and OTA as behavioural; still read a move in other as measurement first.
Weeks with no classified links are omitted rather than drawn as zero — a missing run and a genuinely zero week look identical on a chart, and only one of them is a finding. Link volume per week: 05-04 2 · 05-11 29 · 05-18 32 · 05-25 20 · 06-01 27 · 06-08 31 · 06-15 28 · 06-22 25 · 06-29 27 · 07-06 28 · 07-13 9 · 07-20 28 · 07-27 32 · 08-03 20 · 08-10 30 · 08-17 26 · 08-24 33 · 08-31 54 · 09-07 24 · 09-14 34 · 09-21 16 · 09-28 32 · 10-05 35.
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 princehotels.co.jp 50% · parkhoteltokyo.com 29% · en-hotel.com 21% | 37.3% | 63 |
Chain hyatt.com 48% · aman.com 28% · ritzcarlton.com 24% | 32.5% | 55 |
Other prestigia.com 40% · park-hyatt.hotels-tokyo-jp.com 30% · tripbirdie.com 30% | 17.2% | 29 |
OTA & Aggregator booking.com 50% · agoda.com 25% · orbitz.com 25% | 4.7% | 8 |
Community myboutiquehotel.com 100% | 3.0% | 5 |
Editorial forbestravelguide.com 50% · thebrokebackpacker.com 25% · thehotelguru.com 25% | 2.4% | 4 |
Review Site tripadvisor.co.uk 33% · tripadvisor.com 33% · tripadvisor.com.mx 33% | 1.8% | 3 |
Social Channel pinterest.com 100% | 1.2% | 2 |
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.
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 · 09-14 84 · 09-21 81 · 09-28 86 · 10-05 92.
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.
| # | Brand | Mentions | Hotels | W/W | |
|---|---|---|---|---|---|
| 1 | IHG | 4 | 2 | ↑ 100.0% | |
| 2 | Marriott | 3 | 2 | ↑ 50.0% | |
| 3 | Aman | 3 | 1 | ↑ 50.0% | |
| 4 | Shangri-La | 3 | 1 | ↑ 50.0% | |
| 5 | Hyatt | 2 | 2 | — | |
| 6 | Peninsula | 2 | 1 | · 0% | |
| 7 | Hilton | 1 | 1 | ↓ 50.0% | |
| 8 | Four Seasons | 1 | 1 | · 0% | |
| 9 | Mandarin Oriental | 1 | 1 | ↓ 66.7% |
Of the hotels named this week: how many resolved to a chain (Marriott / Accor / …), an independent property, a vacation rental, or stayed unmatched.
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.
Does Copilot send people to Reddit and YouTube?
Share of answers citing at least one Reddit thread or YouTube video, week by week. Worldwide.
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.
Latest week (2026-10-05): 0 of 1,232 answers cited Reddit (0.0%), 0 cited YouTube, across 4,828 citations.