Nicolas Sitter
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Weekly until 19 Oct 2026, monthly from November 2026November 2026 edition

AI Hotel Landscape

How leading AI assistants recommend hotels: 616 prompts across 56 destinations, a monthly edition checked before it is published.

Data is directional. Some prompts retry due to upstream variance, so absolute counts can shift ±5% between editions.
PROMPTS

The 616 prompts we ask Google AI Mode each edition

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 edition.

  • 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 of the week — Google AI Mode

Hotels Google AI Mode talked about most in this edition, with movement against the previous edition. Filtered to Google AI Mode only — switch tabs to compare across models.

Most-Mentioned Hotel
6 mentions
The Taj Mahal Palace, Mumbai
Mumbai

Most-mentioned hotel by Google AI Mode in this edition.

Top 20 hotels by Google AI Mode mentions · November 2026 edition
#HotelCityChainMentionsvs prev.
3The Taj Mahal Palace, MumbaiMumbaiTaj6↑ 4
2The Fullerton Bay Hotel Singapore80 Collyer Quay—6—
1Park Hyatt SydneyThe RocksHyatt6↑ 2
6The Ritz-Carlton, TorontoTorontoMarriott5↑ 1
5The Central House Marrakech MedinaAmssafah 32، Marrakech—5NEW
4Courtyard by Marriott Phuket TownMueang Phuket DistrictMarriott5↑ 4
16Park Hyatt AucklandAucklandHyatt4↑ 1
15Mount Nelson, A Belmond Hotel, Cape TownGardens, Cape TownBelmond4↓ 2
14JEN Singapore Orchardgateway by Shangri-La277 Orchard RdShangri-La4↑ 1
13Hotel ViennaVienna—4↑ 2
12HOTEL HOTELLisbon—4—
22Wynn Las VegasLas Vegas—4↑ 2
10Crowne Plaza Queenstown by IHGQueenstownIHG4↑ 1
9Copacabana Palace, A Belmond Hotel, Rio de JaneiroRio de JaneiroBelmond4↑ 1
8CERVO Mountain ResortZermatt—4↑ 3
7Anantara Convento di Amalfi Grand HotelAmalfiMinor4↑ 3
11Eichardt's Private HotelQueenstown—4↑ 1
21Villa Bangkok HotelPhra Nakhon—4NEW
20The Silo HotelVictoria & Alfred Waterfront, Cape Town—4↓ 1
19The Leela Palace, New DelhiNew DelhiLeela4↑ 1
This is the top 20 of this edition, so the change 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 Google AI Mode pulls hotel information from

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

Retrieved-vs-cited is withheld for Google AI Mode in this edition

100% of the URLs we captured were cited in the answer. A ratio that high does not mean Google AI Mode uses almost everything it finds — it means we are no longer seeing what it discards. ChatGPT sat at 24.8% on 10 August, before the retrieval layer stopped coming through. Publishing 97% as selectivity would invert the finding, so the number is withheld rather than shown. The counts below are what was captured, and are unaffected.

Search engine
89.3% (3,030)
Independent Hotel
3.4% (117)
Chain
2.4% (81)
Editorial
1.9% (64)
OTA & Aggregator
1.2% (40)
Review Site
0.7% (25)
Other
0.7% (24)
Community
0.1% (4)
Hotel Directory
0.1% (3)
Social Channel
0.1% (2)
Government / DMO
0.0% (1)
AI Tool
0.0% (1)
Meta-search
0.0% (1)
Top categories
Search engine
89.3%3,030
Independent Hotel
3.4%117
Chain
2.4%81
Editorial
1.9%64
OTA & Aggregator
1.2%40
Review Site
0.7%25
Other
0.7%24
Community
0.1%4
Hotel Directory
0.1%3
Social Channel
0.1%2
Government / DMO
0.0%1
AI Tool
0.0%1
Has that changed over time?
18 weeks · 2026-04-27 → 2026-08-24

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

Search engineOTAOtherEditorialIndependent hotelSocialReview siteSmaller categories
0%25%50%75%searchviewer04-2705-1105-2506-0806-2207-0607-2008-0308-1708-24

Weekly until 19 Oct 2026, monthly from November 2026

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: 04-27 60 · 05-04 98 · 05-11 9,864 · 05-18 9,994 · 05-25 19,723 · 06-01 22,384 · 06-08 15,191 · 06-15 17,434 · 06-22 17,191 · 06-29 17,717 · 07-06 17,672 · 07-13 19,148 · 07-20 21,941 · 07-27 24,117 · 08-03 26,357 · 08-10 19,967 · 08-17 19,894 · 08-24 20,322.

TOP DOMAINS

Which domains Google AI Mode pulls most — no longer answerable

Google AI Mode stopped exposing publisher URLs in its citations. The breakdown below is withheld rather than shown as a collapse.

Top domains is discontinued for Google AI Mode — not zero

Since the run of 2026-08-31, Google AI Mode routes effectively every cited source through a google.com/searchviewer wrapper and the publisher URL is not present anywhere in the response. There is no publisher to attribute a citation to, so this breakdown would read “google.com 100%, every publisher zero” — which looks like publishers losing visibility and is really the measurement ending. We suppress it rather than publish it. How we decoded the wrapper. Google AI Mode’s brand and hotel data below is unaffected — those come from mentions, not citation domains.

REDDIT & YOUTUBE

Does Google AI Mode 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 Google AI Mode cite Reddit or YouTube?
18 weeks · 2026-04-27 → 2026-08-24

Share of answers citing at least one Reddit thread or YouTube video. Counted from the citation domains, so this measures what Google AI Mode showed as a source — not whether it read them.

RedditYouTube
0%10%20%30%04-2705-1105-2506-0806-2207-0607-2008-0308-1708-24

Weekly until 19 Oct 2026, monthly from November 2026

The line stops at 2026-08-31 on purpose. From that week Google AI Mode routed its cited sources through a wrapper instead of naming the publisher, so a Reddit or YouTube count could only come out as zero whatever it actually used. Plotting those weeks would draw a collapse that belongs to the measurement, not to Reddit.
BRANDS

Top hotel parent groups by Google AI Mode mentions

Each Google AI Mode mention matched against Google Places, then rolled up to parent group (Marriott = Ritz-Carlton + Westin + Sheraton + EDITION + …, etc.). Change vs the previous edition. Detection via 175+ brand-domain rules.

↑ Gainers
biggest gains vs the previous edition
1Taj6 → 13+117%
2Radisson10 → 19+90%
3Minor8 → 11+38%
4Marriott148 → 184+24%
5Hyatt42 → 51+21%
↓ Losers
biggest drops vs the previous edition
1Capella11 → 5-55%
2Kempinski17 → 10-41%
3Accor57 → 45-21%
4Four Seasons40 → 32-20%
5Langham11 → 9-18%
#BrandMentionsHotelsvs prev.
1Marriott184136↑ 24.3%
2Hilton8169↑ 19.1%
3Hyatt5137↑ 21.4%
4IHG4834↑ 2.1%
5Accor4533↓ 21.1%
6Four Seasons3221↓ 20.0%
7Mandarin Oriental2013↓ 9.1%
8Radisson1910↑ 90.0%
9Shangri-La1813↓ 10.0%
10Taj137↑ 116.7%
11Minor116↑ 37.5%
12Kempinski106↓ 41.2%
13Langham95↓ 18.2%
14Belmond93· 0%
15Oberoi73· 0%
16Rosewood64↓ 25.0%
17Barceló64↑ 100.0%
18Leela52↑ 25.0%
19Capella54↓ 54.5%
20Meliá55↓ 37.5%
Chain vs Independent

Of the hotels named in this edition: how many resolved to a chain (Marriott / Accor / …), an independent property, a vacation rental, or stayed unmatched.

Chain35.0%↑ 1.5%
Independent61.7%↑ 3.8%
Vacation rental1.8%↓ 25.0%
Unresolved1.5%↑ 20.8%
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 for this edition. 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.
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