Nicolas Sitter
Still in beta. Spot something off or have ideas? Send me your feedback — DM on LinkedIn or email. Bugs forward 🙏
Live · refreshed weeklyUpdated September 21, 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 Gemini 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 of the week — Gemini

Hotels Gemini talked about most this week, with week-over-week movement. Filtered to Gemini only — switch tabs to compare across models.

Hotel of the Week
9 mentions
Ha Noi

Most-mentioned hotel by Gemini this week.

Top 20 hotels by Gemini mentions — week of September 21, 2026
#HotelCityChainMentionsW/W
1Peridot Grand Luxury Boutique HotelHa Noi9 2
2The Taj Mahal Palace, MumbaiMumbaiTaj8 2
3Bellagio Hotel & CasinoLas Vegas7 4
4Four Seasons Hotel SydneyThe RocksFour Seasons7 3
5Shangri-La SydneyThe RocksShangri-La7 6
6The Langham Gold CoastSurfers ParadiseLangham7 3
12Marina Bay Sands Singapore10 Bayfront Ave6 2
13Matterhorn FOCUS Design HotelZermattDesign Hotels6NEW
14MGM GrandLas Vegas6 2
15Novotel Miami BrickellMiamiAccor6 1
16Novotel Phuket City PhokeethraAmphur MuangAccor6
17Otivm HotelRome6NEW
18Pullman Dubai DowntownDubaiAccor6 4
20The Cosmopolitan of Las VegasLas Vegas6 1
19Sofitel Auckland Viaduct HarbourAucklandAccor6 1
7Athina Luxury SuitesFira6 5
8Four Seasons Hotel MumbaiMumbaiFour Seasons6NEW
9Hilton Beijing WangfujingDongchengHilton6 2
10Iberostar Selection CancúnCancúnIberostar6 4
11InterContinental Marine Drive-Mumbai by IHGMumbaiIHG6 2
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 Gemini pulls hotel information from

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

OTA & Aggregator
24.8% (83)
Other
19.7% (66)
Editorial
17.3% (58)
Independent Hotel
17.3% (58)
Community
7.5% (25)
Hotel Directory
3.6% (12)
Review Site
3.3% (11)
Meta-search
2.4% (8)
Chain
1.8% (6)
Government / DMO
1.5% (5)
Social Channel
0.9% (3)
Top categories
OTA & Aggregator
24.8%83
Other
19.7%66
Editorial
17.3%58
Independent Hotel
17.3%58
Community
7.5%25
Hotel Directory
3.6%12
Review Site
3.3%11
Meta-search
2.4%8
Chain
1.8%6
Government / DMO
1.5%5
Social Channel
0.9%3
Has that changed over time?
20 weeks · 2026-04-272026-09-21

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.

EditorialOTAOtherIndependent hotelCommunityChainDirectorySmaller categories
0%10%20%30%searchviewer04-2705-1806-0806-2907-2008-1008-3109-21

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: 04-27 486 · 05-04 254 · 05-11 3,961 · 05-18 4,314 · 05-25 4,478 · 06-01 3,350 · 06-08 7,990 · 06-15 877 · 06-22 2,538 · 06-29 3,936 · 07-06 4,014 · 07-13 4,671 · 07-20 4,203 · 07-27 5,282 · 08-03 5,086 · 08-10 4,994 · 08-17 4,086 · 08-24 2,489 · 08-31 3,880 · 09-21 335.

TOP DOMAINS

Which domains Gemini pulls most — no longer answerable

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

Top domains is discontinued for Gemini — not zero

From the run of 2026-09-07, Gemini stopped returning citations — the field came back empty rather than wrapped. Checked on the wire rather than inferred from our own count: the raw response carried a few hundred URLs per answer across five hosts, every one of them Google’s own (googleusercontent, gstatic, google.com), and not a single publisher domain. Two full weeks came back at exactly zero. It has since partly returned: on 21 September, 4.1% of answers (51 of 1,232) carried citations again, naming real publishers — Expedia, Booking, The Hotel Guru, Oyster — with no Google in them. That is far too thin to rebuild a domain breakdown on, so this stays withheld until it holds, but the series is no longer flatly dead. 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. Gemini’s brand and hotel data below is unaffected — those come from mentions, not citation domains.

REDDIT & YOUTUBE

Does Gemini 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 Gemini cite Reddit or YouTube?
19 weeks · 2026-04-272026-08-31

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

RedditYouTube
0%10%04-2705-1806-0806-2907-2008-1008-31
The line stops at 2026-09-07 on purpose. From that week Gemini routes its cited sources through a wrapper instead of naming the publisher, so a Reddit or YouTube count can only come out as zero whatever it actually cited. Continuing the series would draw a collapse that belongs to the measurement, not to Reddit. It counted 0 citations that week — the denominator survived; the attribution did not.
BRANDS

Top hotel parent groups by Gemini mentions

Each Gemini 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
1Shangri-La1227+125%
2Design Hotels511+120%
3Mandarin Oriental1120+82%
4Wyndham1119+73%
5Taj1727+59%
Losers
biggest WoW drops
1Minor2625-4%
#BrandMentionsHotelsW/W
1Marriott161106 14.2%
2Accor11666 36.5%
3Hilton8556 3.7%
4IHG7841 16.4%
5Hyatt7640 35.7%
6Four Seasons5425 20.0%
7Radisson3520 16.7%
8Taj279 58.8%
9Shangri-La2711 125.0%
10Minor2513 3.8%
11Mandarin Oriental2010 81.8%
12Wyndham1919 72.7%
13Langham165· 0%
14Meliá159 15.4%
15Kempinski157 50.0%
16Design Hotels112 120.0%
17Barceló104 42.9%
18Huazhu94 350.0%
19The Hoxton86 11.1%
20Loews73 133.3%
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.

Chain39.4% 23.7%
Independent59.7% 15.5%
Vacation rental0.0%
Unresolved0.8% 72.1%
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