Nicolas Sitter
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Live · refreshed weeklyUpdated October 5, 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 ChatGPT about Bangkok

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

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

Named hotels in Bangkok — ChatGPT

ChatGPT's top picks specifically in Bangkok, TH. Pick a different destination above, or clear to see worldwide.

Hotel of the Week
3 mentions
Kathu District

Most-mentioned hotel by ChatGPT this week.

Top 20 hotels by ChatGPT mentions — week of October 5, 2026
#HotelCityChainMentionsW/W
54Four Points by Sheraton Phuket Patong Beach ResortKathu DistrictMarriott3—
188Hotel Indigo Phuket Patong by IHGKathu DistrictIHG2↓ 2
153DoublePool Villas by Banyan Tree PhuketPhuketBanyan Tree2↑ 1
150Courtyard by Marriott Phuket, Patong Beach ResortBeachMarriott2—
127Anantara Layan Phuket ResortThalang DistrictMinor2↑ 1
126AmanpuriThalang DistrictAman2—
306The Slate PhuketThalang District—2NEW
284Sri Panwa Phuket Luxury Pool Villa HotelMuang—2—
263Rosewood PhuketKathu DistrictRosewood2—
864Mandarin Oriental, BangkokBang RakMandarin Oriental1↓ 1
854Madi Paidi Bangkok, Autograph CollectionWatthanaMarriott1—
853Mad Monkey PhuketKathu District—1NEW
846Lub d Bangkok ChinatownPhra Nakhon—1NEW
829Le Méridien Phuket Beach ResortMueang Phuket DistrictMarriott1NEW
817La Flora Resort PatongKathu District—1↓ 1
810KUDO Hotel & Beach ClubKathu District—1NEW
769InterContinental Phuket Resort by IHGKathu DistrictIHG1—
755Impiana Resort Patong PhuketKathu District—1—
701Hotel Muse Bangkok, Autograph CollectionPathum WanMarriott1NEW
655Hotel Clover Patong PhuketKathu District—1—
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.
ADS

Sponsored placements in Bangkok

OpenAI is rolling out paid sponsor placements in the US, Australia, New Zealand, and Canada — testing may expand. We detect real single-advertiser ad units (organic shopping cards excluded) and pull the brand.

No sponsored placements detected for Bangkok this week. Ad geo coverage is limited to US / AU / NZ / CA.
SOURCES

Where ChatGPT pulls hotel information from

Every URL ChatGPT 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 ChatGPT this week

100% of the URLs we captured were cited in the answer. A ratio that high does not mean ChatGPT 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.

Other
33.3% (24)
Editorial
20.8% (15)
Review Site
18.1% (13)
OTA & Aggregator
9.7% (7)
Community
8.3% (6)
Hotel Directory
4.2% (3)
Chain
2.8% (2)
Independent Hotel
1.4% (1)
Government / DMO
1.4% (1)
Top categories
Other
bangkokup.com 33% · biirdee.com 33% · familytravelasia.com 33%
33.3%24
Editorial
phuket101.net 40% · thehotelguru.com 40% · cntravellerme.com 20%
20.8%15
Review Site
tripadvisor.com 92% · oyster.com 8%
18.1%13
OTA & Aggregator
booking.com 57% · trip.com 29% · us.trip.com 14%
9.7%7
Community
hotelierschoice.com 67% · hostelworld.com 17% · therooftopguide.com 17%
8.3%6
Hotel Directory
luxuryhotelcompare.com 67% · hotelsforkings.com 33%
4.2%3
Chain
all.accor.com 50% · ihg.com 50%
2.8%2
Independent Hotel
royalphuketcity.com 100%
1.4%1
Government / DMO
visitthailandtoday.com 100%
1.4%1
Has that changed over time?
24 weeks · 2026-04-27 → 2026-10-05

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

OtherReview siteOTAIndependent hotelChainEditorialCommunitySmaller categories
0%20%40%60%searchviewer04-2705-1806-0806-2907-2008-1008-3109-2110-05

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 84 · 05-04 220 · 05-11 9 · 05-18 13 · 05-25 203 · 06-01 437 · 06-08 348 · 06-15 192 · 06-22 174 · 06-29 265 · 07-06 238 · 07-13 122 · 07-20 90 · 07-27 89 · 08-03 106 · 08-10 127 · 08-17 111 · 08-24 70 · 08-31 74 · 09-07 63 · 09-14 42 · 09-21 47 · 09-28 37 · 10-05 38.

REDDIT & YOUTUBE

Does ChatGPT 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 ChatGPT cite Reddit or YouTube?
24 weeks · 2026-04-27 → 2026-10-05

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

RedditYouTube
0%25%50%75%04-2705-1806-0806-2907-2008-1008-3109-2110-05

Latest week (2026-10-05): 1 of 616 answers cited Reddit (0.2%), 0 cited YouTube, across 2,435 citations.

BRANDS

Top hotel parent groups in Bangkok — ChatGPT

Each ChatGPT 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
1Marriott22↑ 100.0%
2Capella11—
3Mandarin Oriental11—
4Four Seasons11—
5Peninsula11—
6Aman11—
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.

Chain49.2%↑ 25.0%
Independent44.3%↑ 8.0%
Vacation rental0.0%
Unresolved6.6%· 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