Taipei · updated Nov 5, 2026

The hotels AIrecommends mostin Taipei

We track how AI recommends where to stay in Taipei and build a database of their queries and citations. Find your hotel to see where it stands.

Overview in Taipei

Answers analyzed829from 5 of 5 AI platforms · 9 runs
Hotels recommended1795.3 hotels per answer on average
Picks held by the top 1057%of 4359 hotel recommendations
Most cited sourcehyatt.comin 70 answers · 474 of 829 answers show sources

Movers

Oct 27 to Nov 5 vs Oct 23 to Oct 26

Climbing

HotelChangeShare now
↑6 pts36%
↑2 pts4%
↑2 pts9%
↑2 pts43%
↑2 pts5%

Falling

HotelChangeShare now
↓4 pts34%
↓3 pts9%
↓3 pts25%
↓2 pts12%
↓1 pts55%

Most recommended in Taipei

179 hotels · 829 answers · All AI · all time
HotelGPTClaGemMetaMuseTrend

How each AI answers

AIAnswersHotels per answerShow sourcesMost recommended
ChatGPT2044.872%Grand Hyatt Taipei 51%
Claude1355.482%Grand Hyatt Taipei 63%
Gemini2025.20%Grand Hyatt Taipei 50%
Meta AI2045.994%Grand Hyatt Taipei 65%
Muse844.530%Grand Hyatt Taipei 50%

Where AI gets its hotel information

Hotel & brand sites 20%Booking sites 29%Guides, media & other 51%
For hotel teams

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We test the traveler questions that matter to your property, show where AI sends guests to book, and walk you through what moves your ranking. Thirty minutes with the founder who runs this research.

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Methodology

We send the same 24 traveler questions to each AI on a fixed schedule: a concert weekend at Taipei Dome, business meetings near Taipei 101, a family weekend with a pool, a romantic weekend, a two-week stay with a kitchen and laundry, and a five-star budget under NT$9,000 a night. Twelve are written as an American visitor flying in, in English. Twelve are written as a Taiwanese traveler coming up from Taichung, in Chinese. Each question starts a fresh chat and asks the AI to ignore saved memories and search the web as it normally would.

We clean the names first. The same property under two names counts once. A name that is not one real property, such as a chain, a platform or a hotel that does not exist, is left out, while its answer stays in the count. A hotel that has closed or has not opened stays, marked as such.

A hotel counts once per answer when the AI recommends it. Hotels it mentions only to rule out are left out, and so are answers where the AI only asked a follow-up question. Share of answers is the share of answers in your selection that recommend the hotel. "#1" counts the answers where AI listed the hotel first, and average position is the hotel's average place in the AI's list when it was recommended.

The period buttons next to Overview set which runs the page counts, and Change and Movers compare that period with the one before it. All time counts every run so far, and its change compares the more recent half of the runs with the earlier half. 7, 14 and 30 days count the runs in that window and compare it with the same number of days before it. Both sides count the same mix of AIs and languages, each weighing its smaller number of answers in the two periods, so an AI that joined partway does not skew the result. The result is in percentage points. "New" marks a hotel recommended in the recent period and not in the one it is compared with.

Muse answers half as many questions as the other platforms and switches between English and Chinese on alternate days. Grok is paused. Names are matched across languages, so 台北君悅酒店 and Grand Hyatt Taipei count as one hotel. Source links are recorded when the AI shows them; Gemini has not so far, and no links were recorded for the Oct 23 run or for ChatGPT on Oct 29. Booking sites are online travel agencies and corporate travel tools; hotel and brand sites are a hotel's own site or its chain's. A recommendation shows what the AI said; it is not a rating of the hotel.

Runs so far: Oct 23, 2026, Oct 24, 2026, Oct 25, 2026, Oct 26, 2026, Oct 27, 2026, Oct 28, 2026, Oct 29, 2026, Nov 3, 2026, Nov 5, 2026. We keep collecting on a fixed schedule, so rankings settle as more answers come in.

QuestionsChatGPTClaudeGeminiMeta AIMuseTotal
English1087210710848443
Chinese9663959636386
Rankings by question language

All questions

Top 25 of 179 hotels AI recommended, from 829 answers.

Asked in English

Top 25 of 136 hotels AI recommended, from 443 answers.

Asked in Chinese

Top 25 of 137 hotels AI recommended, from 386 answers.

Every hotel in every view, by AI and by traveler type: the data as JSON.