AI Hotel Ranking · New York City
When travelers ask ChatGPT where to stay in New York, which hotels does it name?
A standing census of what AI actually recommends — the hotels ChatGPT surfaces for real guest questions, ranked overall and by neighborhood. Not our opinion: the engine’s own answers.
- 657+
- NYC hotels tracked
- 87
- guest questions asked
- 242
- hotels ChatGPT named
- 1
- engine (ChatGPT)
Updated August 6, 2026 · ChatGPT with web search
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The ranking
Pick a board and a metric. Percentages are how often ChatGPT names a hotel across the relevant questions — placement, not a score we assign.
Overall — all NYC · 55 hotels ChatGPT names · based on 88 answers to guest-style questions. Placement rate = share of those answers that name the hotel.
Where ChatGPT looks
Every recommendation is built from sources the engine cites. Here's the mix behind the New York answers — and how often it reaches a hotel's own website versus an OTA.
What kind of source ChatGPT cites
- 59.7%Hotel's own site
- 17.4%Guides & listicles
- 7.1%Other
- 6.1%Media & editorial
- 4.1%Review sites
- 2.2%OTAs (Booking, Expedia…)
- 2%Transit & airports
- 1.2%Reference (Wikipedia…)
Most-cited sources
- marriott.com10.2%
- hyatt.com7.1%
- Time Out6.5%
- hilton.com6.1%
- MICHELIN Guide4.7%
- Condé Nast Traveler3.9%
- Tripadvisor3.9%
- ihg.com2.4%
- Forbes Travel Guide1.9%
- NYC Tourism1.4%
- 1hotels.com1.2%
- fourseasons.com1%
Questions
What does this ranking actually measure?
It measures the AI engine, not the hotel. We ask ChatGPT the questions real travelers ask — 'best hotels in NYC', 'where to stay in Williamsburg' — and record which hotels it names and how it ranks them. A hotel's placement rate is the share of those answers that name it.
Why percentages instead of raw numbers?
A placement rate — 'named in 41% of relevant answers' — is comparable across boards and honest about coverage. We publish the percentage and the ordinal position, and keep the underlying sample sizes and confidence intervals on the methodology page.
How is a neighborhood board different from the overall board?
The overall board reflects citywide questions ('best hotels in New York'). A neighborhood board reflects the questions for that area ('hotels in Williamsburg'). A hotel appears on a board because ChatGPT names it for those questions — not because of how we tagged it.
Which AI engine is this?
ChatGPT with web search, today. Each engine answers differently, so we never blend engines into one score — other engines will get their own boards as we add them.
My hotel isn't listed. What does that mean?
It means ChatGPT didn't name your property for these questions in this run — the most common reason a hotel loses AI-driven bookings. Run a free scan to see exactly where you stand and why.
How often does it update?
The census re-runs on a regular cadence; every board is stamped with the run it came from. Figures are a snapshot of what the engine said at that time, not a permanent verdict.
Do you rank your own customers?
No. Sigtrip customers are recorded and excluded from placement, and a set of hotels is held out entirely to validate the method. See the methodology page for the full disclosure.
How we measure this — the questions, the sample sizes, the confidence intervals, and what we exclude — is fully documented.