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Home / Benchmarks / Best Hotels in AI Search
Benchmark

Best Hotels in AI Search

Monthly rankings of which hotels and hospitality brands get cited and recommended across ChatGPT, Perplexity, Gemini, Google AI Overview and AI Mode when travellers, luxury advisors, and corporate buyers ask AI for the best property for their trip, occasion, or business need., research programme.

Get your Hotel Recommendation Score How we measure
, research programme 6 hotel categories 3 AI engines
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Why this benchmark matters

AI now shapes which hotel travellers and
corporate buyers consider booking.

A recurring view of which hotels appear across defined AI travel buying journeys and the evidence patterns surrounding those recommendations.

A traveller planning a honeymoon opens ChatGPT: “What is the most romantic resort in the Maldives?” A corporate travel manager searches Perplexity: “Best business hotel in Dubai for a team of 30 executives?” The properties that appear get the enquiry. Those that do not are invisible.

How we measure
Sample buyer queries
“Best luxury hotel in Dubai for business travel”
“Most romantic boutique hotel in Paris”
“Top family resort in the Maldives”
“Best hotel near Canary Wharf London”
“Most highly rated wellness resort Bali”
“Best eco-resort Costa Rica”
“Top design hotel Barcelona”
“Best hotel for a corporate offsite Singapore”
“Most luxurious beach resort Maldives”
“Best five-star hotel in Marrakech”
“Top boutique hotel for a weekend break in Edinburgh”
“Best hotel for business travellers in New York”
280480 query variants per engine · 20 runs per query · 3 engines per hotel category
Luxury Hotels, Global, June 2026 Forthcoming ChatGPT Google AI Perplexity
#BrandGPTGooglePerplexityScore
1Four Seasons Hotels & Resorts959392
93 ↑ 2
2Marriott International908887
88 →
3Hilton Hotels & Resorts848281
82 ↑ 3
4Jumeirah Group797776
77 ↑ 5
5Mandarin Oriental Hotel Group737170
71 →
6IHG Hotels & Resorts676564
65 ↓ 1
Showing 6 of 60 · June 2026 See full benchmark →
Hotel categories covered

Six hotel categories, forthcoming
when the benchmark publishes.

Each category has its own buyer intent prompt battery reflecting the specific questions travellers and buyers ask for that hotel type.

Luxury hotels
Global, Dubai, London, New York, Paris
Forthcomingmapped prompts/engine
Boutique and lifestyle hotels
UK, Europe, Asia
Forthcoming360 prompts/engine
Business hotels
Dubai, Singapore, London, New York
Forthcomingmapped prompts/engine
Resort and leisure hotels
Maldives, Bali, Caribbean, Mediterranean
Forthcoming360 prompts/engine
Eco and sustainable hotels
Costa Rica, New Zealand, Scandinavia
Forthcoming280 prompts/engine
Wellness and spa hotels
Global, Southeast Asia, Alps
Forthcoming280 prompts/engine
Preview ranking format

What the Hotel benchmark will look like
when it launches, Q4 2026.

Luxury Hotels, Dubai Live data
#Hotel or ResortStatus
1Hotel Brand A (Luxury Dubai)Forthcoming
2Hotel Brand B (Boutique London)Forthcoming
3Hotel Brand C (Resort Maldives)Forthcoming
4Your property?Now tracked
Claim your spot in this ranking
What gets hotels cited by AI

Four signal types that predict
AI citation for hotels and resorts.

Luxury travel media and awards
Mentions in Condé Nast Traveller, Forbes Travel Guide star ratings, Relais and Chateaux membership, and Travellers Choice awards are the strongest AI citation predictors for luxury hotel queries.
TripAdvisor and review platform ranking
TripAdvisor Travellers Choice, Booking.com score, and Google Reviews star rating with recent review velocity are foundational hotel AI citation signals across all query types.
GDS and OTA listing completeness
Accurate Global Distribution System codes, complete OTA amenity data, and correct category coding on Booking.com, Expedia, and Hotels.com generate authority signals AI engines aggregate.
Occasion specific structured content
Hotels with dedicated pages for honeymoon, business offsite, family stay, and wellness retreat are cited significantly more often in occasion specific queries than those with only a generic property page.
Get your Hotel AI Revenue Gap analysis Score
when rankings launch in Live.
Get started members get their first score free and priority placement in the first Hotel benchmark.
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What this ranking does and does not mean

Recommendation presence is not proof of quality.

Cited does not treat recommendation frequency as an indicator of which brand is best. We find the gap between what customers say and what AI recommends — and measure what that costs in bookings.

A brand appearing consistently in AI answers may have strong structured evidence, a well indexed public profile, or simply more content surface area. A brand absent from AI answers may have equally strong, or stronger, customer evidence that is not yet reaching AI in a structured form. That gap is what Cited investigates.