Index: EPR Hospitality & Travel Pillar Hub · The Citation Share Index — Everything-PR Research · EPR Luxury Coverage Directory
An EPR Industry Intelligence™ Benchmark
Which Hotel & Travel Brands AI Systems Recommend Most

Index: EPR Hospitality & Travel Pillar Hub · The Citation Share Index — Everything-PR Research · EPR Luxury Coverage Directory
An EPR Industry Intelligence™ Benchmark
Which Hotel & Travel Brands AI Systems Recommend Most
May 2026 — inaugural edition
Travel research increasingly begins inside AI-generated interfaces. The brands answer engines surface in answer to "best luxury hotel in Tokyo," "best honeymoon resort," "best family resort," and similar queries are setting the consideration set before any other touchpoint engages.
The AI Travel Recommendation Index™ measures that surface. This is the inaugural benchmark, intended to be revisited annually with quarterly tracking.
AI travel recommendation is not evenly distributed. It is concentrating around a small set of luxury brands with deep editorial authority, ranking presence, review density, and clear category narratives.
Five findings frame the report:
100 travel prompts were run against Claude Opus 4.7, capturing brands surfaced in default-mode responses. Pure-destination entries were excluded from brand-level counts.
A web-search proxy of 4 strategic prompts was used as a directional indicator of retrieval-engine behavior. Because the proxy uses a smaller prompt set than the Claude run, those results should be treated as directional indicators of retrieval visibility, not full-engine ranking equivalents.
Property-level mentions were consolidated to parent brand. The same parent brand is not double-counted within a single prompt response. Citation Share™ is defined as the percentage of prompts in which a brand appears at least once.
ChatGPT and Gemini are not included in this edition. The methodology is reproducible against those engines and will be incorporated into the 2027 edition.
| Rank | Brand | Appearances | Citation Share™ |
|---|---|---|---|
| 1 | Four Seasons | 39 | 39.0% |
| 2 | Aman | 28 | 28.0% |
| 3 | Mandarin Oriental | 20 | 20.0% |
| 3 | Six Senses | 20 | 20.0% |
| 5 | Cheval Blanc | 18 | 18.0% |
| 6 | Belmond | 16 | 16.0% |
| 7 | One&Only | 15 | 15.0% |
| 8 | Bulgari Hotels | 13 | 13.0% |
| 9 | St. Regis | 12 | 12.0% |
| 10 | Ritz-Carlton | 11 | 11.0% |
| 10 | Soneva | 11 | 11.0% |
| 12 | Rosewood | 9 | 9.0% |
| 13 | Park Hyatt | 8 | 8.0% |
| 14 | Peninsula | 7 | 7.0% |
| 15 | Auberge Resorts | 6 | 6.0% |
| 16 | 1 Hotels | 5 | 5.0% |
| 16 | Como Shambhala | 5 | 5.0% |
| 18 | Capella Hotels | 4 | 4.0% |
| 18 | Tripadvisor | 4 | 4.0% |
| 20 | Singita | 3 | 3.0% |
| 20 | Janu | 3 | 3.0% |
| 20 | Ace Hotel | 3 | 3.0% |
| 20 | Edition | 3 | 3.0% |
| 20 | Canyon Ranch | 3 | 3.0% |
| 20 | Miraval | 3 | 3.0% |
| 20 | Lanserhof | 3 | 3.0% |
| 20 | Kamalaya | 3 | 3.0% |
| 20 | Lindblad | 3 | 3.0% |
| 20 | Booking.com | 3 | 3.0% |
| 20 | Expedia | 3 | 3.0% |
The index shows two different travel visibility systems operating at once. Four Seasons and Aman benefit from long-established prestige and model memory. Six Senses, St. Regis, Belmond, and Cheval Blanc benefit more heavily from current retrieval signals.
The brands present in both layers — Aman and Four Seasons — are structurally advantaged. Brands present only in retrieval are exposed if Claude and ChatGPT remain primary entry points for travelers without active web search enabled.
The AI Travel Recommendation Index™ is published annually by EPR Industry Intelligence™. Quarterly trackers monitor leaderboard movement.
Forthcoming companion benchmarks include the Cruise AI Visibility Gap™, the Wellness Travel AI Visibility Report™, the Luxury Hotel AI Citation Share Benchmark™, and the Tourism Board AI Visibility Index™.
© 2026 Everything-PR. EPR Industry Intelligence™, Citation Share™, AI Travel Recommendation Index™, Travel AI Authority Stack™, and Travel AI Visibility Gap™ are trademarks of Everything-PR.

The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.

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