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All guidesAI search optimization for hotels AI Search for HotelsThe big picture — 4-step framework AI Visibility for HotelsAEO + GEO, 5 pillars, 8-step checklist ChatGPT Optimization12 systems, 7 data providers Google AI ModeWhere hotel clicks go Schema MarkupJSON-LD for hotels Prompt TrackingMeasure the spread, not the rank How AI Retrieval WorksThe mechanism under GEO Do Visibility Scores Matter?Not a booking — but a leading indicator

All projectsEverything, searchable L'Étape du Tour 202612,690 riders, every split Marathon de Paris 202657,516 finishers, 5k splits Semi de Paris 202649,281 finishers, 5k splits AI Hotel LandscapeLive weekly hotel AI data My AI VisibilityTracking my own niche, in public

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AGENTIC|

llms.txt
llms-full.txt
posts.json
rss.xml
sitemap.xml
robots.txt

Club

A.S. Fontaine

1 rider at the start · 0 classified · best time —

Club ranking

#	Rider	Time	Gap	Overall
—	Mayliss BONNACE#10219 · W1F	DSQ		—

Nicolas Sitter

Tech enthusiast, currently deep in the hotel space. Running experiments on SEO, AI search, web structure, and new ecosystems.

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AI Hotel Landscape 2026
Google Maps Data Quality
ChatGPT Data Sources
Google AI Mode Study

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/llms.txt (Identity)
/llms-full.txt (Extended)
/api/posts.json (API)
/api (Data & API docs)
/rss.xml (Feed)
/sitemap.xml (Map)

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