AI Search & Hotel Tech Researcher

Reverse-engineering how AI engines discover, rank, and cite hotel content.

I analyze AI models daily and run hospitality-focused experiments on a database of over 1M prompts, citations, and mentions. All research is open and published here.

Read the Research About Me

Featured Research

The AI Hotel Landscape 2026

How 6 AI Models Rank 12,500+ Hotels Across 1.2 Million Citations

The most comprehensive study of AI hotel recommendations ever conducted. We analyzed how ChatGPT, Gemini, Perplexity, Claude, Copilot, and Grok recommend hotels across major cities worldwide.

Google AI Mode: Where Do Hotel Clicks Actually Go?

4,000 queries84K+ references79% GBP clicks

Anatomy of a ChatGPT Hotel Search

12 systems7 providers424 A/B tests

Hotel Schema.org Adoption: The State of Structured Data

121,425 hotels7 countries36.3% no schema

What Hotels Are Actually Called: A Naming Study

121,425 hotels8 analysis angles7 countries

How Consistent Are AI Hotel Rankings?

4,000 queries50.5% stability8 cities

Do French Hotels Blog? A 15,000-Hotel Study

15,155 hotels49.3% have blogs1 in 4 active

Projects

Coming Soon

Hotel Database

An open database of hotel properties with AI visibility metrics, schema markup status, and more.

Coming Soon

AI Visibility Tracker

Track how AI models recommend your hotel over time. Monitor mentions across ChatGPT, Gemini, and Perplexity.

~$ agent-endpoints --list /llms.txt /api/posts.json /rss.xml /sitemap.xml