Research

AI Hotel Research

Data-driven studies on how AI search recommends, ranks, and cites hotels — plus the cross-industry AI-search infrastructure methodology behind them. All research is open and independently published.

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GuideBuilt on 30+ of these studies

AI Search for Hotels — the complete guide

How your hotel gets found, recommended, and cited by ChatGPT, Google AI, Gemini, Perplexity, and Claude — and exactly what to fix first.

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AI Hotel Landscape — live weekly data

Refreshed every Monday from 616 prompts across 56 destinations. Brand leaderboards, source mix (OTA vs direct), per-AI breakdown, sponsored ads — watch how recommendations shift week over week across ChatGPT, Gemini, Perplexity, Grok, Copilot, and Google AI Mode.

3 results

MethodologyAugust 2026

Raw-Stream Hidden Signals

What ChatGPT actually sends, and doesn’t

141 ChatGPT citation-competitor groups0/146 ChatGPT brand priors0/146 ChatGPT model escalation

MethodologyAugust 2026

How many apps are there in Claude and ChatGPT?

The first-party census: 1,735 ChatGPT apps, 1,375 Claude connectors, and a travel vertical instrumented end to end

1,735 ChatGPT apps (anon, FR)1,375 Claude connectors5% Registry-store overlap

MethodologyJuly 2026

The Cost of AI Crawling

119,609 AI-bot hits, an OpenAI/Claude duopoly, and a log table that ballooned to 5.6 GB

119,609 AI-bot requests81% OpenAI + Claude5.6 GB One log table