Research
AI Search & Digital Experiments
Data-driven studies on how AI search, the web, and digital platforms work. Currently spanning hotel-industry studies and cross-industry AI-search methodology. All research is open and independently published.
47 results
AI Citation Throughput in Hotel Search
Retrieved, rejected, cited — live weekly
ChatGPT's result_source for Flights
Flights don't fly on the hotel stack
Where the AIs sent L'Étape du Tour riders to sleep
Bourg-d'Oisans → Alpe d'Huez — an event-anchored lodging test, no towns named
Argentina vs Spain in Paris: the AI restaurant war
A World Cup final head-to-head — France is out, so the AIs pick a side
AI Search for Tattoo Studios in Berlin
Same city, new vertical — the baseline snaps back
AI Search for Bistros in Paris
The guidebook city where restaurant websites disappear
The Cost of AI Crawling
119,609 AI-bot hits, an OpenAI/Claude duopoly, and a log table that ballooned to 5.6 GB
How ChatGPT Pulls Hotel Prices
It scrapes the OTAs, then cites Reddit
ChatGPT's Hidden result_source
How ChatGPT really sources hotel answers
AI Hotel Memory
What chatbots remember with the web off
Are Hotels in Common Crawl?
39% are missing from AI training data
How to Measure AI Hotel Traffic and Bookings
GA4 referrers, branded queries, booking-form prompts, ChatGPT Apps
AI Search for Specialty Coffee in Marseille
When Instagram and local blogs beat café websites
AI Search for Yoga Studios in Berlin
We ran the Paris study again — the engines behaved identically
AI Search for Bike Shops in Amsterdam
The cleanest cross-engine entity consensus in the study
AI Search for Bookstores in Tokyo
Where AI search stops looking Western
AI Search for Yoga Studios in Paris
Same question, a different answer on every AI engine
The ChatGPT Direct-Traffic Explosion for Hotels
May 7, 2026 — daily AI sessions to hotels jumped +62% overnight
The Schema.org Debate
Doesn't feed the LLM. Feeds what the LLM calls. Especially for hotels.
How Mistral Searches Hotels
One Brave call. Snippet paraphrase. No place data.
How Claude Searches Hotels
Default mode → Google Maps. Connectors on → curated OTA picker.
ChatGPT Hotel Ads Are Live
CPC pivot, ads manager, $50K entry — Booking.com still leads at 43.5%
ChatGPT 5.3 Halved Its Hotel Sources
March 5, 2026 cutover — URLs/answer 24 → 12
Hotel YouTube Channels — Activity Study 2026
Only 10.0% of hotels have YouTube; 43.7% are ghost accounts
ChatGPT Hotel Index vs Live Web
83% of cited domains change between modes
How Dirty Is Google Maps Hotel Data?
17% of 179K listings fail quality checks
ChatGPT Hotel Data Sources
Google fell from 100% to 70.3% in 90 days
What Hotel Footers Reveal
Instagram in 40.8%, stale copyrights in 24%
Hotel llms.txt Adoption Study
Only 6.3% have a llms.txt file
Hotel robots.txt & AI Blocking Study
Only 3.3% block any AI crawler
What Hotels Are Actually Called
A naming study of 121,425 hotels
Hotel Schema.org Adoption Study
36.3% of hotels have no schema at all
How Consistent Are AI Hotel Rankings?
Only 50.5% position stability across reruns
Anatomy of a ChatGPT Hotel Search
12 systems, 7 providers, 424 A/B tests
Yelp in ChatGPT: Hotel Data Study
33% Yelp rate in US hotel queries
Google AI Mode: Where Do Hotel Clicks Go?
79% of clicks go to Google Business Profiles
The AI Hotel Landscape 2026
How 6 AI Models Rank 12,500+ Hotels
Do French Hotels Blog?
49.3% have blogs, only 1 in 4 are active
AI Hotel Traffic by Day of Week
Sundays win
Does Language Change ChatGPT’s Hotel Picks?
The hotels shuffle, the sources don’t
How ChatGPT Surfaces Hotel Prices
A date is a detail; “available” is a switch
The Palace Bias
62% palace share in 5-star AI recommendations
Hotel Page Speed Study
Core Web Vitals audit
Location & Language Bias
2 languages, US vs FR compared
AI Fan-Out Query Anatomy
22,518 AI hotel sub-queries decoded
Trust in AI hotel answers
Cross-checked across sources — but mostly anchored on Google Maps
The "fake 1-star" hotel problem
When Google Maps gets the category wrong, AI inherits the error