The Playbook
How AI recommends hotels — and what to do about it.
A working archive of research, fundamentals, and measurement — for hotel marketing teams who want to be found in the age of AI.
Featured research
AI Has a Luxury Bias
Luxury hotels achieve 91% visibility in AI recommendations. Midscale drops to 36% — the lowest tier in the study. The pattern is consistent across every engine we tested.

Where AI Gets Its Hotel Recommendations
Each AI engine trusts different platforms — and the sources shift dramatically by language. From 2.5M+ data points across 8 AI engines.
The APAC Series
Findings from 20 cities, 4,196 hotels, and 8 languages of original research.

Why Hotels Are Missing From AI Travel Recommendations
41% of hotels in our APAC study are invisible to at least one AI engine. Here’s why — and what the 59% are doing differently.

Why AI Speaks Different Languages Differently
Same city, different language, completely different hotel recommendations. Our 8-language study on why source-market analysis matters.

TripAdvisor’s Outsized Role in AI Hotel Recommendations
One platform dominates AI citations more than any other. But the relationship is engine-specific — and the implications differ by market.

Why Your Hotel Needs Reviews on Every Platform, Not Just One
AI engines each draw from different sources. Single-platform review strategies leave visibility gaps that compound over time.

The Invisible Hotel Profile
What makes a hotel invisible to AI — the risk factors and protective factors that determine visibility, drawn from our APAC dataset.
The Playbook publishes occasionally. Pulse publishes weekly.
Weekly intelligence briefing on AI + hospitality — curated news with our commentary on what it means for hotel marketers. Included with every paid subscription.
How AI Chooses Hotels
How AI engines actually work — and what makes them surface you (or not).

What Is GEO for Hotels?
A clear definition of Generative Engine Optimization and why it matters for hotel discovery in the age of AI.

SEO vs AEO vs GEO for Hospitality Brands
How search engine optimization, answer engine optimization, and generative engine optimization compare — and which you actually need to care about.

The Content AI Engines Actually Use From Your Website
AI engines lift fragments from your website into recommendations. Most hotel websites aren’t structured for this. What to fix, and where to start.

AI Sends Guests to OTAs, Not Your Website
When AI recommends a hotel and the guest asks where to book, OTAs are mentioned 3x more than hotel websites. What to do about it.
Measurement
Stop measuring noise. Here’s what matters — and how to track it.

Why Your AI Rankings Don’t Mean What You Think
A single AI ranking is noise. Mention rate across 147 prompts, 8 AI engines, and 8 languages is signal. Here’s how to measure what actually matters.

Your Hotel Might Be Invisible — Only for the Wrong Questions
Different questions surface completely different hotels. Niche queries are an untapped opportunity most hotels miss entirely.
About the Playbook
The Playbook is BlindSpot’s public research archive — free to read, no signup, no gate. Every article draws on our proprietary APAC AI Visibility study: 4,196 hotels across 20 cities, tested on 8 AI engines in 8 languages.
We publish when we have something worth publishing. For weekly intelligence on AI + hospitality — curated news with our commentary — subscribe to BlindSpot Pulse.