9 guides. Read in order, or jump to the one you need.
Each guide is a structured path through our research: what the data says, what to do about it, and where to go deeper. Evergreen, revised as things change, free to read without an email.
Start here
The two guides that frame everything else.
AI Visibility
What ChatGPT, Google AI Mode and Perplexity actually recommend, why they disagree with each other, and what the research shows about who gets named.
Hotel SEO
Hotel SEO is different: you compete with Booking.com's domain authority, not just other hotels. The data-backed guide: SERP ownership, brand defence, AI.
The AI era
Where discovery is moving, and how to be readable to the machines doing the answering.
Measuring AI Visibility
The metrics that mean something, the method behind them, and how to tell a defensible AI visibility score from a vanity number.
Generative Engine Optimization
The practical playbook: making your site readable to AI crawlers, making your listings agree, and becoming a source an assistant can cite.
Your channels
What the outside world says about you, and how to make it agree.
OTA Listings
Your listings are a shopfront and a reference document. What happens when your channels disagree, with each other and with your own site.
Reviews & Reputation
How to read your review standing against a competitive set, per platform and per guest segment, and why blended scores mislead.
Social Benchmarking
How to benchmark hotel social performance fairly against competitors of different sizes, what to measure beyond followers, and why most benchmarks fail.
Demand and revenue
Reading the market early enough to act on it.
Demand Intelligence
How to read travel demand before it becomes bookings: search-demand signals, feeder-market economics, booking windows and planning cycles, with market data.
Direct Bookings
The distribution playbook for independent hotels: how travellers discover hotels, how OTA ranking and commissions work, and where SEO and paid search fit.
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