AI visibility for hospitality
Travellers have stopped searching. They've started asking.
When someone asks an AI model where to stay, it names three or four hotels. There is no page two. If your property is not in that answer, it was not ranked low — it was not considered. And nothing in your analytics will ever tell you it happened.
The shift
Hotel discovery moved somewhere you cannot see
Three numbers explain why this stopped being a future problem.
The framework
CITED
Five components. Every piece of work we do sits under one of them.
Crawlability
Whether AI systems can read your site at all. A surprising number of hotel sites block AI crawlers entirely — usually by accident, through a setting nobody chose deliberately.
Identity
Whether machines can resolve what your property is. Structured data, entity records, and consistency of name and address across every surface that carries them.
Trust
Whether independent sources confirm it. Reviews, tourism boards, guides and collections — the places a model treats as neutral.
Expression
Whether your content can be extracted. "Superbly located" is unusable. "Twelve minutes' walk from Waverley Station" can be quoted.
Distribution
Whether you exist in the places models look. Maps, directories, forums and tourism boards — much of it free, most of it unclaimed.
Applied per property
A forty-property group is forty entities in every system that matters. We work each one — not the group brand.
See the framework in detail →
Why a specialist
Hospitality is the whole firm
Not an agency with a few hotel clients. Every client, every query library, every framework, every hour of delivery is hospitality.
That matters for a specific reason. A hotel group is not one brand — it is forty properties, each a separate entity with its own listings, reviews and local context. Optimising the group brand does very little for the property in Manchester that is not appearing.
The work is also unusually shaped. Roughly half of it is per-property volume: listings, citations, entity records, tourism board registrations, review corpora. Multiply that across forty properties and it becomes work most agencies cannot price and quietly deprioritise.
And the language
Written for commercial teams
A commercial director does not want to hear about visibility. They want to know what this does to channel mix, and what it costs to acquire a direct booking against an OTA one.
Our reporting is one number, one page, monthly — built so it can be taken into a board meeting without translation.
What we never touch
Rates, availability, parity, commission structures or channel strategy. That is your revenue team's territory and it stays there. We publish our boundaries because nobody else in this category does.
Evidence
Case study
Multi-property group India · Mid-market
A 129-hotel group, measured across four AI engines
An asset-light Indian hotel group operating across 70+ destinations under multiple international franchise brands. We baselined Share of Model across a representative property sample, identified where the group's entity signal was fragmenting between brand names, and mapped which sources were producing citations for competitors.