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. Almost every hour of delivery sits under one of them.
Crawlability
Whether AI systems can read your site at all. Some hotel sites block AI crawlers outright, usually by accident, through a content delivery network setting nobody chose deliberately. We publish the measured rate once our sample is large enough to be worth quoting; until then we will not put a figure on it.
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 →
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 very few firms in this category do.
Why a specialist
Hospitality is the whole firm
Not an agency with a few hotel clients. Every query library, every framework and every hour of delivery is hospitality.
That matters for a specific reason. A hotel group is not one brand — it is eight properties, or forty, or a hundred and twenty — each a separate entity with its own listings, reviews and local context. Optimising the group brand does very little for the one property in Manchester that is not appearing.
The work is also unusually shaped. Roughly 40% of it is per-property volume: listings, citations, entity records, tourism board registrations, review corpora. Multiply that across a portfolio of any size and it becomes work most agencies cannot price and quietly deprioritise.
The register
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.
Evidence
What the measurement revealed
Multi-property group India · Mid-market
A multi-brand group, measured across four AI engines
An asset-light Indian hotel group operating across dozens of 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.
Five questions. Four engines. What came back.
We will run five questions a guest would realistically ask about your market, across four AI models, and send you exactly what came back — with screenshots. No cost, no obligation, no meeting required.