Be the brand AI recommends in your space.

Our take

In our hotel sweeps the same few properties win every generic question while dozens of comparable hotels never appear, because AI assembles its shortlist from Booking, TripAdvisor and the guides it trusts, not from hotel websites. A property gets in by giving those sources and the models something answer-shaped to quote: one page per guest question, an entity that reads the same everywhere, and mentions on the lists AI already cites for its city.

Our take

Elective treatment is an entity-trust game. In our clinic work the ceiling on AI recommendation is set by how cleanly the model can resolve who you are: one consistent name, address and phone everywhere, real review sentiment, and treatment pages that answer the question rather than sell the service. Get that right and the payoff is disproportionate, AI referrals converted about six times higher than Google organic in our own client data.

Our take

In our restaurant work the fastest wins do not come from more ad budget, they come from answer-shaped menu, dietary and dining-occasion pages that AI can read and quote. One local restaurant we worked with doubled delivery orders in three months with no paid-platform spend, purely by becoming the answer AI gives.

Our take

For marketplaces, AI intent sits at the bottom of the funnel: people ask it to find someone they can trust, then act. In our work, the levers that move it are trust signals AI can verify (reviews, profiles, mentions) plus crawlable supply so the model surfaces your real inventory. One platform we worked with landed its first AI-sourced paying customer on day 38.

Our take

The pattern we see in travel is a named-versus-generic gap: AI understands a brand correctly when asked by name, but recommends competitors for the query that actually wins customers, the best operator for a group trip to X. It is almost always a content-framing problem: catalogue-style product listings instead of answer-shaped destination and buyer-journey content. Close that, and disambiguate the brand entity, and the generic queries start to turn.

Our take

We swept fourteen real player questions across Dubai's padel market and the pattern was stark: well-known venues were absent from questions their direct rivals won, including questions they would obviously win in real life. Clubs with full climate control were missing from the air-conditioning question because nothing quotable on the open web says so. The other half of the pattern is who gets cited: in our September sweep, half of the sourced answers cited one club's own website. That club publishes. The rest do not.

Our take

The agencies we work with do not want another tool, they want a deliverable they can put their logo on and defend in a client meeting. So we run the prompt set, the content and the monitoring, and the agency keeps the relationship and the reporting. The uncomfortable part is that a one-off AI audit does not renew: the value shows up when the same prompt set is measured every month and the client watches a number move.