Be the brand AI recommends in your space.

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

Healthcare is an entity-trust game. In our clinic work, the ceiling on AI recommendation is usually set by how cleanly the model can resolve who you are: consistent name, address and phone across every platform, real review sentiment, and precise treatment pages. 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

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.