We built the tool we always needed and never had.

Brand discovery has quietly changed hands. The question your customers used to ask a search engine, they now ask an AI — and the AI doesn't return ten links, it returns one answer. Your brand is either in that answer or it doesn't exist for that customer, and most marketing teams have no idea which.

That's the visible half of the problem. The invisible half is older: even when brands can see their mentions — in AI answers, in search, in social — they can't see what caused them. Dashboards are full of what happened and empty of why. Teams keep spending on visibility they can't trace, because every tool measures presence and none measures cause.

We didn't find this problem in market research. We lived it as operators — running the brands, the properties, and the campaigns, sitting in the meetings where someone asks “what did that spend actually do?” and nobody in the room, or in the toolstack, has an answer. Vendors build for the questions that are easy to dashboard. Operators know which question decides the budget.

So we built BIU as one system instead of four: AI and search visibility, brand reputation, and social intelligence — consolidated onto a single attribution spine that connects what your brand did to what showed up. Not another monitoring dashboard. A causal layer under all of them.

BIU is built for the age of AI — but it runs on the fundamentals that have always grown brands. Share of voice, salience, distinctiveness, attribution: none of that changed. What changed is the arena where it plays out. We didn't throw out the marketing science; we rebuilt the instruments for where your customers actually are now.

We've spent our careers building brands — across sports, consumer products, and the technology underneath them. That's how we knew what problem to solve.