Bayesian & Priors is a marketing measurement platform that answers two questions no one else is measuring together: is your marketing spend actually working, and is AI recommending
your business?

Every platform over-reports its own contribution. Multi-touch attribution is dying with cookies. Marketers are spending real money on gut feel dressed up as data. We fix that.

We use Bayesian econometric modeling -- the same math the best enterprise data science teams use -- to give you channel-by-channel ROI with confidence ranges, not single numbers
that pretend certainty exists. Our models account for diminishing returns, carryover effects, and seasonality. They get smarter every quarter as new data comes in. The result: you
know where your next dollar works hardest before you spend it.

And we measure something no one else does.

Half of Google searches now show an AI answer instead of a list of links. When AI recommends a business, those referrals convert at 9x the rate of traditional search. But almost
nobody is measuring whether AI recommends them, which platforms do it, or what drives that recommendation.

We built a 10-gate assessment framework to measure exactly that. We call the discipline Assistive Agent Optimization (AAO). It evaluates your visibility across ChatGPT, Google AI
Overviews, Perplexity, and Gemini -- because each platform has different selection criteria and only 11% of domains are cited by more than one.

Two measurement problems. One platform. Not another dashboard; a decision engine.

Measure What AI Recommends.

Bayesian & Priors

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Bayesian & Priors

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