How the score is built

Every brand gets one score out of 100. It combines what actually happens in AI answers (Outcome, weighted 60%) with how well the brand's site is built to be found (Readiness, weighted 40%). Outcome is the result that matters; Readiness is the fixable groundwork that moves it.

We put a standardised set of real buyer questions to the major AI providers and measure, across many samples: how often your brand is mentioned, how often it's actively recommended, and how often your own site is cited. We report each as a rate with a 95% Wilson confidence interval, because AI answers are probabilistic — a single screenshot proves nothing.

We also decompose how you surface: whether the model knew you from training (parametric) or found you by browsing (retrieved). That distinction determines whether a problem is fixable in weeks or months.

We crawl your site for the signals AI systems rely on across seven pillars — crawlability, machine readability, structured data, entity clarity, content coverage, freshness, and agent readiness. Each contributes points toward the Readiness score, and each failing check maps to a concrete fix.

The AVI is a repeatable audit, not a guarantee of AI recommendations. We measure via provider APIs, which can differ from the consumer apps; our prompt set is a benchmark, not the full universe of real queries. We state these limits rather than hide them. Weights are provisional and will be validated against observed outcomes over time.