What goes into the score
- 1.Citation frequency. How often the brand appears across a defined set of target queries.
- 2.Citation quality. Primary source vs. secondary mention vs. brief reference.
- 3.Entity accuracy. Whether the AI describes the brand correctly, with the right services, location, and positioning.
- 4.Share of voice. How the brand stacks up against named competitors in the same answers.
- 5.Engine coverage. Visibility across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews, weighted by audience.
Why a single score
AI visibility is messy. Five engines, hundreds of possible queries, citations that come and go week to week. A composite score gives leadership one number to track over time, the same way Domain Authority gave SEO a shared language a decade ago.
Underneath the headline number sits the detail: which queries, which engines, which competitors, and which fixes will move the needle next.
Frequently asked questions
An AI Brand Visibility Score is a measurement of how often, how accurately, and how prominently your brand is cited inside generative AI engines like ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. It is the AI-era equivalent of a search ranking, but it tracks citations and mentions instead of blue link positions.
The score combines citation frequency (how often you appear in answers across a set of target queries), citation quality (whether you are the primary source or a secondary mention), entity accuracy (whether the AI describes your brand correctly), and share of voice against competitors. Each engine is scored separately, then weighted into a composite.
When a buyer asks ChatGPT or Perplexity for a recommendation, only a handful of brands get named. If you are not one of them, you are invisible at the exact moment the decision is being shaped. The score tells you whether you are part of the answer or absent from it.
A healthy score for an established brand in its category is consistent citation across at least three of the major engines for the queries that matter most to its business. Most brands score near zero on first measurement because no one has structured their entity for AI yet.
Monthly at minimum. AI engines refresh their understanding of brands continuously as their training data and live retrieval indexes update. Quarterly is enough for trend reporting, but monthly catches regressions early.
Fix entity clarity, ship structured authority pages on the concepts you want to own, ensure your facts are consistent across the web, and earn references from sources AI engines already trust. The work is closer to PR and information architecture than traditional SEO.