Share of Model Voice (SOMV) is a measure of how often AI answer engines mention your brand — versus your competitors — when people ask questions in your category. It's the AI-era analogue of share of voice in traditional marketing: instead of counting ad impressions or search rankings, SOMV counts presence in the answers that models actually generate. If you ask ChatGPT, Gemini, or Perplexity "who are the best providers for X" and your competitors appear five times for every one time you do, your Share of Model Voice is low — and that's a concrete, trackable gap. EntityMesh surfaces this through EchoScan, which runs controlled prompts across the available engines and reports who appears and how often, over time. SOMV is directional by nature: it reflects the prompts and providers you configure, and it never claims proprietary access to how any engine ranks internally. But watched over time as you publish approved content, a rising Share of Model Voice is one of the clearest signals that your answer infrastructure is working.
EchoScan measures SOMV with controlled prompts across engines
Through controlled prompts run across AI engines (via EchoScan), counting how often your brand appears versus competitors. It's directional — based on your configured prompts and providers.
Publishing approved, citable content raises your Share of Model Voice
Publish approved, structured, citable content so engines have something trustworthy to quote — then monitor the change. A free diagnostic shows your starting point.