AI Share of Voice
The percentage of AI-generated responses in your category that mention or recommend your brand versus competitors — the AI-era metric for brand authority and market presence.
AI Share of Voice measures what percentage of relevant AI-generated answers feature your brand compared to competitors. If buyers ask 100 questions about your category and your brand appears in 30 answers, your AI share of voice is 30%.
Why AI Share of Voice Matters
Traditional share of voice measured media mentions. AI share of voice measures something more powerful: recommendation frequency. When AI engines recommend your competitor more often, they are actively directing demand away from you. Brands with higher AI share of voice see 3.2x more inbound pipeline from AI-mediated discovery channels. The metric compounds — once an AI engine associates your brand with a category, it reinforces that association across future responses.
How to Measure AI Share of Voice
- Identify the 20-50 key queries buyers ask in your category
- Run those queries across ChatGPT, Perplexity, Gemini, and AI Overviews
- Track which brands appear in each response and in what context (recommendation vs. mention)
- Calculate your percentage vs. competitors over time
AuthorityTech's AI Visibility Audit includes automated share of voice measurement across all major AI engines.
How to Increase AI Share of Voice
The primary lever is earned media in publications AI engines cite. Brands are 6.5x more likely to be cited via third-party sources than brand-owned content. More high-authority mentions equals more AI citations equals higher share of voice.
Share of voice is the macro metric. Pair it with Citation Share for category-level competitive analysis and AI Mention Rate for baseline query coverage. See GEO for the full optimization framework and Machine Relations for the strategic discipline.
See how your brand performs in AI search
Free AI Visibility Audit — instant results across ChatGPT, Perplexity, and Google AI.
Run Free Audit