AI share of voice
The percentage of AI-generated responses that mention or recommend your brand compared to all brand mentions for a given set of queries.
AI share of voice (AI SOV) measures your brand's presence in AI-generated search responses relative to competitors. It is one of the most important metrics in GEO, providing a clear picture of competitive positioning across AI search platforms.
How AI share of voice is calculated
AI SOV is typically expressed as a percentage:
AI SOV = (Your brand mentions ÷ Total brand mentions across all competitors) × 100
For example, if you monitor 200 queries about "AI visibility tools" and your brand appears in 50 responses while competitors collectively appear in 150, your AI SOV is 25%.
AI SOV vs traditional share of voice
| Dimension | Traditional SOV | AI Share of Voice |
|---|---|---|
| Measurement | Ad impressions or keyword rankings | Brand mentions in AI responses |
| Platform | Google SERPs, social media | ChatGPT, Perplexity, AI Overviews |
| Granularity | Position 1-10 | Mentioned or not (binary per response) |
| Variability | Relatively stable | Can change between identical queries |
| Weighting | By search volume | By mention quality, position, sentiment |
Dimensions of AI SOV analysis
AI share of voice can be segmented across multiple dimensions:
- By platform: SOV on ChatGPT vs Perplexity vs Google AI Overviews vs Claude
- By query intent: SOV for informational vs commercial vs transactional queries
- By topic cluster: SOV for specific features, use cases, or industry segments
- By geography: SOV in different markets or languages
- Over time: Trending SOV to measure optimization impact
Why AI SOV matters
Research shows that share of voice in AI search correlates with brand consideration. When AI platforms consistently recommend a competitor over your brand, users develop a preference shaped by that recommendation — often before they ever visit your website.
Improving your AI SOV
- Identify queries where competitors dominate and create targeted content
- Build citation authority by publishing original data and research
- Earn mentions from sources that AI engines trust
- Monitor and respond to changes in SOV across platforms
- Use tools like Geosaur to track AI SOV trends over time
