Share of Voice (SOV) in the context of AI visibility is the percentage of relevant AI responses that mention your brand, compared to your competitors. It answers the question: “Of all the times an AI engine is asked about my category, how often is my brand part of the answer?”
Calculating share of voice
Your SOV = (Your mentions ÷ Total mentions across all tracked brands) × 100
Example: You track 5 brands across 100 queries. The results are:
| Brand | Mentions | SOV |
|---|---|---|
| Your brand | 42 | 42% |
| Competitor A | 35 | 35% |
| Competitor B | 13 | 13% |
| Competitor C | 6 | 6% |
| Competitor D | 4 | 4% |
In this example, your brand leads with 42% SOV — but Competitor A is close behind and worth monitoring.
Why SOV matters more than raw mention count
Raw mentions don’t tell you whether you’re winning or losing in context. A brand with 200 mentions sounds impressive until you learn the category leader has 800 mentions. SOV provides the competitive context raw counts lack.
SOV is also a more stable metric for trend tracking — if overall query volume in your category grows, raw mentions grow for everyone, but SOV reveals whether you’re growing your share or just riding the tide.
SOV across query clusters
SOV should be broken down by query cluster, not just calculated as one aggregate number. A brand might have:
- 70% SOV in “best enterprise tool for X” queries
- 12% SOV in “affordable alternative to Y” queries
That gap reveals where to invest in content and authority building.
The relationship between SOV and market share
Research in traditional advertising showed that brands with SOV above their market share tend to grow, while brands with SOV below their market share tend to decline. Early evidence suggests the same dynamic applies to AI share of voice — brands winning in AI answers tend to build consumer preference over time, even without a direct click.