What is Share of Voice in AI?

Share of Voice measures your brand's mention frequency in AI responses compared to competitors, indicating competitive visibility in AI search.

Share of Voice in AI measures how often your brand is mentioned in AI responses compared to competitors for relevant queries.

Adapted from advertising metrics, AI Share of Voice quantifies competitive visibility. If users ask AI assistants 100 questions about your product category and you're mentioned 30 times while your main competitor is mentioned 50 times, your share of voice is lower despite absolute visibility. This metric reveals competitive standing in AI-driven discovery.

Deep Dive

Share of Voice (SOV) has long been used in advertising to measure relative brand presence. In the AI era, it's been adapted to measure visibility in AI-generated responses. AI Share of Voice typically calculates: 1. How often your brand is mentioned in relevant queries 2. How this compares to competitor mentions 3. Trends over time showing who's gaining or losing share For example, in the project management software category: - Brand A: mentioned in 45% of relevant queries - Brand B: mentioned in 35% of relevant queries - Brand C: mentioned in 20% of relevant queries Brand A has the highest share of voice, making it most likely to be discovered when users ask AI for recommendations. Share of Voice matters more than absolute visibility because AI recommendations often include multiple brands. Being mentioned isn't enough - you want to be mentioned more often and more prominently than competitors. Tracking SOV over time reveals competitive dynamics. If a competitor's SOV is growing while yours is flat, they're winning the AI visibility battle even if your absolute mentions haven't declined.

Why It Matters

Share of Voice matters because AI recommendations are inherently competitive. When a user asks for recommendations, AI typically mentions multiple options. The brands mentioned most often and most favorably win more consideration. SOV provides the competitive context that absolute visibility metrics lack. It answers the crucial question: are you winning or losing the AI visibility battle in your category?

Key Takeaways

Relative visibility matters more than absolute visibility: Being mentioned in 40% of queries is great unless competitors are mentioned in 60%. SOV provides competitive context.

SOV trends reveal competitive dynamics: Tracking share over time shows who's gaining or losing ground in AI visibility competition.

SOV correlates with discovery and consideration: Brands with higher share of voice are more likely to be discovered and considered when users rely on AI recommendations.

Different categories have different competitive landscapes: SOV benchmarks vary by industry. What's good in one category might be average in another.