Share of Voice in AI: The Metric That Will Define Market Leaders
Traditional Share of Voice measured ad spend and media coverage. AI Share of Voice measures who wins when AI models are asked who to choose. Here's why it matters and how to track it.
A New Definition of Market Share
In traditional marketing, Share of Voice (SoV) measured your brand's advertising presence relative to the total category spend. More share of voice → more brand awareness → more sales.
The principle still holds. But the channel has changed.
AI Share of Voice measures how often your brand is mentioned in AI-generated answers about your category, compared to all brands mentioned. It's the new proxy for mind share.
How AI Share of Voice Works
Imagine 100 people all asking ChatGPT: "What are the best project management tools?"
If your brand appears in 38 of those 100 responses, you have 38% AI Share of Voice — assuming your competitors collectively appear in the remaining responses.
This metric is powerful because:
Who's Winning AI Share of Voice Right Now?
Early data from AI visibility tracking shows some surprising patterns:
Tracking AI Share of Voice With VisibilityRadar
When you run an analysis with competitors added, VisibilityRadar automatically calculates your AI Share of Voice by tracking brand mentions across all prompt responses.
The competitor comparison table shows:
This data, tracked monthly, gives you a trend line — are you gaining or losing ground?
The Strategic Implication
If you have 45% market share but 12% AI Share of Voice, you have a problem that's going to get worse every quarter as AI usage grows. Conversely, if you have 15% market share but 31% AI Share of Voice, you're positioned to grow.
Start measuring. The brands building AI visibility strategies today will be the market leaders of 2027.
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