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Metrics
SOV

Share of Voice

The proportion of AI responses in a category that mention or recommend your brand relative to competitors. Share of Voice quantifies competitive dominance in conversational AI, much as it traditionally did for advertising and search.

Detailed Explanation

Share of Voice (SOV) has long measured a brand's slice of total market presence in advertising and search. Applied to AI search, SOV becomes the share of relevant AI responses in which your brand is mentioned or recommended, measured against the competitors that appear alongside you. To calculate it, an AI visibility tool runs a representative set of category prompts across engines and counts how often each brand surfaces, producing a competitive ranking. A high AI Share of Voice means that when users ask AI assistants about your category, your brand is consistently part of the conversation; a low SOV means competitors are capturing the recommendations. Because AI answers often name only a few options, SOV is a particularly revealing metric: the gap between being one of the three brands mentioned and being absent is enormous. Tracking SOV over time shows whether your AEO and GEO efforts are translating into competitive ground gained.

Examples

1

Your brand appears in 40% of AI answers about your category while your nearest competitor appears in 25%

2

Measuring SOV before and after a content campaign to gauge competitive impact

3

Identifying a category where a competitor holds dominant SOV so you can prioritize it

Why It Matters

AI answers name only a few brands, so SOV captures competitive reality better than any single metric. It shows whether you're winning or losing the recommendation race in your category.

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