AI share of voice (AI SoV) measures how much of the AI-answer conversation your brand owns. For a defined set of prompts, it's the share of answers in which your brand appears, judged relative to the competitors that also appear. It's the AI-search equivalent of the classic "share of voice" marketers use for advertising or PR — adapted to a world where an AI engine, not a person, decides who gets mentioned.
How AI share of voice is calculated
The simplest version: across all the answers you sampled for a prompt (or a group of prompts), count how often your brand was mentioned versus how often each competitor was, then express yours as a percentage of the total mentions. If ChatGPT named five brands across your sampled answers and yours was one of them 40% of the time, that's your share of voice for that prompt.
Two details make the number trustworthy:
- Sample size. Because AI answers vary run to run (see query fanout), a single answer proves nothing. Share of voice is only meaningful over many samples, which is why honest tools always show the sample count behind the figure.
- Rank, not just presence. Appearing last in a list is worth less than being named first. A good SoV read pairs the percentage with your typical rank among mentioned brands.
Why it's the core AEO metric
Traditional rankings don't apply to generated answers — there's no fixed list of positions. Share of voice fills that gap: it's the durable, comparable number that tells you whether you're winning, contested, losing, or invisible in AI answers, and whether that's trending up or down over time. It's the metric you report, and the one you move.
At TrackGPT, share of voice is central to how we describe your standing for each prompt, always shown with the underlying sample count and the exact answers as receipts.
Related concepts
AI share of voice measures the results of LLM seeding and generative engine optimization, and depends on understanding query fanout. For tools that report it, see the best AI visibility tools guide.
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