Share of voice (AI)
Share of voice in AI is your slice of the conversation: across a basket of queries, how often AI cites you versus your competitors. Unlike raw citation share, it usually weights queries by importance.
How is AI share of voice different from citation share?
Citation share measures a single query: of the brands cited in this answer, how many citations are yours. Share of voice zooms out to a whole basket of queries and typically weights each one by traffic or strategic value, so the number reflects where the demand actually is rather than treating every query as equal.
That weighting changes decisions. A 5 percent share on the one query that drives most of your pipeline is worth more than a 30 percent share on a long-tail query nobody important asks. Tracking both keeps you from celebrating wins that do not move revenue, and from ignoring small gaps that sit on top of your best demand.
The practical use is prioritization: find the high-value queries where a competitor still owns the answer, and aim your content and off-site work there first. GrowthManager builds the query basket around your real buyers and reports share of voice so the program targets the answers that matter.
Build the query basket from real demand signals, not from keyword tools alone. Sales call recordings, chat-bot logs, support tickets, and recent deal-loss notes surface the exact phrasings buyers use when they are deciding between you and a competitor. Twenty to fifty such queries, refreshed each quarter, gives you a basket that maps to actual revenue rather than search volume. Run share of voice against that basket on a fixed cadence and you can show stakeholders a number that connects directly to pipeline conversations, which is the report that finally turns AI visibility into a budget line.
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