Definition
AI share of voice compares how often your brand appears in AI answers with how often chosen competitors appear. It is usually calculated by counting brand mentions across a sample of questions and assistants, then dividing your mentions by the total mentions of all brands in the set.
For example, Bizbloom tracks 50 CRM questions across four assistants and compares itself with Closedesk, Pipekart and SalesNiti. If Bizbloom accounts for 30 of 120 total brand mentions in that sample, its share of voice is 25 percent for those questions, assistants and period.
Why it matters
Share of voice turns scattered answers into a comparison buyers would recognize: when people ask about your category, who gets named? A rising share suggests your brand is becoming a more common part of AI answers, while a falling share can signal a competitor gaining ground. The number is only meaningful with its rules attached, so record which competitors, questions, assistants and dates were used, and keep them consistent between reports.
What to do
- Fix the competitor set, question list and assistants before calculating share of voice.
- Report share of voice by assistant as well as in total, since results often differ.
- Read the answers behind the number to check whether mentions are positive, neutral or negative.
Common questions
How do you calculate AI share of voice?
Count how many times each brand in your defined set is mentioned across a sample of AI answers. Divide your brand's mentions by the total mentions for all brands in the set. Some teams weight mentions by position or sentiment, so document the method you use and keep it consistent.
What is a good AI share of voice?
There is no universal benchmark. It depends on how many competitors you track, how crowded the category is and which questions you include. The most useful comparison is your own share over time, measured with the same rules, alongside the shares of the specific competitors you care about.