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AI share of voice

Also called: AI SOV, LLM share of voice, share of voice in AI search

Definition

AI share of voice is the portion of all brand mentions in AI answers to a fixed set of buyer prompts that go to your brand rather than to your competitors.

In practice

Compute it by asking each engine the same prompts several times, counting every mention of each tracked brand, and dividing your mentions by the total. If the tracked brands are named 100 times and 25 of those are you, your share is 25 percent. The mistake is reading it alone. Share of voice depends on the competitor list you chose, so adding a rival lowers it without anything changing in the answers, and it rises when a competitor disappears even if you are mentioned no more often. Read it next to your mention rate, the share of answers that name you at all, and keep the prompt set and competitor list fixed so one week can be compared with the next.

Example

A project management tool tracks itself against three competitors on 15 buyer prompts, asked four times each on ChatGPT and Perplexity. Across those 120 answers the four brands are mentioned 200 times, 40 of them for the tool: a 20 percent AI share of voice. Its mention rate is 30 percent, because it appears in 36 of the 120 answers. Both numbers go into the weekly report, side by side.

Common questions about AI share of voice

How do you calculate AI share of voice?

Ask each AI engine the same buyer prompts several times, count every mention of each tracked brand, and divide your mentions by the total. If the tracked brands are named 100 times and 25 of those are yours, your AI share of voice is 25 percent. Keep the prompts and competitor list fixed between runs.

Why read AI share of voice next to mention rate?

AI share of voice depends on which competitors you track: adding one lowers your share and dropping one raises it, with no change in the answers. Mention rate, the share of answers that name you at all, does not move with the competitor list, so reading the two together shows what really changed.

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