How to calculate share of voice: Formulas, worked examples, pitfalls

How do you calculate share of voice for paid search?

In paid search the cleanest version is impression share, which ad platforms report directly: the impressions your ads received divided by the impressions they were eligible to receive. It answers "of the auctions I could have shown in, how many did I show in?", which is a share of your own opportunity rather than of the market.

For a market view, divide your impressions or spend by an estimate of the category's total, from a competitive intelligence tool or your own research. That estimate carries more error than your own numbers, so present it as a range, and keep the method fixed between reports so the trend is meaningful even when the level is uncertain.

How do you choose the question set for AI share of voice?

The question set is the denominator's foundation, so it deserves more care than the formula.

• Use buyers' words. Write questions the way a buyer would type or say them, not the way your product pages phrase things.
• Cover the buying stages. Problem questions ("how do I…"), category questions ("best X for Y"), comparison questions ("X vs Y") and brand questions. Weight them by how close each stage is to a decision.
• Keep brand questions separate. They inflate the rate and tell you little. Report them on their own line.
• Freeze it. Add questions as new rows; never edit the wording of an existing one, or its history stops being comparable.
• Review quarterly. Drop questions nobody asks any more, and add the ones your sales calls keep hearing.

Thirty to sixty well-chosen questions usually give a more useful number than three hundred loosely chosen ones.

What does a worked example look like?

Here are real numbers from our own workspace: 61 tracked questions about our category, read on ChatGPT and Perplexity from 2026-09-04 to 2026-10-04, with 24 of 31 days sampled. In total 4,524 answers were read. The table at the top of this page has the count for each of the six most-named brands, each worked both ways.

Take the rate column first. Semrush was named in 1,621 answers: 1,621 ÷ 4,524 = 0.358. We were named in 197: 197 ÷ 4,524 = 0.044. These rates do not add up to one. They are not supposed to: many answers name several brands, and many name none of these. An answer listing Semrush, Profound and Ahrefs counts once for each.

Now the pie, using only these six brands. Total mentions: 1,621 + 1,420 + 1,171 + 988 + 967 + 197 = 6,364. Our pie share is 197 ÷ 6,364 = 0.031.

Add a seventh competitor to the tracking list, one that was named in 900 answers, and the pie total becomes 7,264. Our pie share drops to 197 ÷ 7,264 = 0.027. Nothing about the answers changed. We edited a settings page.

That is why we use the rate. Our own documentation puts it this way: the pie's denominator "would be the competitor list you typed", and "a number that moves when you edit a settings page is not a measurement".

Which counts as a mention: the name, or a link?

Decide and write it down. We count a mention when the brand name appears in the answer text, whether or not there is a link. A citation is separate: a link to your domain. A model can recommend you at length and never link you, or link your page while naming someone else.

Keep them as two numbers. In the same workspace, our pricing page was cited in 42 of 57 ChatGPT answers to one pricing question in which we were named in none. Blending the two would have hidden that.

What are the pitfalls that make SOV numbers wrong?

Counting failed runs. If an engine errors and you count it as an answer that did not name you, an outage looks like a drop. Exclude failed runs from the total; they lower the sample size, not the rate.

Ignoring the sample size. A rate of 0.2 on ten answers and a rate of 0.2 on a thousand are different readings. Always show the total beside the share.

Calling noise a trend. With small samples, the rate moves by chance. Test changes before you report them. We use a two-proportion z-test at 95% confidence; a change that does not clear it is reported as no change we can prove.

Mixing engines. Engines draw on different sources. An overall rate can hide that you are strong on one and absent on another. Compute it per engine first.

Mixing countries. Answers differ by market. Keep each country separate, or say clearly that you blended them.

Brand names that are ordinary words. If your brand is "Linear" or "Notion", a naive match counts every unrelated use of the word. Read a sample of answers before trusting the rate.

Changing the question set. Adding easy brand questions raises your rate without changing anything real. Our own 197 named answers all came from the three questions that contain our name; on the other 58 questions, the rate was zero (0 of 4,326 answers). Report brand and non-brand questions separately.

Does sampling more often change the number?

It should not change the rate, only its precision. Reading each question three times a day instead of once triples both the numerator and the denominator. What you buy is a smaller margin of error, which lets you see smaller real changes sooner. If a tool's share of voice jumps when you raise the sampling, something is being counted wrong.

How should you report share of voice?

A good report line has five parts: the share, the count, the total, the window and the scope.

Named in 197 of 4,524 answers (0.044), ChatGPT and Perplexity, 61 questions, 2026-09-04 to 2026-10-04.

Anything less invites misreading. "Share of voice: 0.04" without the rest could mean almost anything.

How does Attensira calculate share of voice?

Attensira computes share of voice as the rate this post recommends: successful answers naming you divided by all successful answers in the window, with failed runs excluded, per engine on ChatGPT, Perplexity, Claude and Google AI, with Gemini from Growth. Every rate is shown with its sample size, every change is tested before it is called a change, and an engine you do not track is shown as unmeasured, not zero. Competitor rates use the same denominator, so the board never moves because you edited the competitor list.

The number is the start, not the job. The crew then works the questions where you are not named, with your approval: that is the service of an SEO agency at the price of a tool. See prompt tracking, or run the free audit for a first reading.