AI share of voice

AI share of voice is the portion of brand mentions in AI answers that belong to you, compared with the competitors you track. If ChatGPT, Claude, Perplexity and Google AI Overviews mention brands in your category 100 times across your prompts and 20 of those mentions are you, your share of voice is 20%.

It is a useful competitive number and an easy one to misread. This guide gives the formula, works through an example, lists the traps and explains exactly how AEOmeter computes it.

Share of voice vs mention rate

These two numbers answer different questions, and you need both.

Mention rate measures presence. Share of voice measures your slice of the conversation. You can grow your mention rate while losing share of voice if competitors grow faster, and the reverse can happen too.

The formula

tracked share of voice = (answers that mention your brand)
                        ÷ (sum, over every tracked brand, of answers that mention that brand)

Two rules keep it honest:

• A brand counts once per answer. An answer that says "Mixpanel" five times counts as one Mixpanel mention. Otherwise a single long answer about one tool would dominate the number.
• Only answers that were captured successfully count. Failed checks, blocked pages and queries with no AI Overview contain no mentions of anyone and are left out.

A worked example

Acme Analytics tracks three competitors: Mixpanel, PostHog and Amplitude. It runs 20 buyer prompts in ChatGPT and captures 20 answers.

The mention rates add up to more than 100% because one answer can name several brands. Share of voice always adds up to 100% across the tracked brands, because it splits the same pool of 32 mentions.

Now suppose Acme gets added to two "best tools" roundups and, a month later, appears in 9 of 20 answers while the others stay the same. Total mentions become 35. Acme’s mention rate rises from 30% to 45% and its share of voice rises from 19% to 9 ÷ 35 = 26%.

Pitfalls

It only covers the brands you track

The denominator is the brands you chose. If ChatGPT keeps naming Heap and you don’t track Heap, Heap’s mentions are missing from the pool and your share looks bigger than it is. Add a competitor and every share changes, even though no answer did. That is why AEOmeter calls it tracked share of voice, and why it should never be read as market share.

Scan the answer text for names you don’t track. If a brand keeps appearing, add it and accept that the numbers before and after are not comparable.

Prompt selection bias

Share of voice describes your prompt set, not the world. Ten prompts that all contain "for startups" will flatter a startup-focused product. A set full of "Mixpanel alternatives" prompts will inflate the brands that commonly appear as alternatives. Choose prompts the way your buyers ask, across several types, before you look at any results. Our guide on choosing prompts explains how.

Small samples swing hard

With 20 answers, one answer changing from "Mixpanel" to "Acme" moves Acme’s share by several points. That is normal noise. Look at the trend over several weeks or many daily runs before you react. Per-prompt history helps: you can see whether the change came from one prompt flipping or many prompts drifting.

Mixing engines and periods

ChatGPT and Google AI Overviews behave differently and some queries return no AI Overview at all. Compare each engine with itself over time, and only compare periods that used the same prompts with the same wording.

Alias mistakes

If your brand is "Linear" or "Notion", a naive text search will count every use of the ordinary word. Use specific aliases and check a few answers by hand. AEOmeter matches aliases on word boundaries, case-insensitively, so "Acme" does not match "Acmesoft", but it can’t tell a common word from your brand name. Pick aliases that are unambiguous.

How AEOmeter computes tracked share of voice

• For every successfully captured answer, AEOmeter checks each tracked brand’s aliases with deterministic, case-insensitive, word-boundary matching.
• Each brand counts at most once per answer.
• Your tracked share of voice is your mentions divided by the mentions of all tracked brands in the same answers.
• Failed, blocked and "no AI Overview" checks are excluded. When there are no answers to count, it shows a dash, not 0%.
• Editing a prompt starts a new baseline for that prompt, so trends compare the same wording.
• Every number links to the answers behind it, so you can read the exact text that was counted.

You can see it next to mention rate and competitor gaps in competitor tracking. The full definitions live on the methodology page.

Slice it before you act on it

One blended share-of-voice number hides most of what is useful. Break it down by prompt tag and by engine before deciding what to do.

In this example Acme holds its own on alternatives prompts and is absent from comparisons. That points to a concrete job: publish fair comparison pages and get included in the comparison articles those answers cite. The same split by engine often shows one assistant naming you far more than another, which usually traces back to which sources each one cites. Tag prompts by type when you create them so this view is always available. Our guide on choosing prompts suggests a tag scheme.

How to improve AI share of voice

Share of voice moves when you show up in more answers or competitors show up in fewer. You can only influence the first one. Start with gaps: answers where a competitor is named and you are not. Open each one, read the cited sources and work out what the competitor has that you lack. Often it is a listing on a roundup, a clear comparison page or a use-case page that matches the prompt. The answer engine optimization guide covers the full set of steps.

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