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Visibility and Brand Signals

Share of Voice (AI)

Share of voice in AI is the percentage of relevant AI answers in which a brand is named or cited, measured against a fixed set of prompts and against a defined competitive set, so that brand performance can be compared head to head over time.

Also known as:AI share of voice, AI SOV, AI visibility share

Share of voice was originally a media metric: out of all the advertising in a category, what percentage was yours. In AI visibility it works the same way. Out of all the AI answers to a representative set of prompts in a category, what percentage included your brand, and how does that compare with your competitors.

A clean share-of-voice calculation needs three things: a representative prompt set, a fixed competitive set, and a consistent inclusion rule. With those locked, share of voice becomes a single number per brand per engine, which makes it easy to compare brands and track change. It is one of the cleanest metrics for benchmarking AI visibility because it normalizes away the absolute volume of prompts.

Share of voice can be broken down by engine (share on ChatGPT vs share on Perplexity), by prompt category (general industry queries vs comparison queries vs use-case queries), and by mention type (cited vs mentioned). The breakdowns usually surface the most actionable findings: a brand might dominate general queries but get crowded out in head-to-head comparison prompts, for instance.

Key points

  • Percentage of relevant AI answers that include the brand.
  • Requires a fixed prompt set, competitive set and inclusion rule.
  • Normalizes across prompt volume so brands can be compared cleanly.
  • Most useful when broken down by engine, prompt type and mention type.

Frequently asked questions

How is AI share of voice calculated?

Run a fixed set of representative prompts across a fixed set of AI engines, count how often each brand appears, and divide each brands count by the total brand mentions. The result is a percentage share per brand.

Why use share of voice instead of raw mention count?

Because raw counts depend on how many prompts you tested. Share of voice normalizes against the total, which lets you compare brands cleanly and track change without rerunning the same prompt count every time.

Related terms

Brand Visibility (AI)
Brand visibility in AI refers to how often and how prominently a brand appears in answers produced by AI engines such as ChatGPT, Perplexity, Gemini and Google AI Overviews, measured across the queries that matter to the brand.
Mention Rate
Mention rate is the percentage of AI answers in a measured prompt set that name the brand at all, with or without a citation, and it is the broadest single measure of whether the brand exists in AI-generated answers about its category.
Citation Rate
Citation rate is the percentage of AI answers in a measured prompt set that include a citation linking back to a brands content, and it is the cleanest single metric for tracking whether AI engines treat the brand as an authoritative source.
Mention (vs Citation)
A mention is when an AI answer names a brand without linking to it, while a citation is when the answer explicitly attributes information to a source via a link or footnote, which means mentions build awareness but citations build traffic and stronger authority signals.
Prompt Discovery
Prompt discovery is the practice of identifying the prompts and questions that real users actually type into AI engines about a brands category, so that visibility can be measured and improved against the queries that matter rather than against guessed-at keywords.
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