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Glossary

What is Share of Voice in AI Search?

Updated September 2026MeasurementIntermediate

Definition

Share of voice in AI search is the percentage of brand mentions inside a set of generated answers that belong to you rather than to a competitor. Unlike share of model, which probes what an assistant recalls without searching, this counts mentions in answers built from live retrieval. Your denominator is every rival named beside you.

At a glance

  • Share of voice is a ratio, so it can fall in a month where your own mentions rose and a rival’s rose faster.
  • The competitor set you count against is a choice, and it moves the answer more than any content work will.
  • Mentions and citations are different units, and mixing them produces a number nobody can reproduce.
  • A share figure means nothing without its prompt set, surfaces and date.

Counting mentions across a competitor set

Start with a prompt list and run it. For each answer, list every brand named, yours included, and count.

Your share is your mentions over all brand mentions in the set. Run it per assistant, because a surface naming six brands per answer and one naming two will not average into anything meaningful.

Settle the counting rules before the first run. Does a brand named twice in one answer count twice. Does a parent company count as its subsidiary. Does a retailer stocking your product count as a mention of you.

No standard exists, so the rule you write down becomes your standard. Apply it to competitors exactly as you apply it to yourself, and record it beside every figure you report.

The denominator decides who wins

Pick a narrow set of three direct rivals and your share looks healthy. Widen it to every brand an assistant might name, marketplaces included, and the same data tells a worse story.

Neither version is dishonest. They answer different questions. The narrow set asks how you do against the companies you lose deals to. The broad set asks how much of the category you hold.

Switching between them is the problem. A team reporting the narrow figure in a good quarter and the broad one in a bad quarter has stopped measuring and started arguing.

Choose the set that matches the decision the number is for, write it into the definition, and change it only at a planned reset. A share figure with no fixed denominator is a story, not a metric.

Define a prompt set you can defend to a finance team

  1. Pick prompts by commercial value, not winnability. The questions that precede a purchase, including the ones you currently lose.
  2. Fix the competitor list in writing. Name every brand you count, and decide up front how retailers and parent companies are treated.
  3. Choose mentions or citations, and say which. Counting both is fine. Reporting them as one number is not.
  4. Run the same set, same surfaces, same cadence. Monthly is enough for most categories.
  5. Keep the method beside the number. Prompt set version, competitor list, surfaces, dates. A figure you cannot reproduce next quarter will not survive its first challenge.

Two readings of the same set of answers

Counting decision Narrow reading Broad reading
Competitor set Direct rivals only Every brand named, retailers included
Repeat mentions Once per answer Every time the name appears
Retailer stocking you Not your mention Counts toward you
Typical effect on your share Higher Lower
Best question it answers Are we beating our rivals Do we hold the category

Frequently asked questions

  • Is share of voice in AI search the same as traditional share of voice?

    The idea carries over, the data source does not. Traditional share of voice works from media spend or coverage volume, both reported by someone. This version is built from answers a tracker sampled, so it describes your prompt set rather than the market. Same concept, weaker foundation, still useful.

  • What counts as a mention?

    Whatever you define, applied consistently. A sensible default is one count per brand per answer, whether the name appears in prose or in the source list. If you want citations counted apart from mentions, keep two columns rather than folding them into one figure nobody can unpick.

  • Can share of voice go down when I am doing well?

    Yes, and it catches teams out every quarter. Your mentions can rise while your share falls, because a rival gained faster or because assistants started naming more brands per answer. Report the raw mention count next to the share. One without the other invites the wrong read.

  • How does this relate to impressions and visibility scores?

    An AI search impression tells you that you appeared. Share of voice tells you how much of the answer space you held against rivals. A visibility score rolls several measures into one composite. Share of voice is the most useful of the three for competitive conversations, because it has a denominator someone can argue with.

  • Is it worth tracking for a brand with no direct competitors?

    Less than you would think. If assistants rarely name a comparable set in your category, the denominator is unstable and the ratio jumps for reasons unrelated to you. Track raw mentions and share of model instead, and come back when the category has a settled cast.