← All guides

Guides

AI share of voice: the metric that shows who owns your category's answers

Published 4 Aug 2026

In short

AI share of voice is your slice of the mentions in AI answers for your category's questions: across a fixed question set and a fixed set of engines, count every brand mention and divide yours by the total. Tracked over time it answers the question executives actually ask — are we winning or losing the AI conversation — in one number. Its honesty depends entirely on how it's measured: fixed questions, repeated samples, and competitors counted by the same rules as you.

Why mention-counting alone misleads

"We're mentioned in 6 of 10 answers" sounds strong — until you learn a competitor is in 9 of 10, first every time, while your six mentions are trailing caveats. Share of voice forces the comparison into the metric: everyone's mentions are counted, so the number reflects the race, not just your lane.

  • Share: your mentions ÷ all brand mentions, per question set and period.
  • Position: named first vs named last inside answers — first-mentions carry the recommendation weight.
  • Citation share: whose URLs the engines actually link — presence in text and presence as a source diverge, and the source list is where authority shows.

Measuring it honestly

  • Fix the question set BEFORE looking at results — picking questions you already win is the classic way teams fool themselves.
  • Sample repeatedly: answers vary run to run, so a share computed from single runs is noise wearing a percentage sign. Multiple samples per question, per engine.
  • Count competitors by the same matching rules as yourself (aliases included: "HubSpot" and "HubSpot CRM" are one brand — and so are your own nicknames).
  • Keep engines separate before averaging: 60% on Perplexity and 10% on ChatGPT is strategy-relevant detail a blended 35% hides.
  • Track the trend, not the level: the level depends on your question mix; the trend under a FIXED mix is the real signal.

Reading the number: what moves it

Share of voice responds to two different machines, on two different clocks. On-site fixes (answer-first passages, sourced claims, crawler access) are re-crawled quickly on live-search engines. The consensus layer — reviews, roundups, community presence — changes far more slowly, and it is where durable positions tend to sit. Your own re-checks are what report the timing. A share that moves with no on-site change is a reason to look at off-site activity — yours or a competitor's — rather than proof that either caused it.

Promvia computes share of voice from your tracked questions across seven engines — with the alias matching, per-engine breakdowns and multi-sample checks above built in — and its history chart shows whether your slice is growing. The definition matters more than the tool: however you measure, measure by these rules or the number will comfort you instead of informing you.

Frequently asked questions

What's a good AI share of voice?

There's no universal benchmark — categories differ in how many brands answers name. The useful comparisons are your own trend under a fixed question set, and your share versus the category leader's.

How many questions do I need for a meaningful number?

Enough that one question can't swing the total: 15–30 tracked questions is a practical floor for a small brand; below that, treat the number as directional only.

Should sentiment be part of share of voice?

Keep them separate: share tells you how often you're in the conversation, sentiment tells you how the conversation treats you. A rising share of negative mentions is a different emergency than absence.

See where you stand today

Run your questions across seven AI visibility surfaces and get your baseline — small runs often finish in about a minute. Free plan, no credit card.

Start free →Try the free AI Traffic Checker

Keep reading

How to track your brand's mentions across AI assistantsHow AI assistants choose which sources to citeWhat is Generative Engine Optimization (GEO)?