Competitive intelligence glossary
Share of voice
Share of voice measures a brand's visibility relative to competitors across search, social, ads, or AI answer engines, as a share of mentions.
Originally an advertising-spend metric (what percentage of category ad spend is yours), share of voice has expanded to cover organic mentions, social conversation, search visibility, and now how often an AI assistant cites or names a brand when answering a category question — each channel a different lens on the same underlying question of relative presence.
Marketing teams track share of voice to see whether investment in content, PR, or advertising is translating into relative visibility, not just absolute growth. A brand can grow its own mentions year over year and still lose share of voice if competitors are growing faster.
The main pitfall is treating share of voice as an end in itself rather than a leading indicator — high visibility with the wrong audience, or on channels that don't convert, doesn't move revenue. It's most useful compared over time and alongside a metric that reflects actual buyer behavior.
The formula is simple — your mentions divided by total category mentions, per channel, per period — but the denominator is a decision: which competitors count as "the category", and how the channels weight the average. Two teams can measure the same brand and get different numbers because they chose different denominators, which is why the basket has to be fixed and documented before the first measurement.
AI answer engines have added a new twist: visibility there is winner-take-most (an assistant names two or three brands, not ten blue links), it updates on the engines' own crawl and refresh cadence rather than yours, and citation share responds to different levers — structured data, glossaries, comparison content — than classic search optimization does.
How teams actually use this
Teams operationalize share of voice by fixing two things up front: the competitor set and the channel set — organic positions for a keyword basket, social mentions, podcast and press citations, and increasingly how often AI assistants name each brand when answering category questions — then measuring the same way every month. Changing the measurement basket mid-stream is the most common way teams accidentally manufacture a trend.
It earns its keep as a leading indicator tied to specific bets: ship a content cluster, then watch whether category-question visibility moves next quarter; sponsor the category podcast, then watch mention share. Used without a paired bet, it degrades into a vanity dashboard.
The relative read matters as much as the absolute number: flat mentions while a rival doubles theirs is a loss that never shows up in your own analytics. Share of voice only means something against the same denominator over time.
Reporting cadence matters too: monthly is fast enough to catch a trend without overreacting to noise, and the number should always ship with its denominator stated — across these rivals, these keywords, these questions — so nobody quietly compares this quarter's basket against last quarter's different one. When the basket must change (a new entrant, a retired product line), restate the prior period under the new basket before claiming any movement.
A worked example
Say a dev-tools company tracks five rivals across a fifty-keyword basket plus AI-assistant answers to a dozen category questions. At the January baseline it holds a modest share of the page-one positions it tracks and is named in only a few of the AI answers, while the market leader owns roughly a third of the positions and most of the answers.
It ships a comparison-page cluster and a glossary in February. By May its tracked-position share is up meaningfully and it's named in about half the AI answers — while the leader is flat. The paired-bet structure is what makes the result defensible in the quarterly review: a specific investment, a fixed basket, and a relative move against a named rival.
The January baseline also settles an internal argument: marketing had believed the brand was "everywhere" because its own mentions grew all year. The fixed-basket measurement showed rivals growing faster still — which is exactly the blind spot a relative metric exists to expose, and the reason the baseline was worth taking before the bet rather than after it.
Where Solvenq fits
Solvenq's Radar watches how a defined set of competitors shows up over time — pricing moves, launches, and messaging changes — which is the underlying activity that share-of-voice tracking is trying to contextualize.
See RadarRelated terms
Related resources
See it applied to your market.
Start with a free Exposure Audit — see your business the way a rival does — then cited findings, ranked moves, and Solvenq watching for what changes next.
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