Share of voice (AI search)
Share of voice in AI search is the percentage of total brand mentions within an AI engine's response set that belong to one specific brand — a competitive measurement complementing the absolute citation rate.
Definition
Share of voice (SOV) in AI search measures how much of the brand-mention surface an AI engine grants to one brand relative to its competitors for a given query set. If 100 brand mentions appear across 50 responses to your priority queries and 35 of them are your brand, your SOV is 35%.
Why it matters
Citation rate alone misses the competitive picture. A brand might have 40% citation rate while competitors have 60-80% in the same category — that's a citation-rate win obscuring a SOV loss. SOV captures whether the brand is winning attention relative to alternatives the customer might choose.
How to calculate it
Per query set:
- Aggregate all brand mentions across all responses in the set
- Count mentions per brand
- SOV per brand = mentions / total mentions × 100%
The category total is what makes the metric a percentage. If only one brand exists (your brand owns the category), SOV = 100% and the metric becomes uninformative — use it only when 3+ competitor brands are visible.
Where SOV diverges from citation rate
- High citation rate, low SOV: the AI engine mentions you often but also mentions every competitor often. The category is crowded; differentiation isn't sticking.
- Low citation rate, high SOV: when you are cited, you dominate. The category is niche; growth requires expanding query coverage rather than fighting for share.
- High both: category leader. Defend with continuity.
- Low both: rebuilding. Citation rate first, SOV second.
Per-platform SOV variance
The four-index reality means SOV often diverges sharply across platforms. A brand might hold 50% SOV on Google AI Overview while sitting at 8% SOV on Perplexity for the same queries. These are different competitive landscapes — different recommendation logic, different content priors, different audiences.
Brand Radar tracks SOV per query × platform × persona and surfaces the largest week-over-week deltas as alerts.
Frequently asked
What's a good share of voice number in AI search?
Category-dependent. Category leaders typically hold 25-40% SOV; established challengers 10-25%; emerging brands under 10%. Higher than 50% usually means the category is too narrow for SOV to be meaningful as a metric.
How does AI search share of voice differ from traditional SEO share of voice?
Traditional SOV measures organic-traffic estimates weighted by SERP position. AI search SOV measures brand-mention frequency within generated response text. The shift: from real-estate-on-the-SERP to share-of-the-AI-narrative. Different signal, different acquisition implications.
Should I track SOV per AI engine separately or pool across all five?
Per engine. Pooled SOV across all five major AI engines obscures the platform-specific competitive landscape that drives tactics. The four-index reality means competitors who win Google AIO often lose Perplexity and vice versa.
Related
Stop guessing where you rank in AI search
Citare measures citation rate and share of voice across ChatGPT, Google AI Overview, Gemini, Claude, and Perplexity — weekly, for your priority queries. Free forever tier.