What is LLM Visibility and Why Your Brand Needs It
Learn what LLM visibility means for your brand, how it differs from SEO, and why marketing teams that ignore AI-generated answers are losing ground.
AI share of voice (AI SOV) is your brand's proportion of all brand citations in AI-generated responses to a defined set of category queries, expressed as a percentage of total citations across all brands mentioned.
AI share of voice adapts the traditional marketing metric of share of voice to the AI answer environment. In traditional marketing, share of voice measures your brand's presence in advertising or media coverage relative to competitors. In AI search, it measures how often your brand appears in AI answers compared to all brands mentioned across the same query set.
To calculate AI SOV: run a set of category queries on your target AI platforms. For each response, record every brand cited. Total up all brand citations and calculate what percentage of total citations belong to your brand.
AI SOV = (your brand citations / total brand citations in category responses) × 100.
AI SOV is more nuanced than brand mention rate because it accounts for competitive context. A brand might have an 80% mention rate — appearing in 80% of responses — but only 20% share of voice if competitors are mentioned more frequently within each response.
AI SOV is the competitive version of brand mention rate. It shows not just whether you appear in AI answers, but whether you appear more or less than competitors. Declining AI SOV — even with a stable mention rate — indicates competitors are gaining ground.
Run a defined query set, extract all brand citations from each response, aggregate by brand, and calculate percentage share. An AI monitoring platform like Answer Insight automates this analysis across multiple platforms simultaneously.
Traditional SOV measures advertising spend or media mentions. AI SOV measures citation frequency in AI-generated answers. The inputs and mechanisms are entirely different, but the strategic logic is similar: more voice in the channel your buyers use means more brand consideration.
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