Definition
AI Share-of-Voice (AI SoV) measures how frequently a brand appears in AI-generated responses relative to competitors in a defined category. Unlike traditional share-of-voice metrics that measure advertising presence or media mentions, AI SoV specifically tracks visibility in LLM outputs.
How it differs from traditional Share-of-Voice
Traditional SoV metrics focus on paid media presence, PR coverage, or social mentions. AI SoV measures something fundamentally different: how often AI systems cite, recommend, or include your brand when users ask category-relevant questions. A brand can have high traditional SoV but near-zero AI SoV if their content isn't structured for LLM consumption.
Why it matters
AI assistants increasingly influence how buyers shortlist options. AI SoV helps you quantify whether you show up in those moments, whether you are correctly described, and whether competitors are being recommended instead.
How we measure it
We sample a set of category-relevant queries across multiple LLMs (ChatGPT, Claude, Gemini, Perplexity), track brand appearances, score for prominence and accuracy, and calculate visibility percentages over time. The methodology is transparent and repeatable.
Limitations
AI SoV is one metric among several. It doesn't capture response quality, sentiment, or conversion impact. It should be used alongside accuracy scoring, citation rates, and business outcome metrics.
Put this into practice
The €500 audit applies these concepts to your specific situation.
Start your audit