Visibility score
A composite metric that quantifies how visible a brand is across AI search engines, factoring in mention frequency, position, and sentiment.
A visibility score is a composite metric that quantifies a brand's overall presence in AI-generated search responses. Unlike simple mention counting, visibility scores weight multiple factors to provide a single, actionable number.
Components of a visibility score
A typical AI visibility score incorporates:
- Mention frequency: How often the brand appears in relevant AI responses
- Position weighting: Earlier mentions in a response score higher
- Sentiment factor: Positive mentions contribute more than neutral or negative
- Platform coverage: Appearing across multiple AI platforms scores higher
- Query relevance: Mentions for highly relevant queries weigh more
How visibility scores are used
- Benchmarking: Compare your score against competitors
- Trend tracking: Monitor improvements over time
- ROI measurement: Quantify the impact of GEO efforts
- Priority setting: Focus optimization on areas with the lowest scores
Interpreting visibility scores
Visibility scores are most useful when:
- Tracked over time to identify trends
- Compared across competitors
- Broken down by query category or AI platform
- Correlated with business outcomes (traffic, leads, revenue)
