Superlines tracks several core metrics to help you understand and optimize your brand’s AI search visibility.
Brand Visibility
What it measures: The percentage of AI responses that mention your brand.
Brand Visibility = (Responses mentioning your brand / Total responses) × 100
| Benchmark | Rating |
|---|
| > 30% | Excellent |
| 20–30% | Good |
| 10–20% | Fair |
| < 10% | Needs improvement |
Brand Visibility is the single most important metric — it tells you how visible your brand is when people ask AI about topics relevant to your business.
Share of Voice (SOV)
What it measures: Your brand mentions as a percentage of all brand mentions (yours + competitors).
Share of Voice = (Your brand mentions / All brand mentions) × 100
| Benchmark | Position |
|---|
| > 25% | Market leader |
| 15–25% | Strong presence |
| 5–15% | Moderate |
| < 5% | Needs attention |
Key difference from Brand Visibility
- Brand Visibility = how often you’re mentioned out of all responses
- Share of Voice = how often you’re mentioned compared to competitors
SOV tells you about your competitive position. If your SOV is low but Brand Visibility is decent, it means competitors are also being mentioned frequently.
Citation Rate
What it measures: The percentage of AI responses that cite (link to) your website.
Citation Rate = (Responses citing your website / Total responses) × 100
| Benchmark | Rating |
|---|
| > 20% | Excellent |
| 10–20% | Good |
| 5–10% | Fair |
| < 5% | Needs improvement |
Citations are a strong signal of content authority. AI models cite sources when your content is seen as authoritative and relevant. Focus on creating comprehensive, well-structured content to improve citations.
Share of Citations
What it measures: Your website citations as a percentage of all citations in branded responses.
Share of Citations = (Your citations / Total citations in branded responses) × 100
Mentions
The raw count of times your brand is mentioned across all AI responses. While Brand Visibility is a percentage, Mentions gives you the absolute number — useful for understanding volume and trends.
Sentiment Score
The average sentiment of AI responses that mention your brand:
- Positive — the AI presents your brand favorably
- Neutral — factual mention without strong sentiment
- Negative — the AI raises concerns about your brand
Metrics by engine
All metrics can be filtered and broken down by AI engine. This helps you identify which engines your brand performs best on, spot engines where competitors are winning, and prioritize content strategies per platform. 
