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Superlines tracks several core metrics to help you understand and optimize your brand’s AI search visibility.

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Brand Visibility

What it measures: The percentage of AI responses that mention your brand.
Example: If 100 prompts are tested and your brand appears in 30 responses, your Brand Visibility is 30%.
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.

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Dashboard level vs. per-prompt level

Brand Visibility is detected in two slightly different ways depending on where you look:
  • The dashboard KPI card and label/theme-level figures count a response when your brand is found anywhere in the response text, including common name variants (e.g., “Yale” counts for the brand “Yale Home”).
  • The per-prompt Brand Visibility in the Prompts table and Tracked Prompts CSV export applies a stricter rule: a response counts only when your exact brand name appears in the structured list of brands extracted from that response.
Because the per-prompt rule is stricter, per-prompt percentages can all sit below the label-level figure they belong to — this is expected. To reconcile the CSV export with the dashboard KPI, divide Brand Mentions by AI Responses per prompt; those columns use the same detection as the dashboard and roll up to it exactly.

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Share of Voice (SOV)

What it measures: Your brand mentions as a percentage of all brand mentions (yours + competitors).
Example: If there are 200 total brand mentions across all responses, and 50 are yours, your SOV is 25%.

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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.

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Citation Rate

What it measures: The percentage of AI responses that cite (link to) your website.
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.

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Share of Citations

What it measures: Your website citations as a percentage of all citations in branded responses.
This helps you understand how your website’s authority compares to competitors in terms of being used as a source.

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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.

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Average Position

What it measures: The average rank at which your brand is mentioned in AI-generated answers. Position 1 means your brand is mentioned first, Position 2 means second, and so on.
How it works: When an AI model responds to a prompt and mentions multiple brands, the order matters. The brand mentioned first (Position 1) is typically the most prominently recommended. Superlines tracks this order for every response and calculates a volume-weighted average — days with more responses have proportionally more influence on the score, similar to how Google Search Console calculates impression-weighted position. Example: If your brand appears at Position 1 in 60 responses and Position 3 in 40 responses, your Average Position is 1.8 (weighted by daily response volume).
Only responses where your brand is actually mentioned are included in the calculation. Responses with no mention of your brand do not affect your Average Position. See Brand Visibility and Mentions for how often your brand appears. Lower is better.

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Average Position Ranking

The leaderboard ranks all brands by their volume-weighted average position across your tracked prompts. This lets you see exactly where your brand stands relative to competitors — who gets mentioned first, and who gets mentioned last.
  • Rank change shows whether your relative position improved or declined vs. the previous period
  • Brands with fewer than 3 appearances are excluded to filter noise
  • The ranking updates daily and supports competitor comparison in the trend chart
Average Position is particularly useful for understanding quality of visibility. A brand can have high Brand Visibility (mentioned often) but poor Average Position (mentioned last). Improving your position means AI models see your brand as a more primary recommendation.

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Industry Average

What it measures: The average score of the brands shown in the Industry Ranking table, used as a benchmark reference on the Brand Visibility, Citation Rate, and Sentiment KPI cards.
Which brands are included depends on the Only my competitors toggle in the Industry Ranking section of the Visibility Dashboard:
  • Toggle on (default): your configured competitors plus your own brand
  • Toggle off: all brands detected in AI responses
The Industry Average always includes your own brand, covers at most the top 10 brands shown in the ranking, and is unweighted — every brand counts equally regardless of how many mentions it has.

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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

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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.