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Impact Score is a 0-100 score Cited assigns to every recommendation, indicating how much visibility improvement the action is likely to drive for a specific brand given its current data maturity. The score is brand-relative — a score of 60 means “60% of the maximum achievable impact for this brand,” not a universal benchmark comparable across brands.

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Why it matters

Brands receive 3-15 recommendations per monitoring cycle. Without prioritization, a content gap affecting one low-volume prompt looks the same as a gap spanning dozens of high-intent prompts where competitors dominate. Impact Score converts four measurable factors — query volume, competitive gap size, fix feasibility, and intent value — into a single priority signal that answers “which recommendation should I act on first?”

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How Cited uses it

Impact Score is computed on every narrative refresh cycle (twice weekly for Pro, weekly for Starter). Recommendations are classified into three priority tiers: HIGH (60-100), MEDIUM (30-59), and LOW (0-29). The dashboard displays recommendations sorted by Impact Score within each tier. The scoring formula uses brand-relative normalization — dividing by the maximum possible score for the brand’s own query volume — so that brands at any data maturity level see meaningful distribution across tiers.