GEO Confidence Score is a measure of how statistically reliable a brand’s AI visibility metrics are, based on sample size (number of queries and runs) and response variance (how much results differ across runs). A high confidence score means the reported mention rate and other metrics are stable and trustworthy; a low confidence score means more data is needed before drawing conclusions.Documentation Index
Fetch the complete documentation index at: https://docs.getcited.in/llms.txt
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Why it matters
AI visibility data is inherently noisy due to non-determinism. A brand with 25 queries run once each has less reliable metrics than a brand with 75 queries run multiple times. Without a confidence indicator, users might over-react to a mention rate drop that is actually just statistical noise. Confidence scoring helps users know when to act and when to wait for more data.How Cited uses it
Cited computes confidence from query count, run count per query, and cross-run variance (standard deviation of mention positions). The confidence_level field in the daily metrics data categorizes each measurement as high, moderate, or volatile. Dashboard users can filter to see only high-confidence metrics when making strategic decisions.Related concepts
- Data freshness and statistical confidence — how to interpret data reliability
- Non-determinism — the underlying source of measurement noise
- Mention rate — the primary metric confidence scoring applies to