> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getcited.in/llms.txt
> Use this file to discover all available pages before exploring further.

# GEO Confidence Score

> A measure of how statistically reliable a brand's AI visibility metrics are, based on sample size and response variance.

**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](/glossary/mention-rate) and other metrics are stable and trustworthy; a low confidence score means more data is needed before drawing conclusions.

## Why it matters

AI visibility data is inherently noisy due to [non-determinism](/glossary/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](/methodology/data-freshness). 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](/methodology/data-freshness) — how to interpret data reliability
* [Non-determinism](/glossary/non-determinism) — the underlying source of measurement noise
* [Mention rate](/glossary/mention-rate) — the primary metric confidence scoring applies to