The significance test comes back null | Trakkr Research
An analysis of the llms.txt effect on citation rates reveals no statistically significant impact.
Methodology: Built from HTTP scans of 37,894 AI-cited domains, linked to 337,362 citations and 882 citation snapshots in the Trakkr corpus.
Claim
The llms.txt citation comparison returns a Mann-Whitney p-value of 0.85, indicating no statistically significant citation effect.
Why it matters
Strategists and operators should allocate resources away from llms.txt implementation and treat it as a low priority until empirical evidence demonstrates a measurable impact on citation frequency.
Supporting metrics
| Metric | Value | Context |
|---|---|---|
| Mann-Whitney p-value | 0.85 | No statistically significant citation effect detected. |
Related pages
Continue through the same study cluster.
- which industries adopt llms txt most - Related answer page
- does llms txt help you even if it does not raise citations - Related answer page
- llmstxt adoption by sector tracker - Related tracker page
Data & Sources
- The llms.txt Effect - Flagship study behind this page
- Page JSON - Machine-readable companion file