Why is llms.txt getting so much attention if the effect is null? | Trakkr Research
The premise needs care: only the top-5,000 test is non-significant. The full-sample test is significant with a small reported effect size. The study does not measure why people adopt the file.
Methodology: Built from HTTP scans of 37,894 AI-cited domains, linked to 337,362 citations and 882 citation snapshots in the Trakkr corpus.
Direct Answer
The premise needs care: only the top-5,000 test is non-significant. The full-sample test is significant with a small reported effect size. The study does not measure why people adopt the file.
What this means
This answer matters because it turns a study finding into an operating rule teams can use when they decide what to publish, refresh, or measure next.
Evidence table
| Metric | Value | Why it matters |
|---|---|---|
| Adoption rate | 13.3% | Domains with llms.txt in the study. |
| Top-5,000 Mann-Whitney p-value | 0.85 | Subset of the top 5,000 cited domains; not the full-sample test. |
Frequently Asked Questions
Why is llms.txt getting so much attention if the effect is null?
The premise needs care: only the top-5,000 test is non-significant. The full-sample test is significant with a small reported effect size. The study does not measure why people adopt the file.
Which numbers from The llms.txt Effect matter most here?
Adoption rate: 13.3%. Domains with llms.txt in the study. Top-5,000 Mann-Whitney p-value: 0.85. Subset of the top 5,000 cited domains; not the full-sample test.
What should a team do next?
Treat llms.txt as an optional housekeeping file, not a primary citation-growth lever. Prioritize answer quality, source coverage, and page structure before spending disproportionate effort on llms.txt. If you do publish llms.txt, measure discovery and crawl behavior directly instead of assuming it improved citation performance.
What to do next
- Treat llms.txt as an optional housekeeping file, not a primary citation-growth lever.
- Prioritize answer quality, source coverage, and page structure before spending disproportionate effort on llms.txt.
- If you do publish llms.txt, measure discovery and crawl behavior directly instead of assuming it improved citation performance.
Related pages
Continue through the same study cluster.
- do the raw citation averages show any real advantage - Related answer page
- is llms txt a leading indicator of ai readiness - Related answer page
- saas and developer sites adopt llms txt far more often - Related fact page
- llmstxt adoption by tier tracker - Related tracker page
Data & Sources
- The llms.txt Effect - Flagship study behind this page
- Page JSON - Machine-readable companion file