Not sure where to start? Take a guided tour.
AI Site Grader
AI Query Scanner
llms.txt GeneratorWhat should teams do after seeing the llms.txt data?
Use the snapshot to understand adoption and association. If you publish llms.txt for a specific workflow, measure that workflow directly and avoid promising a citation lift from this study.
Different cohorts, different results.
- Top 5,000 cited domains
- Subset of the top 5,000 cited domains; not the full-sample test.
- p = 0.85
Mann-Whitney U tests · 14 March 2026.
A controlled or longitudinal design would be needed to estimate the effect of adding the file.
The evidence.
Source
The llms.txt Effect
| Measure | Result |
|---|---|
| Adoption rate Domains with llms.txt in the study. | 13.3% |
| Top-5,000 Mann-Whitney p-value Subset of the top 5,000 cited domains; not the full-sample test. | 0.85 |
Population and method
Built from HTTP scans of 37,894 AI-cited domains, linked to 337,362 citations and 882 citation snapshots in the Trakkr corpus.
Where the evidence stops
This is an observational study. It measures correlation with citation outcomes, not a controlled experiment.
Adoption is uneven by sector, so raw averages can hide category concentration in SaaS and developer tooling.
The top-5,000 test returns p=0.85. The full scanned sample returns p<0.001 with reported r=-0.065. Neither establishes a causal effect. The public aggregates do not include confidence intervals or document the cohort for citation means and medians well enough to recompute the tests.
What to do with this
- 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.
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.
Questions about this answer.
Cite this answer.
Source study: llms.txt Effect“Use the snapshot to understand adoption and association. If you publish llms.txt for a specific workflow, measure that workflow directly and avoid promising a citation lift from this study.”
Mack Grenfell · What should teams do after seeing the llms.txt data?
The llms.txt Effect · Trakkr Research · Updated 4 September 2026