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llms.txt GeneratorThe llms.txt Effect
A dated llms.txt adoption snapshot with separate subset and full-sample citation tests. Answer pages, reference facts, and live trackers drawn from this study.
Published 18 March 2026 · Updated 4 September 2026
22 results
Does llms.txt increase AI citations?
This snapshot does not establish a causal increase. The top-5,000 test returns p=0.85, while the full 37,894-domain sample returns p<0.001 with reported r=-0.065.
How common is llms.txt on AI-cited domains?
It is still uncommon. Only 13.3% of the 37,894 scanned AI-cited domains had an llms.txt file.
Is llms.txt more common on top domains than the long tail?
Somewhat, but not dramatically. Adoption reaches 16.1% in the top 5,000 cited domains, yet the top 50 sit at only 6.0%, which undercuts the idea that the strongest citation winners are relying on llms.txt.
Which industries adopt llms.txt most?
SaaS and developer-heavy sites adopt llms.txt most aggressively. In the study, SaaS and developer tools reach 24.1% adoption, while government and academic sites sit at only 1.5%.
Does llms.txt help you even if it does not raise citations?
This study does not test operational uses of llms.txt. It reports adoption and citation associations, with different results for the top-5,000 subset and the full sample.
Should you prioritize llms.txt over answer infrastructure?
This study cannot rank those investments. It does not compare interventions or show that adding llms.txt causes more citations.
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.
Do the raw citation averages show any real advantage?
The published averages are 6.8 citations with llms.txt and 6.7 without it. These descriptive values alone do not establish practical importance, statistical significance, or a causal benefit.
Is llms.txt a leading indicator of AI readiness?
Not reliably on its own. It is more common among technical, SaaS-heavy sites, but the study does not show that it predicts better citation outcomes by itself.
What is the best way to read the null result?
Read p=0.85 as a non-significant test in the top 5,000 cited domains. The full sample returns p<0.001 with reported r=-0.065. Neither establishes that the causal effect is exactly zero.
What 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.
Does llms.txt look like a sector-specific behavior more than a universal standard?
Yes. Adoption is much higher in SaaS and developer tooling than in government, academic, review, or reference-heavy sectors, which makes it look more like a technical-community behavior than a universal web standard.
llms.txt adoption is only 13.3%
Adoption is real, but still far from universal.
Median citations are identical with and without llms.txt
Both published group medians equal 3 citations.
Average citations are functionally flat with and without the file
The published group means differ by 0.1 citations.
The top-5,000 test is not statistically significant
Only the top-5,000 subset test is non-significant; the full-sample test is significant.
Top 5,000 domain adoption is still only 16.1%
Even the more visible end of the corpus is not overwhelmingly using llms.txt.
Top 50 domain adoption is lower than the full corpus
The very top of the citation graph is not leaning on llms.txt.
SaaS and developer sites adopt llms.txt far more often
The file is culturally concentrated among technical sites.
Government and academic sites barely use llms.txt
Some of the web’s most authoritative sectors barely use the file.
llms.txt adoption by citation tier
Adoption rate across different levels of citation prominence.
llms.txt adoption by sector
Adoption skew across named industry groups in the Trakkr study.