LLMs.txt has no measurable effect on AI citations, 300,000-domain study finds
Only 10.13% of nearly 300,000 domains have an LLMs.txt file in place, according to an analysis by SE Ranking. The proposed standard, often described as an AI sitemap, is meant to point language models at a site's most important pages, but adoption remains far below that of robots.txt or XML sitemaps.
The study tested whether the file changes how often a domain is cited by AI assistants. An XGBoost model trained on citation frequency became more accurate when the LLMs.txt variable was removed, suggesting the file adds noise rather than predictive value. Statistical analysis found no link between having the file and being cited.
Adoption is also spread evenly across the web. Small sites with a few dozen monthly visits are about as likely to publish an LLMs.txt file as large, established domains, which are slightly less likely to use one than mid-tier sites.
For brands chasing citations in AI answers, the finding points back to technical basics: crawler access, robots.txt rules and indexability. LLMs.txt can be treated as an optional experiment, with no evidence yet that it improves visibility.
Reported by SE Ranking Blog ↗
Topics: Citations, Measurement