llms.txt Adoption in Singapore
A descriptive market breakdown. These figures show what Singapore looked like; what the study demonstrates — that llms.txt adoption does not predict AI-crawler openness — is established in the pooled cross-market benchmark, where the sample supports inference.
36 of 186 scannable domains publish llms.txt, of which 88.9% are valid files. Singapore has the highest adoption rate and the lowest observed contradiction rate of the four — though its adopter sample is the smallest, so the figure is descriptive only.
The market figures
Adoption, conformance, contradiction, and the reconfirmed access benchmark for Singapore — all drawn from the pooled study tables.
Interpretation note
Descriptive, not inferential. This market-level report is descriptive. The number of llms.txt adopters observed within a single market is insufficient to support independent statistical inference regarding the relationship between llms.txt adoption and AI-crawler access. The inferential finding for this study is reported in the pooled four-market benchmark, which combines all observable domains into a single paired analysis (n = 1,617).
This separation is deliberate. A single market's adopter sample is too small for its contradiction rate to be read as a proven market effect — Singapore’s 22.2% is observed, not demonstrated. For the hypothesis test, the null result, the effect size, and the interpretation, see the pooled AI Accessibility & Machine-Readable Guidance Benchmark, which carries all inferential claims for this study.