NeverRanked ยท Standards
The public methodology that governs how NeverRanked scores AEO, deploys schema, and treats emerging standards like llms.txt and agent-readiness. Reproducible. Anyone can apply these documents to their own work.
How NeverRanked computes a 0-100 AEO score, what each component measures, and why every score is independently reproducible.
NeverRanked's public position on the llms.txt standard, what good looks like, and current engine adoption.
The four agent task surfaces that matter, what good agent-ready schema looks like, and what should never be exposed as an agent action.
NeverRanked's standing AI-citation measurement system. Weekly reports generated from production data, source-type taxonomy public on GitHub, schema in the repo. Anyone can reproduce the methodology against their own client base.