GitHub: get into awesome-lists and topic pages; ship llms.txt for docs (the one place it works)
Evidence: 7/10 · Large study
Curated lists = the listicle format LLMs over-cite; Claude-Code is the #2 fetcher of llms.txt (Ahrefs) - dev-tool docs are its only evidence-backed use
How to implement this
- llms.txt: What the Data Says Before You Add One →
97% of llms.txt files receive zero traffic, no AI engine confirms reading them, and Google calls them unnecessary — yet one real use case exists.
Sources
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