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Research: current AI discoverability evidence

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
35/100
Issue type
Documentation
Clarity
Mostly clear
Activity status
Active
Domain
documentation

Research direction

Read parent issue #1159, hook #1107, and the referenced SPEC.md to establish the scope and evidence standard. The issue calls for sourced research in docs/research/ on llms.txt, JSON-LD, documentation, and MCP, with each claim traceable to a specification or issue. Refine the stub and agree on scope before starting; done means the findings distinguish honest tactics from manipulative ones and contain no hidden text, prompt injection, or fake endorsements.

Written by the indexing model from the issue text.

Description

area:docs need:refinement Research

Part of #1159.

Outcome

Gather sourced findings into docs/research/ on what answer engines and agents actually use (llms.txt, JSON-LD, docs, MCP), with rules separating honest tactics from manipulative ones.

Hooks

#1107

Notes

  • Honest tactics only: every claim traces to SPEC.md or an issue; no hidden text, prompt injection or fake endorsements.
  • Stub: refine before work starts.
Dominant language
Python
Stars
1
Forks
0
Avg merge
2d 10h
Merged PRs (30d)
39

Getting set up

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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