AnswerLens

AnswerLens is a CLI-first AI visibility auditor for product websites. CI for AI discoverability.

Language: English / 简体中文

Use case

AnswerLens for open-source maintainers.

Open-source maintainers use AnswerLens when the repository itself is the product entry point and the project needs better README, Pages, release, and artifact surfaces before it needs more product modules.

GitHub-native distribution

Why maintainers use it

Audit the repository as public source material

Use the README as the canonical home, Pages as the audit target, and release notes as the second front door.

Review artifacts in GitHub

AnswerLens turns unclear packaging problems into artifacts that can be discussed in issues, pull requests, and Discussions announcements.

Repeat the loop

That makes self-dogfooding practical: improve public proof pages, rerun the audit, and track whether the next round of feedback is more meaningful.

What to keep aligned

Related proof pages

  • Pricing: keep packaging claims concrete and citable.
  • Security: keep trust language honest and reviewable.
  • Compare: explain the public positioning against adjacent tools.
  • Integrations: keep the GitHub-native adoption path visible.
  • FAQ: keep first-run questions cheap to answer.