AnswerLens

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

Language: English / 简体中文

First-run FAQ

AnswerLens FAQ for new visitors and evaluators.

This page answers the recurring first-run questions in visible, citable language so teams can understand the workflow before they wire it into GitHub or compare it with dashboard-first tools.

What people ask first

Common questions

What does AnswerLens audit?

AnswerLens audits whether a product site is easy for AI systems to read, cite, compare, and recommend through reviewable artifacts such as share summaries, scorecards, and recommendations.

Does AnswerLens scrape consumer AI apps?

No. AnswerLens keeps the non-goal explicit: no consumer AI UI scraping and no ranking guarantees on answer surfaces.

Do I need provider API keys to try it?

Not for a basic audit run. Provider keys are only needed when you want eval-mode benchmarking on top of the core site audit.

How do I start in under five minutes?

Start with the live demo report, then run the 60-second fixture demo, then use the 5-minute real-site quickstart before wiring the GitHub Action.

How does pricing work today?

The project is open source, the CLI and Pages docs are public, and eval costs follow a BYOK model because provider usage stays in your own account.

What to open next

Related proof pages

  • Pricing: see the open-source and BYOK packaging model.
  • Security: review trust, secrets, and guardrails.
  • Compare: understand how AnswerLens differs from Profound, Peec AI, and Otterly.
  • Integrations: review the GitHub-native workflow path.
  • Docs: go deeper on activation, scoring, and Action usage.

Built by YSCJRH from repo-native docs, releases, and artifacts. No consumer AI UI scraping. No ranking promises.