Demo score
90
Current score from the stable public fixture.
CI for AI discoverability.
AnswerLens turns AI discoverability work into reviewable artifacts.
AnswerLens is a CLI-first AI visibility auditor for product websites. Start with the live demo, inspect one current issue and one next fix, then carry the same workflow into your own site and CI.
Key pages
11
Critical pages found in the demo site.
First artifact
share-summary.md
Open this before scorecard and recommendations.
Latest release
v0.3.2
Current published version line.
Primary entry
Open the live demo report
See the full artifact trail and understand what a useful run looks like before you install anything.
Secondary entry
Run the 60-second fixture demo
Reproduce the same artifact set locally so the workflow feels concrete, not theoretical.
Secondary entry
Add the GitHub Action
Use the same artifact contract in pull requests after one local run already feels reviewable.
Bridge step
Run one real-site audit before CI.
After the demo and fixture run, use the 5-minute quickstart on your own public site. That keeps the funnel sequential: demo, fixture, real site, then Action.
Keep the review order fixed every time: share-summary.md, then scorecard.md, then recommendations.md. Use the latest release as the second public front door.
Current signal
What the demo says right now
Demo site: AnswerLens static-good fixture demo
https://fixture.local is the stable hostname inside the public demo fixture, not the AnswerLens site URL.
Top issue: Thin key page (warn) - Add plain-language explanations, evidence blocks, and stronger sections.
Top fix: Tighten structure and schema alignment on key pages - Higher extraction quality and fewer ambiguous summaries.
Open artifacts in order: share-summary.md, then scorecard.md, then recommendations.md.
Proof pages
What to read next
Use these public pages when you need packaging, trust, FAQ, comparison, and adoption context beyond the demo report.
- Pricing and packaging: open-source, BYOK, and release-asset cost model.
- Security and trust: secrets, review flow, and non-goals in one page.
- Docs index: activation references, scoring notes, and GitHub Action usage.
- Starter bundle: external
.github/answerlens/layout before CI adoption. - FAQ: first-run questions in visible, citable language.
- Compare: how AnswerLens differs from dashboard-first AI visibility tools.
- Integrations: GitHub-native and validation surfaces together.
Team fit
Who usually reads next
These use-case pages explain where AnswerLens fits before a team adopts it in CI.
- Product marketing teams: turn homepage, pricing, and comparison gaps into reviewable fixes.
- Developer advocacy teams: strengthen docs, proof pages, and self-serve evaluation paths.
- Open-source maintainers: use README, releases, Pages, and artifacts as the public distribution stack.