AnswerLens is a CLI-first AI visibility auditor for product websites. CI for AI discoverability.
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Review artifacts in the same order each time: share-summary.md, scorecard.md, then recommendations.md.
Apr 21, 2026
AnswerLens is a CLI-first AI visibility auditor for product websites. CI for AI discoverability. ## Start here - Open the live demo report: https://yscjrh.github.io/ai-visibility-auditor/examples/static-good/index.html - Run the 60-second fixture demo: https://github.com/YSCJRH/ai-visibility-auditor#run-the-60-secon...
Apr 21, 2026
AnswerLens is a CLI-first AI visibility auditor for product websites. CI for AI discoverability. ## Start here - Open the live demo report: https://yscjrh.github.io/ai-visibility-auditor/examples/static-good/index.html - Run the 60-second fixture demo: https://github.com/YSCJRH/ai-visibility-auditor#run-the-60-secon...
Apr 15, 2026
AnswerLens is a CLI-first AI visibility auditor for product websites. CI for AI discoverability. ## Start here - Open the live demo report: https://yscjrh.github.io/ai-visibility-auditor/examples/static-good/index.html - Run the 60-second fixture demo: https://github.com/YSCJRH/ai-visibility-auditor#run-the-60-secon...
Apr 15, 2026
AnswerLens is a CLI-first AI visibility auditor for product websites. CI for AI discoverability. ## What ships - Field-level schema-text consistency and evidence density checks - Internal link context and discoverability rules for proof pages - Manual rank import with competitive position score (CPS) - Repeated-samp...
Apr 11, 2026
## What ships AnswerLens `v0.2.0` is a CLI-first, report-driven AI visibility auditor for product websites. This release ships: - `audit` for deterministic AI-readiness checks against live sites or local fixtures - `eval` for prompt-pack benchmarking with OpenAI and Perplexity adapters - `manual-import` for scoring...
Apr 10, 2026
Initial public alpha for AnswerLens. What is supported now: - CLI-first AI-readiness audit for product sites and fixtures - OpenAI-backed experimental eval with normalized citations and raw payload persistence - Markdown, JSON, and static HTML reports - Brief generation for FAQ, compare, and use-case gaps What this...