AnswerLens audits your public website for brand clarity, citation readiness, content depth, schema, llms.txt, and AI answer visibility. It gives you a score, top issues, and practical fixes before AI answer engines misunderstand or ignore your product.
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Maker
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Hey Product Hunt 👋
I built AnswerLens because AI search is changing how people discover products, but most websites still explain themselves only for humans and traditional search engines.
AnswerLens audits a public website for AI search readiness. It checks whether the site clearly explains the brand, category, audience, proof points, cite-worthy pages, schema, llms.txt, and supporting content.
It is not a live ChatGPT/Gemini/Perplexity ranking tracker. It is a readiness audit: paste a URL, get a score, see what is missing, and get practical fixes.
I would love feedback from founders, marketers, indie hackers, and SaaS teams preparing for AI-driven discovery.
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good stuff @stfade, maybe add some educational resources as well? something like 'learn more about citation readiness/llms.txt'
I’m planning to add a small learning section with practical examples around citation readiness, llms.txt, schema, and answer-ready pages. The current version focuses on the audit first, but educational resources would definitely make the fixes easier to understand and apply.
good stuff @stfade, maybe add some educational resources as well? something like 'learn more about citation readiness/llms.txt'
Thanks a lot @arag_agrawal! That’s a great point.
I’m planning to add a small learning section with practical examples around citation readiness, llms.txt, schema, and answer-ready pages. The current version focuses on the audit first, but educational resources would definitely make the fixes easier to understand and apply.
mailX by mailwarm
How do you measure whether a site is actually citation ready?