Your knowledge base is the foundation of AI-powered support. If it is full of duplicates, outdated articles, or thin content, your AI will give bad answers — no matter how good the underlying model is.
This free Knowledge Base Evaluator analyzes your help center content to find the gaps that will undermine AI performance. Paste your public help center URL, or upload a CSV export of your articles, and get an instant health score with a detailed breakdown of what needs attention.
The analyzer detects duplicate and near-duplicate articles that confuse AI retrieval, identifies thin content that lacks the depth AI needs to generate accurate responses, and flags stale articles that may contain outdated information. The result is a prioritized list of improvements that directly impact AI support quality.
If you paste a URL, the tool reads only your public help center pages and stores nothing. If you upload a CSV, the analysis runs entirely in your browser, so the file never leaves your machine.
This tool is designed for support operations teams, knowledge managers, and CX leaders who are preparing their content for AI deployment or auditing an existing knowledge base. No signup required.
Yes. If you paste a URL, we only read your public help center pages and nothing is stored. If you upload a CSV, the analysis runs entirely in your browser and the file never leaves your machine.
Just your public help center URL. The tool reads public articles from Zendesk and Intercom help centers, or any help site with a sitemap. You can also upload a CSV export from Zendesk, Intercom, Freshdesk, Notion or similar, with article titles, content, and ideally update dates.
The score reflects your knowledge base's readiness for AI across content coverage, article freshness, duplicate detection, and thin content identification. A higher score means your KB is better positioned for AI-powered support.