LinkLint IA

LinkLint IA is a web app (with an optional Chrome extension) that continuously audits your information architecture across docs, wikis, and product help centers. It crawls spaces like Confluence, Notion, SharePoint, GitBook, and Zendesk Guide, then flags IA drift: duplicated pages with different titles, orphaned content, dead-end navigation paths, inconsistent taxonomy, and “ghost” categories that no longer match what users search for. It also maps real user journeys by ingesting search queries and click paths (from your help center analytics) to show where the structure fails in practice, not just on paper. This is a combination traditional + AI app: traditional crawling, rules, and graph analysis do the reliable detection; AI is used sparingly to cluster near-duplicate topics, suggest canonical titles, and propose taxonomy merges/splits with confidence scores. The product outputs actionable tickets: “merge these two categories,” “add cross-links,” “rename label,” “move page,” and “create hub page,” with impact estimates based on traffic and search failure rates. Brutal reality: it won’t magically “fix” your IA. It will, however, make IA decay visible and measurable, which is what most teams are missing.