Show HN: Canonry tracks how AI cites you – agent-first, open source
Canonry is an open-source platform designed to track how AI engines cite websites. It allows users to manage citations across various AI platforms and provides tools for visibility checks and traffic analysis. The platform is self-hosted and offers a user-friendly interface for setting up and managing projects.
- ▪Canonry tracks citations from AI engines like Gemini, ChatGPT, Claude, and Perplexity.
- ▪Users can execute fixes and manage multiple clients using a declarative configuration approach.
- ▪The platform includes built-in agents and a command-line interface for easy project management.
Opening excerpt (first ~120 words) tap to expand
Canonry Agent-first AEO operating platform. Open source. Self-hosted. Track citations across Gemini, ChatGPT, Claude, Perplexity, and local LLMs Watch AI engines crawl and refer traffic via server-log ingestion — Cloud Run, Vercel, and the WordPress Traffic Logger plugin today Diagnose against real traffic with built-in GSC, GA4, and Bing Webmaster Execute fixes via WordPress, JSON-LD schema, and indexing submissions Manage many clients declaratively — config-as-code YAML + cnry apply Schedule recurring visibility checks AND traffic syncs, with webhook alerts on regressions Generate client-ready HTML reports — cnry report <project> Drive from your own agent via the 67-tool MCP adapter or webhooks Or use Aero — Canonry's built-in agent that wakes up after every run Every dashboard view has…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.