Show HN: Canonry tracks how AI cites you – agent-first, open source (github.com)

Canonry has launched an open-source, agent-first platform designed to track how AI engines, such as Gemini, ChatGPT, Claude, and Perplexity, cite websites. This tool allows users to monitor citations through server log ingestion from various services, including Cloud Run, Vercel, and a WordPress Traffic Logger plugin. Users can execute fixes directly via WordPress and manage client configurations using a YAML-based approach, enhancing client management with automated visibility checks and traffic synchronization. The platform supports a CLI and a web interface, offering a seamless experience for users to initiate setup, run audits, and generate client-ready reports. This development is significant for the AI and ML community as it provides an accessible way for website owners and marketers to understand and optimize their presence in AI-generated content. With built-in integrations for Google Search Console and analytics tools, Canonry allows users not only to diagnose citation issues but also to take actionable steps to improve visibility and traffic. Its modular architecture, capable of supporting local LLMs and multiple providers, positions Canonry as a versatile solution for tracking and enhancing AI interactions, ultimately enabling users to leverage AI advancements in their content strategies more effectively.