limelit-co/open

This tool monitors how large language models cite specific brands within their generated responses. It scans outputs from ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. The system is designed for answer-engine optimization visibility rather than traditional search metrics. Developers can observe brand mentions in real time across these platforms. The software operates as a single Go binary that users host on their own infrastructure. It relies on SQLite for local data storage, eliminating the need for complex database management. Users must supply their own API keys to connect with the various AI providers. The architecture follows an MCP-first design to facilitate integration. Potential adopters should verify that they can secure the required API credentials for each supported model. The project claims a lightweight deployment footprint, but individual hardware requirements remain unspecified. The repository has accumulated 152 stars and 152 forks on GitHub, suggesting moderate community activity. First observed crossing Wirecopy's new-project discovery gate today, this tool represents a recent addition to the monitoring landscape.