As consumer behavior shifts toward asking AI assistants for product recommendations rather than searching traditional engines, brands face a new visibility challenge. Users rarely ask AI for a specific brand—instead, they ask for broad solutions, such as the best laptop, and receive a curated shelf of products in response. Optifeed Radar is an open-source CLI and MCP server designed to help you track whether major AI models are actually recommending your products.

Built for developers, marketers, and founders, Optifeed Radar operates locally using your own API keys. By simulating real shopper questions that never explicitly mention your brand across leading platforms like ChatGPT, Gemini, Perplexity, and Claude, the tool reveals invaluable insights. It highlights which of your products are being missed, identifies which rival products are taking those coveted recommendation slots, and allows you to inspect raw answers for every evaluated score.

Pros of Optifeed Radar

Open-source software licensed under the MIT license
Runs locally with your own API keys for enhanced privacy and control
Tests across major AI models including ChatGPT, Gemini, Perplexity, and Claude
Provides visibility into competitor positioning by showing which rivals take your slots

Cons of Optifeed Radar

Requires technical comfort with using a CLI and MCP server
Requires your own API keys to query the different AI platforms
Focused specifically on AI recommendation tracking, requiring other tools for optimization