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Optifeed Radar
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About Optifeed Radar
Optifeed Radar is an open-source tool designed to assess how frequently a brand or product is recommended by AI engines. It operates by running buyer questions across multiple configured AI providers, measuring visibility through brand mentions, product appearances, and their positions within AI-generated answers. The tool allows users to build and edit brand profiles, generate category-specific buyer questions, and query real AI engines using their own API keys. Results include brand scores, product visibility metrics, and raw evidence such as prompts and captured answers, all stored locally for transparency and control. Optifeed Radar supports local execution via a command-line interface (CLI), integrates with MCP for AI agents, and offers a Skill for agent workflows, ensuring that provider requests are processed through the user’s own API keys without hidden data collection or third-party access to queries. The tool is particularly useful for brands, marketers, and researchers seeking to understand and improve their visibility in AI-driven recommendations.
Key features
- Brand and product visibility scoring
- Local storage of prompts and captured answers
- CLI for one-command execution
- MCP server for AI agent integration
- Skill for agent workflows
- Editable brand profiles
- Category-specific buyer question generation
- Point-in-time snapshot comparisons
Use cases
- Auditing AI recommendation visibility for a brand
- Comparing product visibility across competitors
- Evaluating AI responses for specific buyer questions
Pros
- Open-source and MIT licensed
- Runs locally with no subscription required
- Supports multiple AI engines (OpenAI, Gemini, Claude, Perplexity)
- Stores raw evidence and prompts locally
- Available as CLI, MCP, and Skill for AI agents
Cons
- Requires user-provided API keys for AI engine access
- No cloud-hosted version available
- Limited to configured AI providers
- No built-in scheduling for repeated checks
Frequently asked questions about Optifeed Radar
What does Optifeed Radar do?
Optifeed Radar evaluates how frequently a brand or product is recommended by AI engines. It runs buyer questions across configured AI providers and measures visibility by tracking brand mentions, product appearances, and their positions in answers.
Who should use Optifeed Radar?
The tool is designed for businesses, marketers, and developers who want to assess and improve their product visibility in AI-generated recommendations. It is particularly useful for those managing brand profiles or competing in specific categories.
How does Optifeed Radar work?
Users build editable brand profiles, generate category-specific buyer questions, and query real AI engines using their own API keys. The tool then scores visibility, tracks mentions, and preserves raw evidence such as prompts and captured answers locally.
Does Optifeed Radar require a subscription?
No, Optifeed Radar is 100% open-source and MIT licensed with no subscription required. Users only need to provide their own API keys for the AI providers they configure.
Can Optifeed Radar be used with AI agents?
Yes, Optifeed Radar offers an MCP integration, a Skill for agent workflows, and a CLI for local execution. It can be installed for use with agents like Codex, Claude Code, and Cursor.
Where are the results and evidence stored?
All results, including brand scores, product visibility metrics, and raw evidence such as prompts and captured answers, are stored locally on the user's machine.
