Optifeed Radar vs AI Eyes
Comprehensive feature analysis, ratings breakdown, platform compatibility, and community review comparison.
Optifeed Radar
Know if AI recommends your products. Open source, your keys.
Detailed Feature Comparison Matrix
Compare Other Tools| Dimension | Optifeed Radar |  AI Eyes |
|---|---|---|
| Primary Category | Open Source | Open Source |
| Community Rating | No ratings(0 reviews) | No ratings(0 reviews) |
| Community Upvotes | 10 votes | 63 votes |
| Supported Platforms | Web | Web |
| Tags & Focus | #Marketing#GitHub#Artificial Intelligence#Open Source | #Developer Tools#OpenAI Day#Privacy#Open Source |
| Maker / Company | Independent Developer | Independent Developer |
| Platform Verification | Community Listing | Community Listing |
About Optifeed Radar
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
Frequently Asked Questions
What is Optifeed Radar?
Optifeed Radar is an open-source CLI and MCP server that checks whether AI models recommend your products when users ask general shopper questions.
Which AI models does Optifeed Radar test?
It tests across ChatGPT, Gemini, Perplexity, and Claude using your own API keys.
Is Optifeed Radar open source?
Yes, Optifeed Radar is open source and distributed under the MIT license.
Where does Optifeed Radar run?
Optifeed Radar runs locally using your own API keys.
About AI Eyes
AI Eyes is a permission-first co-presence prototype designed for AI companions. Created by developer Deen Storkey, this open-source tool establishes a privacy-focused, local-first foundation for managing what your digital companions can see and hear.
With its initial v0.1 release, AI Eyes allows users to choose a specific screen or window to capture and gives granular, separate controls for screen, system audio, and microphone inputs. The interface makes it easy to invite named companions and ensures transparency by always displaying when sensing is active. Users can pause or end sessions at any time; ending a session immediately stops all media tracks and resets the session completely.
Built using Codex and GPT-5.6, this prototype is focused entirely on local-first permission, presence, and session-control. Please note that in this foundational stage, no external AI provider or semantic understanding has been connected yet.
Pros of AI Eyes
- Privacy-focused, local-first permission architecture
- Separate, granular control over screen, system audio, and microphone capture
- Clear visual indicators showing when active sensing is occurring
- Open-source code base allowing developers to review and build upon the prototype
Cons of AI Eyes
- It is a prototype (v0.1) and does not yet have an active AI provider or semantic understanding connected
- Limited to foundational capture and session-control features at this stage
Frequently Asked Questions
What is AI Eyes?
AI Eyes is an open-source, permission-first co-presence prototype built to manage what AI companions can access. It provides local-first controls over screen sharing, audio, and session state.
Does AI Eyes currently analyze my screen or voice?
No. In the v0.1 release, no AI provider or semantic understanding is connected. The prototype is currently a local-first foundation focused on permission, capture, presence, and session-control.
How do I control my privacy while using AI Eyes?
AI Eyes lets you choose exactly which screen or window to capture and gives you separate toggle controls for your screen, system audio, and microphone. There is also a clear indicator to show when sensing is active, and you can pause or end the session to stop all media tracks instantly.
What technologies were used to build AI Eyes?
The AI Eyes prototype was built using Codex and GPT-5.6.