Search Engine Optimization (SEO) is evolving rapidly into Generative Engine Optimization (GEO). To help developers and webmasters optimize their content for modern AI search engines, I built Gemini SEO.
🚀 What is Gemini SEO?
Gemini SEO is a high-performance, parallel multi-agent engine built with TypeScript and powered by Google's Gemini API. It automates deep technical SEO and GEO audits using specialized autonomous AI agents running concurrently.
✨ Key Features
- ⚡ Parallel Multi-Agent Execution: Runs multiple AI agents in parallel for fast, multi-dimensional analysis.
- 🤖 Generative Engine Optimization (GEO): Prepares your content not just for traditional search engines, but for modern AI search platforms.
- 🛡️ Built with TypeScript: Fully typed, scalable, and maintainable codebase.
- 🎯 Actionable Insights: Generates structured reports and actionable optimization suggestions.
🛠️ Getting Started
You can easily set up and run the project locally:
bash
# Clone the repository
git clone [https://github.com/navidseyedain/gemini-seo.git](https://github.com/navidseyedain/gemini-seo.git)
# Navigate to directory
cd gemini-seo
# Install dependencies
npm install
Make sure to set your Gemini API key in your environment variables before running the engine.
🔗 Open Source & Contribution
The project is completely open-source under the MIT License. I would love to get feedback from the community!
GitHub Repository: navidseyedain/gemini-seo
⭐ If you find this project useful, please consider giving it a star on GitHub! It helps the project reach more developers.
Feel free to leave your thoughts, questions, or feature requests in the comments below!
Top comments (1)
The concept of Parallel Multi-Agent SEO & GEO Engine presented in this article is truly innovative and sheds light on the future of search engine optimization.
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