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.
π 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.
β¨ Key Features
- β‘ Parallel Multi-Agent Execution: Runs multiple AI agents in parallel for fast, multi-dimensional analysis.
- π€ Generative Engine Optimization (GEO): Prepares your content not just for traditional search engines, but for modern AI search platforms.
- π‘οΈ Built with TypeScript: Fully typed, scalable, and maintainable codebase.
- π― Actionable Insights: Generates structured reports and actionable optimization suggestions.
π οΈ 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.
π 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
β 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!
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