🌍 E-GEO Generative Engine Optimization for AI-Powered Search 🚀 One command. Premium results. Rank higher in ChatGPT, Perplexity, Claude, and Gemini. 📖 Docs • 🐛 Issues • 💬 Discussions • 📝 Research Paper 🤖 AI-Assisted Development — See what's AI-generated vs human-authored ✨ What is E-GEO? E-GEO is a zero-effort Generative Engine Optimization toolkit that transforms your website content to rank higher in AI-powered search engines. Based on the E-GEO research paper, it applies the 10 universal features that consistently improve AI-engine rankings.
| Stars | 204 |
| Forks | 58 |
| Language | Python |
| Category | MCP 服务器 |
| License | MIT |
| Quality Score | 64.5322287352084/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-17 |
| Created | 2026-01-12 |
| Platforms | claude-code, cli, gemini, mcp, python |
| Est. Tokens | ~16k |
These tools work well together with eGEOagents for enhanced workflows:
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eGEOagents is Open-source Generative Engine Optimization (GEO) & Answer Engine Optimization (AEO) toolkit — optimize content to rank in ChatGPT, Perplexity, Gemini & Claude. AI SEO / LLM SEO. CLI, Claude Code, MCP.. It is categorized as a MCP 服务器 with 204 GitHub stars.
eGEOagents is primarily written in Python. It covers topics such as aeo, ai-search-optimization, ai-seo.
You can find installation instructions and usage details in the eGEOagents GitHub repository at github.com/mverab/eGEOagents. The project has 204 stars and 58 forks, indicating an active community.
eGEOagents is released under the MIT license, making it free to use and modify according to the license terms.