{"repo":"mverab/eGEOagents","free":true,"listed":false,"github":"https://github.com/mverab/eGEOagents","clone":"git clone https://github.com/mverab/eGEOagents.git","description":"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.","language":"Python","stars":163,"topics":["content-optimization","generative-engine-optimization","geo","schema-markup","aeo","ai-search-optimization","ai-seo","ai-visibility","answer-engine-optimization","chatgpt"],"license":"MIT","category":"ai-agents","readme_excerpt":"🌍 E-GEO Generative Engine Optimization (GEO) & Answer Engine Optimization (AEO) 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 an open-source Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) toolkit that transforms your website content to rank higher in AI-powered search engines — including ChatGPT , Perplexity , Google AI Overviews , Claude , and Gemini . Also known as AI SEO or LLM SEO , GEO is the practice of optimizing content so that generative AI engines can crawl, understand, cite, and recommend it. E-GEO automates this entire process. Based on the E-GEO research preprint (arXiv:2511.20867), it applies 10 research-derived features — including competitive framing, citation optimization, structured data, and semantic density improvements — as documented in the paper's experiments. - ✅ No learning curve — One command to optimize - ✅ Research-backed — Based on published GEO research - ✅ Production-ready — Copy-paste optimized content - ✅ Multi-engine — Optimizes for ChatGPT, Perplexity, Gemini, Claude & Google AI Overviews - ✅ Full pipeline — Analyze → Rank → Rewrite → Schema in one command ↓ --- 📈 Why AI Visibility Matters in 2026 AI search engines give one synthesized answer and cite a handful of sources. If your site ","default_branch":null,"files":null,"tree":[],"storefront":"/r/mverab","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/mverab/eGEOagents/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}