# Awesome GEO By **luka2chat** ยท Skills Curated awesome-list of GEO resources for developers and marketers optimizing content for AI answer engines like ChatGPT, Perplexity, and Google AI Overviews. - Source: https://github.com/luka2chat/awesome-geo - Repository: https://github.com/luka2chat/awesome-geo - Tags: geo, aeo, ai-search, seo, open-source, curated-list, llm-seo, content-optimization - Pricing: free - Upvotes: 0 ## Features - Curated index of GEO and AEO research papers, including Princeton, ICLR 2026, and e-commerce benchmarks - Links to 14+ AI search monitoring platforms with one-line descriptions - Covers content optimization tools, brand monitoring, structured data, and AI citation analytics - Lists 10+ AI search engines across conversational, enhanced, and domain-specific categories - GEO Checklist section for quick-start action items - Available in English and Chinese (README_CN.md) - CC0-licensed, community-maintained with pull requests open --- ## Why it matters AI answer engines are replacing the blue-link SERP for millions of queries, and content that does not get cited inside an AI answer is invisible. Generative Engine Optimization (GEO) is the discipline of making your content quotable, crawlable, and trustworthy to ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. Awesome GEO is a single, maintained index of the research, tools, and guides that practitioners actually need. ## The big picture The repo traces the discipline to its academic roots, linking the Princeton University paper that introduced GEO and demonstrated up to 40% visibility improvements, plus an ICLR 2026 paper (AutoGEO) and a 7,000-plus-query e-commerce benchmark (E-GEO). That research grounding separates this list from blog-driven SEO roundups. ## How it works Awesome GEO is a GitHub README organized into nine sections: Learning Resources (papers, guides, video tutorials, podcasts), Tools and Platforms (monitoring, content optimization, brand monitoring, structured data, AI citation analytics), AI Search Engines (conversational, enhanced, domain-specific), GEO Strategies, Analytics and Monitoring, Case Studies, Communities and Forums, News and Trends, and a GEO Checklist. Each entry carries a one-line description and a direct link. The list is available in English and Chinese. ## Zoom in The tools section distinguishes between AI search monitoring platforms (14-plus entries including Geol.ai, OptimizeGEO, and Surfeo) and content optimization tools (Frase, Clearscope, Surfer SEO, MarketMuse). Structured data tooling covers Schema.org, Google's Rich Results Test, and WordPress schema plugins, while AI citation analytics surfaces platforms like Maximus Labs and BrightEdge that track brand mentions across AI responses. ## Yes, but Awesome GEO is a reference list, not a runnable tool. It does not score your site, generate schema, or fix your robots.txt. Builders who want hands-on automation should layer in a skill like geo-skills or best-aeo-skill alongside this index. The list also skews toward commercial SaaS platforms in the tools sections, so budget-conscious teams will need to filter. ## The bottom line Awesome GEO is the fastest way to orient yourself in the GEO landscape: one repo, nine sections, academic papers through practitioner guides through monitoring dashboards. Bookmark it when starting a GEO program; come back when you need to compare tooling categories. ## FAQ ### What is Awesome GEO? Awesome GEO is a community-curated GitHub repository that indexes resources for Generative Engine Optimization (GEO), the practice of making website content citable by AI answer engines. It collects research papers, practitioner guides, video tutorials, monitoring platforms, content optimization tools, and structured-data tooling in one organized README. The list is CC0-licensed and available in English and Chinese. ### How do I use Awesome GEO? Browse the README on GitHub at github.com/luka2chat/awesome-geo and navigate the nine sections using the table of contents. Each entry is a linked resource with a one-line description. There is nothing to install; the value is the curated index itself. A GEO Checklist section at the bottom of the README provides a starting action list. ### Is Awesome GEO free or open source? Yes, the repository is published under the CC0-1.0 (Creative Commons Zero) license, meaning it is effectively public domain and free to use, share, or adapt. The tools and platforms it links to each have their own separate pricing models, ranging from free open-source projects to enterprise SaaS. ### What is Awesome GEO best for? Awesome GEO is best used as an orientation layer when starting a GEO program or evaluating tooling options. It surfaces the foundational academic literature (including the Princeton paper showing up to 40% AI visibility improvements) alongside practitioner guides from Search Engine Land, Backlinko, Semrush, and Ahrefs, so teams can build a defensible strategy before selecting tools. ### How does Awesome GEO compare to runnable GEO tools like geo-skills or best-aeo-skill? Awesome GEO is a reference index, not an executable tool; it does not crawl your site, compute a GEO score, or generate schema fixes. Tools like geo-skills (a Claude Code skill pack) and best-aeo-skill (an MIT-licensed Claude Code skill with 33 evidence collectors and a 4-vector GEO Score) actually run audits and produce prioritized fix lists. The practical pattern is to use Awesome GEO to understand the landscape and then pick a runnable skill for hands-on work. ### What are the limitations of Awesome GEO? Because it is a curated list maintained by contributors, the freshness of any given entry depends on pull requests being merged. Tool descriptions are brief one-liners, so deeper evaluation requires visiting each linked platform directly. The list skews toward commercial SaaS monitoring platforms and does not provide an open-source-only filter, which can make it harder for budget-constrained teams to quickly find no-cost options. --- [View on Analog](https://analoghq.ai/luka2chat/skills/awesome-geo)