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geo-seo-claude

Python ★ 8.6k updated 27d ago

GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website — citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, and PDF reports. If you want learn how to sell this to real businesses, check out the skool community

A Claude Code plugin that audits websites for AI search visibility, checking if ChatGPT, Perplexity, and Google AI Overviews can find and cite your content instead of just ranking you on Google.

Pythonsetup: easycomplexity 2/5

This is a plugin for the Claude Code AI assistant that analyzes websites and tells you how to make them more visible to AI-powered search tools such as ChatGPT, Perplexity, and Google AI Overviews. The practice it targets is called GEO, short for Generative Engine Optimization. While traditional SEO focuses on ranking in Google search results, GEO focuses on getting your website cited when someone asks an AI chatbot a relevant question. The README presents market projections suggesting AI-referred web traffic has grown sharply and that conventional search traffic may decline significantly by the end of the decade.

Once installed on a machine running Claude Code, the skill adds a set of slash commands you type into the Claude interface. The main command is /geo audit followed by a website URL, which kicks off a multi-step analysis: it fetches the homepage, checks whether AI crawlers are allowed to access the site, scores the content for how likely it is to get quoted by an AI, looks at structured data markup, evaluates brand mentions on platforms like Reddit and Wikipedia, and compiles a prioritized action plan. Quicker single-purpose commands let you check just one aspect at a time, such as the citability score or the robots.txt crawler settings.

The tool also generates client-ready PDF reports, which the README positions as something freelancers and consultants can sell to businesses. Supporting that use case, there is a lightweight prospect management system that tracks clients, generates proposals, and compares monthly progress reports.

Installation is a single shell command on Mac and Linux. The Python scripts run in an isolated virtual environment so they do not affect anything else on your system. The project is aimed at web professionals who want to prepare their clients for a future where AI chatbots are a primary source of website traffic, not just traditional search engines.

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