mxfschr/claude-code-seo

This repo is a working SEO system that runs inside Claude Code, an AI coding assistant. It has two main parts: a 26-section knowledge base written in plain markdown, and 9 slash commands that connect to your real data sources to run live audits. The knowledge base covers topics like how page authority works, internal linking, bottom-of-funnel content strategy, and how AI search engines find and cite sources. The slash commands turn that knowledge into concrete actions against your actual Google Search Console and DataForSEO accounts. The system is built around the idea that SEO should be grounded in real measurements rather than estimates. Instead of using domain rating scores, the commands calculate your proven ranking ceiling from keywords you already rank for in the top 7 positions. Each command connects to live data: Google Search Console is free to use, and DataForSEO is pay-per-call at between zero and $0.18 per command run. Setup takes about 15 minutes. You copy the 9 command files into your Claude Code configuration folder, connect two MCP servers (one for Google Search Console, one for DataForSEO), and then run commands like /seo-analyze or /seo-quick-wins against your domain. A workflow document explains how the commands chain together into a repeating loop: find proven topics, publish content, push near-ranking pages to the first page, and republish old pages that lost ground. The author built this for their own bootstrapped sites and shares it publicly under a Creative Commons license (CC BY-NC-SA 4.0). The license lets you use, share, and adapt it freely for any site you work on, but not resell the material itself as a product or course. The knowledge base is plain markdown and can be read without Claude Code at all. The slash commands require Claude Code because they depend on its slash command and MCP integration. The repo is explicitly described as a work in progress, and the author invites corrections backed by evidence from real search results or tests.