joeseesun/qiaomu-seo

What it solves

It addresses complex technical SEO challenges for Google, Bing, and AI-driven search engines. Instead of simple keyword density scoring, it focuses on the actual search pipeline—from crawler access and JavaScript rendering to indexability and search intent—to solve issues like missing page indexing, organic traffic drops, and poor visibility in AI search results (e.g., ChatGPT Search, Perplexity).

How it works

The project is implemented as an "Agent Skill" compatible with AI coding assistants like Codex, Claude Code, and Cursor. It analyzes inputs such as website URLs, sitemaps, server logs, and Search Console data to produce actionable technical audits, keyword-to-page maps, and redirect strategies. It distinguishes between direct observations, reasonable inferences, and missing evidence to ensure data integrity.

Who it’s for

It is designed for developers, SEO specialists, and site owners managing SaaS, e-commerce, or large-scale international websites who need to automate technical SEO audits and fixes.

Highlights

• AI Search Optimization: Specifically checks accessibility and boundaries for Google AI Overviews, ChatGPT Search, Copilot, and Perplexity.
• Full-Pipeline Analysis: Covers the entire search chain including robots.txt, canonical tags, hreflang, and JSON-LD.
• Automated Fixes: Can perform minimal code repairs for metadata and sitemaps when explicitly authorized.
• Knowledge-Driven: Maintains a registry of 33 official sources from Google, Bing, and OpenAI to prevent outdated SEO assertions.