AI SEO Toolkit
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- AlicenseNot gradedqualityAmaintenanceMerges your Google Search Console data with a live crawl of your site to run a comprehensive technical SEO audit inside Claude, providing prioritized findings and paste-ready fixes.086Apache 2.0
- AlicenseAqualityCmaintenanceIntegrates SEO analysis and Google Search Console data directly into Claude Code and Cursor. Performs real-time site audits, detects technical SEO issues, validates meta tags, generates structured data, and provides AI-powered recommendations for both production sites and local development servers.191 npm3MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants such as Claude, ChatGPT, Cursor, and Claude Code to run 25+ specialized SEO checks on any URL, generate XML sitemaps and robots.txt files, extract brand design elements, and audit technical SEO, content quality, mobile responsiveness, and security.MIT
TDQS
Scored across 8 tools
Each tool targets a distinct SEO task (GSC audit, traffic drop diagnosis, keyword clustering, AI citations, competitor gap, content refresh, schema, article draft). Minor overlap exists between gsc_audit and traffic_drop for diagnosing rankings, and between competitor_gap and content_refresh for content auditing, but descriptions clarify the intended use.
All tools use consistent snake_case with noun_noun or acronym_noun patterns (e.g., traffic_drop, ai_citations). No mixing of conventions, and names are predictable and readable.
8 tools is well within the ideal 3–15 range for a focused SEO toolkit. Each tool has a clear distinct workflow and earns its place.
Covers keyword research, content creation/refresh, competitor analysis, schema markup, AI citations, and diagnostic workflows from GSC/traffic data. Minor gaps like backlink analysis or technical site audits exist but are beyond the apparent AI-era content focus.