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Agentic SEO Skill routes website audits, technical SEO, content review, structured data, sitemaps, images, and GEO work to specialized skills and agents. Users can request a focused check or a full-site audit in natural language, while optional scripts collect page, crawl, performance, and metadata evidence for reports and prioritized action plans. It installs in native formats for Claude Code, Codex, Cursor, Windsurf, and several other agent environments; some collectors require Python packages or external services.

SuperSEO Skills lets an agent start with a URL, keyword, or topic, research the page, search results, and competitors, then produce SEO audits, content plans, drafts, and other growth work. It is built for live, one-off research workflows rather than historical Search Console analysis or ongoing site monitoring.

Give the skill a URL to run either a basic or full SEO audit and receive an HTML report organized around concrete fixes. Deterministic Python checks cover items such as HTTP behavior, robots and sitemaps, metadata, canonicals, and structured data, while the agent handles semantic judgments like keyword intent, content quality, and expected page type.

This skill gives AI agents a structured framework for local SEO, Google Business Profile work, map-pack rankings, reviews, and visibility across ChatGPT, Gemini, Grok, and Google AI surfaces. It distinguishes map visibility through SoLV from AI mentions through SAIV; with the Local Falcon MCP it can analyze live data and scans, while without MCP it provides guidance and best practices.