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home / SEO / SEO GEO Skill by @seranking
The skill is the skills/seo-geo folder inside that repository. Copy it into the folder your agent loads skills from; check your agent's documentation for where that is.
URL-level Generative Engine Optimization (GEO) analysis.
URL-level generative engine optimisation. For a specific page it pulls AI Overview citation data for its main keywords and shows which queries cite the page and which do not.
The original SKILL.md is organised into these sections:
Written and maintained by @seranking. It is published under the MIT license, which allows reuse with attribution. SkillDirectory does not claim authorship: this page adds our own review and links back to the original, and the skill's text belongs to its author.
> Example output: [examples/seo-geo-notion-share-pages-20260514/GEO.md](../../examples/seo-geo-notion-share-pages-20260514/GEO.md) # Page-Level GEO (Generative Engine Optimization) For one URL, surface its AI-search citation footprint and recommend the page-level changes that would improve citability across AI Overview, Perplexity, ChatGPT, and other LLM-powered search engines. Different from the domain-level brand-vs-brand share-of-voice — this is page-level diagnosis. ## Prerequisites - SE Ranking MCP server connected. - Claude's `WebFetch` tool available. - User provides: a target URL. Optional: target country (default `us`), specific keywords to focus on (defaults: the URL's top-5 traffic-weighted keywords from SE Ranking). ## Process 1. **Validate target & preflight.** See `skills/seo-firecrawl/references/preflight.md` for the canonical 3-stage preflight (credit balance, Firecrawl availability, Google APIs). Skill-specific notes: …
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