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GEO-SEO AnalysisSkill
Added to Onei
MIT
Summary
Claude Code skill that audits a site for visibility in AI answers — citability scoring, AI-crawler access, llms.txt, schema markup and brand-mention scanning — plus classic technical SEO.
Features
- Full parallel audit across five subagents: AI visibility, platforms, technical, content, schema
- Citability scoring for how quotable each content block is to an answer engine
- robots.txt analysis for 14+ named AI crawlers
- llms.txt analysis and generation
- Brand-mention scanning across YouTube, Reddit, Wikipedia and LinkedIn
- Schema markup detection, validation and generation
- Client-ready PDF reports, proposals and month-over-month delta comparisons
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Skill Content
Usage Instructions
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Example Usage
/geo quick https://example.com
A 60-second visibility snapshot: whether AI crawlers are allowed, whether an llms.txt exists, how citable the main content blocks are, and what schema the page already emits. /geo audit runs the same checks across up to fifty pages with the full subagent fan-out.
Description
GEO-SEO Analysis is an Agent Skill built around a bet: that a growing share of search traffic now arrives via AI answers rather than blue links, and that optimising for it is a different job from optimising for Google's index. GEO here means generative engine optimization — being cited by ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews.
The skill exposes about seventeen sub-commands behind a /geo prefix. /geo audit <url> is the full run: it fetches the homepage, classifies the business type, pulls up to fifty pages from the sitemap, then fans out to five subagents in parallel — AI visibility, platform-specific optimisation, technical SEO, content quality and E-E-A-T, and schema markup — before synthesising the findings.
The GEO-specific checks are the interesting part. Citability scoring evaluates whether content blocks are shaped the way answer engines like to quote — the skill targets roughly 134-167 words per block. /geo crawlers reads robots.txt for more than fourteen named AI crawlers, which is where a site quietly blocks itself out of AI answers. /geo llmstxt analyses or generates an llms.txt file. /geo brands scans for brand mentions across the platforms AI models tend to cite, including YouTube, Reddit, Wikipedia and LinkedIn — a proxy for the off-site authority that correlates with being named in an answer.
The rest is agency plumbing, and unusually candid about it: /geo report-pdf produces a client-ready PDF with charts and scores, /geo proposal drafts a proposal from audit data, /geo compare generates a month-over-month delta report, and /geo prospect is a lightweight CRM for moving prospects through a pipeline. If you sell SEO work, that is most of a deliverable pipeline; if you are auditing your own site, you can ignore it.
It needs only Claude Code's standard tools — Read, Grep, Glob, Bash, WebFetch and Write — with no API keys, and installs through a one-line shell script. MIT licensed. Note that the market-context figures the skill quotes are dated 2025 and cite mixed-quality sources; treat them as framing, not evidence.
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