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AI Agent2026
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GEO-SEO Claude Code Skill

Optimizes websites for AI-first search by providing GEO-focused SEO audits: citation-readiness scoring, AI-crawler access checks, schema generation, platform-specific recommendations, and client-ready PDF reports — delivered as a Claude Code skill with CLI commands.

Introduction

AI assistants and answer engines are shifting where discovery happens: fewer clicks to traditional SERPs, more direct citations from a small set of authoritative pages. This Claude Code skill reframes local/brand SEO for that era by measuring and improving "GEO" visibility — i.e., how likely a page is to be cited or surfaced by AI platforms — and producing prioritized, client-ready deliverables.

What Sets It Apart
  • GEO-first framing, not just keywords: scores pages for AI citation readiness (preferred passage lengths, fact density) so content is more likely to be used as an AI source — not merely ranked in classic SERPs, which changes how you prioritize drafting and structuring pages.
  • Platform-aware audits: checks crawler access for many AI bots, evaluates readiness for specific platforms (ChatGPT/Claude/Perplexity/Google AI Overviews) and gives platform-specific recommendations — so you can target where your citations matter most instead of applying one-size-fits-all SEO fixes.
  • Integrated reporting & client deliverables: generates markdown and PDF reports with composite GEO scores, actionable quick wins, and visualizations — useful for agencies selling GEO services or for in-house teams needing reproducible audits.
  • Skill + CLI workflow: runs inside Claude Code with dedicated commands (audit, citability, crawlers, schema, report-pdf), enabling scripted, repeatable audits across many domains and integration into agent-driven workflows.
Who It's For & Tradeoffs

Great fit if you run an agency or marketing team that needs repeatable audits focused on AI-driven discovery, want client-facing reports, or are building workflows around Claude Code/agent automation. Look elsewhere if you need deep, crawl-scale backlink analysis or a full traditional SEO platform (this focuses on AI visibility and structured data readiness rather than exhaustive backlink crawling). Also expect ongoing maintenance: AI crawler lists, llms.txt practices and platform signals evolve rapidly, and the tool assumes a Claude Code runtime and local data storage for prospects/reports.

Information

  • Websitegithub.com
  • Authorszubair-trabzada
  • Published date2026/02/18

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