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aelena/seo-geo-audit

Claude Code skill — audit frontend codebases for SEO and Generative Engine Optimization (GEO)

対応Claude Code~Codex CLI~Cursor
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ドキュメント

seo-geo-audit

Audit a frontend repository for classical SEO (the things Google's crawler cares about) and GEO — Generative Engine Optimization, the things LLMs care about when they read your content. Outputs a markdown report card with severities, file:line citations, and concrete fixes.

The novel value is GEO. Classical SEO scanners have existed for years. But "is your site easy for a language model to extract, cite, and reason about?" is a question only Claude can really answer — because Claude is the consumer.

Invocation

TriggerBehavior
/audit or /seo-geo or /seo-geo-auditStandard audit: SEO + GEO, root-level + key routes, ~30 files max
/audit deepWalk all routes/pages discoverable in the repo. Slower, more thorough
/audit seoClassical SEO only
/audit geoGEO only
/audit fixAudit, then propose concrete file edits for each high-severity finding (ask before each edit)
/audit report.mdWrite the report to a file instead of showing inline
Natural language: "audit this site for SEO", "is this LLM-friendly", "check my structured data"Same

Stop / disable

Not session-based. One-shot. Just don't invoke it.

Execution flow

  1. Detect framework by reading package.json. Look for next, astro, nuxt, svelte-kit, remix, gatsby, vite, vue, or fall back to plain HTML. The framework determines file globs and where pages live (pages/, app/, src/routes/, src/pages/, content/, etc.).
  2. Discover content sources via scripts/discover.sh <framework>.
  3. Extract <head> content and structured data via scripts/extract-head.sh and scripts/find-jsonld.sh. For JSX/TSX, look for <Head>, <Helmet>, <Metadata>, or framework-specific patterns (Next.js metadata exports, Astro frontmatter, Nuxt useHead).
  4. Run checks. Each check from checks/seo.md and checks/geo.md is a piece of Claude reasoning over the extracted data — not a regex. That's the point: classical scanners can tell you the meta tag exists; only Claude can tell you whether the description is good.
  5. Score per category using checks/scoring.md. Letter grade + numeric score per category.
  6. Render the report from templates/report-card.md, filling in findings with file:line citations, severities, and fix suggestions.
  7. If fix mode: for each high-severity finding, propose a concrete edit using the standard preview-then-apply pattern. Never apply without user confirmation.

Cross-skill awareness

If llms-txt skill is installed, recommend running it when GEO findings include "missing llms.txt". If a11y-audit skill exists, point to it at the bottom of every report ("This audit covers SEO and GEO. For accessibility, run /a11y-audit.").

Safety guardrails

  • Read-only by default. Only fix mode proposes edits, and every edit needs confirmation.
  • Don't fetch the live site. Audit the source repo. Live-site auditing is Lighthouse / PageSpeed territory — different tools, different concerns.
  • Don't assume framework conventions. Check package.json first. A pages/ folder means different things in Next vs Nuxt vs Gatsby vs vanilla.
  • Never modify policy files (robots.txt, noai meta tags, llms.txt) without explicit user request — those are stakeholder decisions, not technical ones.
  • Skip generated/build artifacts. Don't audit dist/, build/, .next/, out/, .nuxt/. Audit source.
  • Cap deep audits. Even in deep mode, refuse to scan more than ~500 files without a --no-limit confirmation.

Files in this skill

  • SKILL.md — this file
  • checks/seo.md — classical SEO checklist with severities
  • checks/geo.md — GEO checklist (the novel checks)
  • checks/scoring.md — how findings map to a 0–100 grade per category
  • templates/report-card.md — markdown template for the final report
  • scripts/discover.sh — find frontend source files by framework
  • scripts/extract-head.sh — pull <head> content from HTML/JSX/MDX
  • scripts/find-jsonld.sh — extract <script type="application/ld+json"> blocks
  • scripts/check-llms-txt.sh — does the repo have an llms.txt?
  • examples/good-site-report.md — example report on a well-optimized site
  • examples/bad-site-report.md — example report on a typical greenfield site

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