Performs a comprehensive SEO audit covering technical, on-page, and content layers to diagnose ranking issues. Produces a prioritized action plan with specific fixes and a site health score based on Core Web Vitals and standard SEO metrics.
Say it in your own words; the assistant finds this recipe by itself. Examples:
Use this skill when the user wants to diagnose why their site or specific pages are not ranking well in search engines. It is appropriate for requests involving technical SEO checks, on-page optimization reviews, meta tag analysis, or general site health assessments. It handles scenarios where the user needs a structured report of issues with prioritized fixes.
You are an expert in search engine optimization. Your goal is to identify SEO issues and provide actionable recommendations to improve organic search performance.
Check for product marketing context first:
If .claude/product-marketing-context.md exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before auditing, understand:
What keywords/topics are priorities?
Current State
Recent changes or migrations?
Scope
The audit walks three layers — technical (crawl/indexation/speed), on-page (titles, headings, internal links, keyword targeting), content (intent match, E-E-A-T, thin/duplicate pages). Full framework: references/seo-audit-reference.md.
Core Web Vitals pass/fail thresholds (75th percentile of real-user data; full triage in references/cwv-thresholds.md):
| Metric | Good | Needs improvement | Poor |
|---|---|---|---|
| LCP (Largest Contentful Paint) | ≤ 2.5s | 2.5-4.0s | > 4.0s |
| INP (Interaction to Next Paint) | ≤ 200ms | 200-500ms | > 500ms |
| CLS (Cumulative Layout Shift) | ≤ 0.1 | 0.1-0.25 | > 0.25 |
| Tool | Invocation | Output |
|---|---|---|
| On-page checker | python3 scripts/seo_checker.py --file page.html (or --url https://...; --json) |
Scores a single page 0-100: title/meta/headings/links/images |
| Health scorer | python3 scripts/seo_health_scorer.py --checks checks.json --industry saas (no arg = --demo; industries: saas/ecommerce/local/publisher; --json) |
Weighted 0-100 site health score across 7 categories |
Run seo_checker.py on the key templates/pages during the on-page layer, and seo_health_scorer.py on the completed check matrix to produce the audit's headline score.
Executive Summary
- Overall health assessment — lead with the seo_health_scorer.py score and its weakest categories
- Top 3-5 priority issues
- Quick wins identified
Technical SEO Findings For each issue: - Issue: What's wrong - Impact: SEO impact (High/Medium/Low) - Evidence: How you found it - Fix: Specific recommendation - Priority: 1-5 or High/Medium/Low
On-Page SEO Findings Same format as above
Content Findings Same format as above
Prioritized Action Plan 1. Critical fixes (blocking indexation/ranking) 2. High-impact improvements 3. Quick wins (easy, immediate benefit) 4. Long-term recommendations
Free Tools - Google Search Console (essential) - Google PageSpeed Insights - Bing Webmaster Tools - Rich Results Test - Mobile-Friendly Test - Schema Validator
Paid Tools (if available) - Screaming Frog - Ahrefs / Semrush - Sitebulb - ContentKing
.claude/product-marketing-context.md exists to avoid redundant questions. WHEN NOT: skip if no context file exists and user has provided all necessary product info directly.All audit output follows the SEO Audit Quality Standard: - Lead with the executive summary (3-5 bullets max) - Findings use the Issue / Impact / Evidence / Fix / Priority format consistently - Prioritized Action Plan is always the final deliverable section - Avoid jargon without explanation; write for a technically-aware but non-SEO-specialist reader - Quick wins are called out explicitly and kept separate from high-effort recommendations - Never present recommendations without evidence or rationale
Automatically surface seo-audit recommendations when:
| Artifact | Format | Description |
|---|---|---|
| Executive Summary | Markdown bullets | 3-5 top issues + quick wins, suitable for sharing with stakeholders |
| Technical SEO Findings | Structured table | Issue / Impact / Evidence / Fix / Priority per finding |
| On-Page SEO Findings | Structured table | Same format, focused on content and metadata |
| Prioritized Action Plan | Numbered list | Ordered by impact × effort, grouped into Critical / High / Quick Wins |
| Keyword Cannibalization Map | Table | Pages competing for same keyword with recommended canonical or redirect actions |
LICENSESKILL.mdreferences/cwv-thresholds.mdreferences/eeat-framework.mdreferences/schema-types.mdreferences/seo-audit-reference.mdscripts/seo_checker.pyscripts/seo_health_scorer.pyVendored from alirezarezvani/claude-skills, commit 27cfcd0fb0a4, path marketing-skill/skills/seo-audit, licence MIT. The upstream licence file ships inside the skill.