Full Website SEO Audit

Process

1. Render homepage: use "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run render_page.py <url> --mode auto --json to capture raw HTML, rendered HTML, extracted text, SPA status, and accessibility data when needed
2. Detect business type: analyze homepage signals per seo orchestrator
3. Crawl site: follow internal links up to 500 pages, respect robots.txt
4. Delegate to subagents (if available, otherwise run inline sequentially):
   • seo-technical -- robots.txt, sitemaps, canonicals, Core Web Vitals, security headers
   • seo-content -- E-E-A-T, readability, thin content, AI citation readiness
   • seo-schema -- detection, validation, generation recommendations
   • seo-sitemap -- structure analysis, quality gates, missing pages
   • seo-performance -- LCP, INP, CLS measurements
   • seo-visual -- screenshots, mobile testing, above-fold analysis
   • seo-geo -- AI crawler access, llms.txt, citability, brand mention signals
   • seo-agentic -- Lighthouse Agentic Browsing fraction (X/N), accessibility tree for agents, AI agent access policy, Markdown and discovery files, WebMCP (always include in full audits; its findings feed AI Search Readiness)
   • seo-local -- GBP signals, NAP consistency, reviews, local schema, industry-specific local factors (spawn when Local Service industry detected: brick-and-mortar, SAB, or hybrid business type)
   • seo-maps -- Geo-grid rank tracking, GBP audit, review intelligence, competitor radius mapping (spawn when Local Service detected AND DataForSEO MCP available)
   • seo-google -- CWV field data (CrUX), URL indexation (GSC), organic traffic (GA4) (spawn when Google API credentials detected via "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run google_auth.py --check)
   • seo-matomo -- Matomo Reporting API: organic traffic, landing pages, device / country splits, referrer analysis (spawn when Matomo credentials detected via "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run matomo_auth.py --check; runs alongside seo-google when both are configured, or as a GA4 alternative when GA4 is not)
   • seo-backlinks -- Backlink profile data: DA/PA, referring domains, anchor text, toxic links (spawn when Moz or Bing API credentials detected via "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run backlinks_auth.py --check, or always include Common Crawl domain-level metrics)
   • seo-cluster -- Semantic clustering analysis (spawn when content strategy signals detected: blog, pillar pages, topic clusters)
   • seo-sxo -- Search experience analysis: page-type mismatch, user stories, persona scoring (always include in full audits)
   • seo-drift -- Drift analysis: compare against stored baseline (spawn when drift baseline exists for the URL via "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run drift_history.py <url>)
   • seo-ecommerce -- Product schema, marketplace intelligence (spawn when E-commerce industry detected)
5. Score -- aggregate into SEO Health Score (0-100)
6. Persist audit artifacts -- write all outputs under {domain}-audit/
7. Report -- generate prioritized action plan and optional PDF/HTML report

Crawl Configuration

Max pages: 500
Respect robots.txt: Yes
Follow redirects: Yes (max 3 hops)
Timeout per page: 30 seconds
Concurrent requests: 5
Delay between requests: 1 second

Output Files

• {domain}-audit/FULL-AUDIT-REPORT.md: Comprehensive findings
• {domain}-audit/ACTION-PLAN.md: Prioritized recommendations (Critical > High > Medium > Low)
• {domain}-audit/audit-data.json: Structured audit envelope for report generation
• {domain}-audit/findings/*.md: Per-category specialist findings (technical.md, content.md, schema.md, performance.md, visual.md, etc.)
• {domain}-audit/screenshots/: Desktop + mobile captures (if Playwright available)
• PDF Report (recommended): Generate a professional A4 PDF using "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run google_report.py --type full --data {domain}-audit/audit-data.json --domain <domain> --output-dir {domain}-audit/. This produces a white-cover enterprise report with TOC, executive summary, charts (Lighthouse gauges, query bars, index donut), metric cards, threshold tables, prioritized recommendations with effort estimates, and implementation roadmap. Always offer PDF generation after completing an audit.

Structured Audit Data Envelope

Write {domain}-audit/audit-data.json with this shape so "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run google_report.py --type full --data {domain}-audit/audit-data.json --domain <domain> --output-dir {domain}-audit/ can generate a report even when Google API data is unavailable:

{
  "summary": {
    "health_score": 0,
    "business_type": "detected type",
    "top_findings": [],
    "quick_wins": []
  },
  "categories": [
    {
      "name": "Technical SEO",
      "score": 0,
      "what_works": [],
      "findings": [
        {
          "title": "Finding title",
          "severity": "Critical|High|Medium|Low|Info",
          "description": "Evidence-backed detail",
          "recommendation": "Specific fix"
        }
      ]
    }
  ],
  "action_plan": {
    "phases": [
      {"name": "Phase 1: Critical Fixes", "timeframe": "Week 1", "items": []},
      {"name": "Phase 2: High-Impact Improvements", "timeframe": "Weeks 2-3", "items": []},
      {"name": "Phase 3: Content & Authority", "timeframe": "Month 2", "items": []},
      {"name": "Phase 4: Monitoring & Iteration", "timeframe": "Ongoing", "items": []}
    ]
  },
  "artifacts": {
    "findings_dir": "findings/",
    "screenshots_dir": "screenshots/"
  }
}

Scoring Weights

Report Structure

Executive Summary

• Overall SEO Health Score (0-100)
• Business type detected
• Top 5 critical issues
• Top 5 quick wins

Technical SEO

• Crawlability issues
• Indexability problems
• Security concerns
• Core Web Vitals status

Content Quality

• E-E-A-T assessment
• Thin content pages
• Duplicate content issues
• Readability scores

On-Page SEO

• Title tag issues
• Meta description problems
• Heading structure
• Internal linking gaps

Schema & Structured Data

• Current implementation
• Validation errors
• Missing opportunities

Performance

• LCP, INP, CLS scores
• Resource optimization needs
• Third-party script impact

Images

• Missing alt text
• Oversized images
• Format recommendations

AI Search Readiness

• Citability score
• Structural improvements
• Authority signals

Priority Definitions

• Critical: Blocks indexing or causes penalties (fix immediately)
• High: Significantly impacts rankings (fix within 1 week)
• Medium: Optimization opportunity (fix within 1 month)
• Low: Nice to have (backlog)

DataForSEO Integration (Optional)

If DataForSEO MCP tools are available, spawn the seo-dataforseo agent alongside existing subagents to enrich the audit with live data: real SERP positions, backlink profiles with spam scores, on-page analysis (Lighthouse), business listings, and AI visibility checks (ChatGPT scraper, LLM mentions).

Google API Integration (Optional)

If Google API credentials are configured ("${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run google_auth.py --check), spawn the seo-google agent to enrich the audit with real Google field data: CrUX Core Web Vitals (replaces lab-only estimates), GSC URL indexation status, search performance (clicks, impressions, CTR), and GA4 organic traffic trends. The Performance (CWV) category score benefits most from field data.

Matomo Integration (Optional)

If Matomo credentials are configured ("${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run matomo_auth.py --check), spawn the seo-matomo agent to enrich the audit with self-hosted analytics: organic visits trend, top landing pages, device and country breakdowns, channel / search-engine split, and organic keywords. Works as a GA4 alternative (when only Matomo is configured) or as a complement (when both GA4 and Matomo are present). Matomo numbers will not match GA4 exactly because of segmentation differences (referrerType==search vs sessionDefaultChannelGroup == "Organic Search") and attribution-window rules.

Google Update Correlation

Before attributing a traffic or ranking change to anything, list the confirmed Google updates in that window from the primary-source ledger:

"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run seo_updates.py --since <yyyy-mm> --json

Every entry cites a Google-owned URL. If freshness.stale is true, say the ledger may miss recent updates and check status.search.google.com before drawing conclusions. A date overlap is a hypothesis, never proof of cause.

Error Handling