Full Website SEO Audit

Process

1. Fetch homepage: use scripts/fetch_page.py to retrieve HTML
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-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 python scripts/google_auth.py --check)
   • seo-backlinks -- Backlink profile data: DA/PA, referring domains, anchor text, toxic links (spawn when Moz or Bing API credentials detected via python scripts/backlinks_auth.py --check, or always include Common Crawl domain-level metrics)