SEO Analyzer is a CrewAI multi-agent skill that performs deep on-page SEO audits. Specialized agents analyze different aspects: content quality, technical SEO, structured data, page speed, and competitor positioning. It produces an actionable report with prioritized recommendations and estimated traffic impact.
SEO is a moving target. Google’s algorithms evolve, competitors optimize, and user expectations shift. SEO Analyzer provides a comprehensive, up-to-date assessment of your pages’ search performance with specific, actionable recommendations.
Unlike simple SEO checkers that just verify meta tags exist, this skill deeply analyzes content relevance, keyword optimization, user intent alignment, internal linking structure, structured data correctness, and Core Web Vitals. It compares your pages against the top 10 ranking competitors for your target keywords to identify specific gaps.
The CrewAI multi-agent architecture means each SEO dimension gets specialist attention, producing analysis that rivals what a senior SEO consultant would deliver.
# Analyze a single page
seo-analyze --url "https://example.com/my-page" --keyword "AI agents"
# Full site audit
seo-analyze --sitemap "https://example.com/sitemap.xml" --depth full
# Competitive analysis
seo-analyze --url "https://example.com/my-page" --competitors auto --keyword "AI agents"
SEO Analysis: https://example.com/ai-agents-guide
Overall Score: 72/100
🔴 Critical Issues:
- Missing H1 tag (expected: keyword-rich H1)
- No JSON-LD structured data (competitors use Article schema)
- Page speed: 4.2s LCP (target: <2.5s)
🟡 Improvements:
- Title tag (58 chars) — competitors average 55 chars, include year
- Internal links: 2 (competitors average 8)
- Word count: 1,200 (top ranker: 3,400)
✅ Passing:
- Meta description: Good (155 chars, includes keyword)
- Mobile responsive: Yes
- HTTPS: Yes
- Canonical tag: Correct
Estimated Impact: Fixing critical issues → +40% organic traffic
AI agents that work well with SEO Analyzer.
Optimize existing content for search rankings with NLP-driven recommendations and SERP analysis.
Cross-platform social media posting with scheduling, content adaptation, and engagement analytics.
AI-powered keyword discovery with search volume estimation, clustering, and content gap analysis.