SEO Analysis Command

Usage: /seo <subcommand>

Subcommands

/seo wins - Quick Win Opportunities

Find pages ranking position 4-15 that could reach page 1 with optimization:

1. •Query GSC for pages with good impressions but position > 3
2. •Sort by potential (impressions * (1/position))
3. •Show top 10 opportunities with:
   • •Current position and clicks
   • •Target keyword
   • •Recommended actions

/seo gaps - Content Gap Analysis

Find keywords competitors rank for that you don't:

1. •Get your top ranking keywords from GSC
2. •Use DataForSEO to find competitor keywords
3. •Identify gaps where competitor ranks but you don't
4. •Prioritize by search volume and difficulty

/seo roi - Performance ROI Analysis

Analyze which content produces best returns using GSC + GA4:

1. •Query GSC for all pages with clicks
2. •Query GA4 via mcp__analytics-mcp__run_report for:
   • •engagementRate - User engagement quality
   • •averageSessionDuration - Time on site from page
   • •conversions - Goal completions attributed to page
   • •bounceRate - Single-page session rate
3. •Calculate composite ROI score:
   • •Traffic value = clicks × avg position value
   • •Engagement value = sessions × engagement rate
   • •Conversion value = conversions × goal value
4. •Show ROI metrics:
   • •Best performing pages (high traffic + high engagement)
   • •Underperforming (high traffic, low engagement)
   • •Hidden gems (low traffic, high conversion)
   • •Content type performance comparison

/seo refresh - Find Declining Pages

Identify content that needs updating using GSC + GA4 correlation:

1. •Compare last 28 days vs previous 28 days in GSC
2. •Compare same periods in GA4 for engagement trends
3. •Find pages with declining:
   • •Position (getting worse in GSC)
   • •Clicks (losing traffic)
   • •Engagement rate (GA4 - users engaging less)
   • •Session duration (GA4 - users leaving faster)
4. •Prioritize by combined traffic + engagement impact
5. •Suggest refresh strategies based on decline type

/seo engagement - Engagement Quality Analysis (NEW)

Analyze user engagement quality from organic traffic:

1. •Query GA4 via mcp__analytics-mcp__run_report with:
   • •Dimensions: pagePath, sessionSource
   • •Metrics: sessions, engagementRate, averageSessionDuration, bounceRate, conversions
   • •Filter: sessionSource contains "organic" or "google"
2. •Identify engagement issues:
   • •High bounce pages (>70% bounce from organic)
   • •Low engagement pages (<40% engagement rate)
   • •Short sessions (<30s average duration)
3. •Cross-reference with GSC position data
4. •Output:
   code

   📊 Engagement Analysis (Organic Traffic)
   
   ⚠️ High Bounce from Search:
   /blog/seo-tips     Bounce: 78%  Position: 5
     → Content may not match search intent
   
   ⚠️ Low Engagement:
   /services          Engagement: 32%  Sessions: 450
     → Users not interacting, add CTAs
   
   ✓ Top Engaged Pages:
   /case-studies      Engagement: 89%  Conversions: 12
   

Required MCPs

• •gsc - For search analytics data (positions, clicks, impressions)
• •dataforseo - For competitor analysis, keyword data
• •analytics-mcp - For GA4 engagement, conversions, behavior data

Output Format

📈 SEO Quick Wins

1. /blog/seo-guide
   Position: 8 → Target: 3
   Impressions: 2,400/mo | Clicks: 96
   Action: Add FAQ section, improve title

2. /services/consulting
   Position: 12 → Target: 5
   Impressions: 1,800/mo | Clicks: 45
   Action: Add testimonials, schema markup

Arguments

$ARGUMENTS