Can I use this for content audit findings?

Yes, it is ideal for content audits, as it helps identify pages with high engagement but low rankings, pointing toward technical SEO or backlink needs.

How do I track the impact of my SEO changes?

The skill includes a 'Correlation Matrix' which features a Content Change Log and a Metric Response Analysis template to map specific dates of changes to resulting performance shifts.

What data sources does this SEO skill support?

It provides correlation patterns and analysis templates specifically designed for Google Search Console (GSC), Google Analytics 4 (GA4), and SE Ranking.

How does it help improve Click-Through Rate (CTR)?

The skill identifies patterns where impressions are high but CTR is low, providing specific diagnosis steps to compare snippets against competitors and optimize meta tags.

SEO Performance Correlation

Name: SEO Performance Correlation
Author: involvex

byinvolvex

Marketing Automation

Analyzes and correlates SEO data from GSC, GA4, and SE Ranking to identify performance drivers and build data-driven optimization hypotheses.

About

The SEO Performance Correlation skill empowers Claude to bridge the gap between content changes and search performance by correlating data across Google Search Console, Google Analytics 4, and SE Ranking. It provides a structured framework for diagnosing common SEO patterns—such as high impressions with low click-through rates or high engagement with low rankings—and offers actionable evidence-based recommendations. By utilizing standardized templates for tracking change logs and assessing correlation confidence, this skill helps teams move beyond raw metrics to understand exactly what drives their organic growth.

Key Features

Structured content change logs to track SEO interventions
Data-driven hypothesis building with risk assessment templates
Pre-defined diagnosis patterns for common search performance issues
Metric response analysis to map results to specific actions
Cross-platform data correlation for GSC, GA4, and SE Ranking
0 GitHub stars

Use Cases

Connecting specific content updates to shifts in search rankings and traffic
Building and testing structured hypotheses for A/B testing and content audits
Diagnosing why pages with high visibility are failing to convert or engage users

About

Key Features

Structured content change logs to track SEO interventions
Data-driven hypothesis building with risk assessment templates
Pre-defined diagnosis patterns for common search performance issues
Metric response analysis to map results to specific actions
Cross-platform data correlation for GSC, GA4, and SE Ranking
0 GitHub stars

Use Cases

Connecting specific content updates to shifts in search rankings and traffic
Building and testing structured hypotheses for A/B testing and content audits
Diagnosing why pages with high visibility are failing to convert or engage users