Using Cannibalization Entropy to Prioritize SEO Consolidation
Identifying that two separate URLs rank for the identical keyword is merely the first step of cannibalization analysis. The critical challenge is determining the severity of the overlap.
If URL A captures 95% of the click share and URL B captures 5%, the cannibalization is nominal and does not warrant intervention. Conversely, if URL A and URL B divide the click share evenly (50/50), the cannibalization is severe, diluting your domain’s ranking power and depressing the average position of both pages.
The Entropy Scoring Methodology
Kong Metrics applies a mathematical concept known as “Entropy” to systematically score the severity of keyword overlap. This algorithm calculates the distribution variance of impressions and clicks across competing URLs for any given query.
Interpreting the Entropy Score
- Low Entropy (Score near 0): A single URL clearly dominates the search engine results pages (SERPs) for the query. The overlap is negligible, and no technical intervention is required.
- High Entropy (Score near 1): Impressions and clicks are highly fragmented across multiple pages. This indicates a critical structural SEO issue requiring immediate consolidation to restore PageRank concentration.
Mathematically Prioritized Remediation
Rather than forcing SEO teams to manually review hundreds of overlapping URLs, the Entropy score enables the programmatic sorting of cannibalization issues by objective severity.
1. Targeted Consolidation
By filtering cannibalization reports to display only queries exhibiting high entropy scores, technical SEOs can focus their canonical tag implementations and 301 redirects precisely where they will yield the most significant ranking recovery.
2. Quantifiable Resolution Tracking
Following the merger of competing assets, the platform tracks the subsequent drop in the topic’s entropy score toward zero. This provides a clear, quantifiable metric to demonstrate the successful resolution of technical SEO issues to stakeholders.