blog-cannibalization

You detect keyword cannibalization by extracting primary keywords from titles, H1/H2 headings, and first paragraphs, then clustering semantically similar targets to score severity. This produces actionable MERGE, DIFFERENTIATE, or CANONICAL recommendations to resolve internal ranking conflicts and consolidate authority.

Running a zero-cost grep-based scan of your local markdown or HTML content directory performs a content audit for keyword overlap without API costs. This extracts primary keywords, clusters similar targets, and generates a severity-scored remediation report offline.

DataForSEO integration enriches keyword cannibalization analysis for published URLs using Page Intersection and Ranked Keywords endpoints for SERP-aware insights. You provide API credentials with the --api flag to supplement local grep extraction with live search ranking data.

Decisions to merge, differentiate, or canonicalize competing blog posts are driven by per-cluster severity scoring and prescriptive rationale. The analysis evaluates Critical, High, Medium, or Low overlap levels between clustered posts to recommend the optimal remediation action.

DataForSEO API credentials are not required to find keyword conflicts in local markdown files. A zero-cost grep-based scan extracts primary keywords and clusters semantically similar targets directly from your local content directory without external dependencies.