blog-cannibalization

You can detect keyword cannibalization by running an audit on your markdown, html, or mdx blog directory to extract primary keywords from titles and headings, then clustering semantically similar targets. This produces a severity-scored report recommending whether to merge, differentiate, or canonicalize competing posts.

SERP intersection analysis for keyword overlap is a method that uses the DataForSEO API to compare ranked keywords across multiple pages. By enabling an --api mode, it evaluates actual search engine results page overlap to provide a more accurate cannibalization assessment than local content scanning alone.

Yes, you can run a content audit for keyword overlap without an API by using the default local-only scanning mode. This mode analyzes your markdown, html, or mdx blog directories directly to extract and cluster primary keywords without requiring external DataForSEO API access.

To fix multiple blog posts competing for the same search keywords, you follow the severity-scored cannibalization report which provides specific recommendations. The report advises whether you should merge the overlapping articles, differentiate their target keywords, apply canonical tags, or take no action.

Yes, you need jq installed because it is a required dependency for processing the blog directory and formatting the severity-scored cannibalization report. This command-line JSON processor is necessary for parsing the extracted keyword data and overlap clusters.