Automation

SEO pipeline tooling

Built data-processing scripts that turn Semrush exports into structured keyword models, summaries, and outputs that are easier to work from.

  • Python
  • CSV/XLSX
  • Reporting

This tooling takes noisy exports and turns them into something that is actually usable for analysis and action. The main goal was to reduce time spent cleaning spreadsheets and increase time spent deciding what matters. Scripts in this workflow normalize domains, group keywords, and output files that are easier to present and easier to build from.

A journal entry about this:

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