Semantic Content Outliner
Auto-generates semantically complete content outlines by analyzing competitor content structure, entity coverage, and topic completeness.
Install
pip install -r requirements.txtRun
python semantic_content_outliner.py --keyword "best crm software" --urls https://comp1.com https://comp2.compython semantic_content_outliner.py --keyword "how to learn python" --urls https://a.com https://b.com --output outline.xlsxExport
Add --output report.xlsx to save results as a spreadsheet.
| Flag | Description |
|---|---|
--keyword required | Keyword |
--urls required | Urls. Multiple values allowed |
--output | Output |
python semantic_content_outliner.py --helpRun before creating content. Use the output to plan which terms to target, group into clusters, and prioritize by difficulty. Export to XLSX and share with your content team.
Deliver keyword research as a paid service. Run the tool on a client's niche, export results, and present clusters as a content roadmap. Charge $100-300 per research package.
Analyze what keywords competitors rank for that you're missing. Feed the output into your content calendar to close gaps systematically.
Combine with other tools for a complete workflow:
Requires: beautifulsoup4, numpy, pandas, requests, scikit-learn, spacy. All included in requirements.txt.
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