Semantic Content Outliner
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Semantic Content Outliner

v1.0 documentation

Auto-generates semantically complete content outlines by analyzing competitor content structure, entity coverage, and topic completeness.

URL inputXLSX export
semantic_content_outliner.py100 lines3 paramsPython 3.8+
Quick start
1

Install

terminal
pip install -r requirements.txt
2

Run

terminal
python semantic_content_outliner.py --keyword "best crm software" --urls https://comp1.com https://comp2.com
terminal
python semantic_content_outliner.py --keyword "how to learn python" --urls https://a.com https://b.com --output outline.xlsx
3

Export

Add --output report.xlsx to save results as a spreadsheet.

Parameters
FlagDescription
--keyword requiredKeyword
--urls requiredUrls. Multiple values allowed
--outputOutput
help
python semantic_content_outliner.py --help
Use cases
Keyword strategy
Client research
Competitor intelligence

Run 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.

Dependencies

Requires: beautifulsoup4, numpy, pandas, requests, scikit-learn, spacy. All included in requirements.txt.

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AAIO Inc — aaioinc.com/tools/semantic_content_outliner/