Content Optimizer
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✎ Content Optimization

Content Optimization & SEO Scoring

v1.0 documentation

Analyzes content for SEO quality: TF-IDF keyword coverage, entity extraction, readability scoring, and structural analysis.

URL inputFile inputText inputXLSX export
content_optimizer.py345 lines5 paramsPython 3.8+
Quick start
1

Install

terminal
pip install -r requirements.txt
2

Run

terminal
python content_optimizer.py --url https://example.com/page --target-keyword "project management tools"
terminal
python content_optimizer.py --file article.html --target-keyword "cloud hosting" --competitors comp1.html comp2.html
terminal
python content_optimizer.py --text "Your content here..." --target-keyword "best crm software"
3

Export

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

Parameters
FlagDescription
--urlURL to analyze
--fileLocal HTML/text file to analyze
--textRaw text to analyze
--target-keyword requiredPrimary target keyword
--outputOutput
help
python content_optimizer.py --help
Use cases
Content audit
Pre-publish check
Competitive analysis

Analyze existing content to find what needs updating, merging, or removing. Export results and create a content maintenance plan.

Run before publishing new content to ensure it meets quality thresholds. Fix issues before they go live.

Compare your content against top-ranking competitors. Identify gaps and opportunities to improve.

Dependencies

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

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