Semantic Similarity
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✎ Content Optimization

Semantic Similarity Comparator

v1.0 documentation

Compare semantic similarity between pages, paragraphs, or keyword groups using sentence-transformer embeddings.

URL inputFile inputText inputXLSX export
semantic_similarity.py126 lines6 paramsPython 3.8+
Quick start
1

Install

terminal
pip install -r requirements.txt
2

Run

terminal
python semantic_similarity.py --urls https://a.com https://b.com https://c.com
terminal
python semantic_similarity.py --texts "text one" "text two" "text three"
terminal
python semantic_similarity.py --file content.txt --compare-url https://competitor.com/page
3

Export

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

Parameters
FlagDescription
--urlsURLs to compare. Multiple values allowed
--textsText strings to compare. Multiple values allowed
--filesFiles to compare. Multiple values allowed
--modelModel
--paragraph-compareEnable model mode (flag, no value needed)
--outputSave as XLSX
help
python semantic_similarity.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, numpy, pandas, requests, scikit-learn, sentence-transformers. All included in requirements.txt.

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