Citation Worthiness Scorer
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✎ Content Optimization

Citation Worthiness Scorer

v1.0 documentation

Scores content sections for likelihood of being cited by LLMs and AI search. Identifies claim density, data points, unique insights, and quotable passages.

URL inputFile inputText inputXLSX export
citation_worthiness_scorer.py79 lines5 paramsPython 3.8+
Quick start
1

Install

terminal
pip install -r requirements.txt
2

Run

terminal
python citation_worthiness_scorer.py --url https://example.com/post
terminal
python citation_worthiness_scorer.py --file article.html --output citations.xlsx
3

Export

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

Parameters
FlagDescription
--urlUrl
--fileFile
--textText
--topTop (integer)
--outputOutput
help
python citation_worthiness_scorer.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.

Works well with

Combine with other tools for a complete workflow:

Ai Overview Optimizer

Optimizes content structure for Google AI Overviews. Checks for clear definition

Content Calendar Generator

Generates a content calendar from keyword/topic data with publishing dates, cont

Content Consolidator

Content Decay Detector

Content Diff Tracker

Content Freshness Scorer

Scores content freshness based on date signals, temporal references, outdated te
Dependencies

Requires: beautifulsoup4, pandas, requests. All included in requirements.txt.

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AAIO Inc — aaioinc.com/tools/citation_worthiness_scorer/