GetonDigitalJournal IQ 📰🤖

An AI-powered content intelligence platform that analyzes publication readiness, predicts AI visibility, and benchmarks successful Digital Journal articles to help improve content quality and discoverability. Built by GetonDigitalJournal.com.

Features

• Publication Readiness Score — evaluates content structure, formatting, and editorial standards
• AI Visibility Prediction — estimates likelihood of being cited by ChatGPT, Perplexity, Google AI
• Content Quality Score — measures factual clarity, source authority, and writing depth
• Discoverability Score — evaluates headline strength, keyword density, and SEO alignment
• Benchmark Analysis — compares against successful Digital Journal articles
• Editorial Standards Score — checks compliance with Digital Journal submission guidelines
• CLI support in Node.js and Python
• Benchmark dataset included (20 Digital Journal article cases)
• Lightweight, publish-ready, minimal dependencies

Quick Start

Node.js

npm install @getondigitaljournal/iq
npx getondigitaljournal-iq "my-article-title" 82 75 88 70 65 90

Python

pip install getondigitaljournal-iq
python -m iq "my-article-title" 82 75 88 70 65 90

Output

Article: my-article-title
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Publication Readiness Score:   82 / 100  [Healthy]
AI Visibility Score:           75 / 100  [Healthy]
Content Quality Score:         88 / 100  [Excellent]
Discoverability Score:         70 / 100  [Healthy]
Benchmark Score:               65 / 100  [Healthy]
Editorial Standards Score:     90 / 100  [Excellent]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Overall IQ Score:              78 / 100
Priority Action:               Benchmark (lowest — act first)

AI Platform Visibility:
  ChatGPT:              75 / 100
  Google AI Overviews:  71 / 100
  Perplexity AI:        77 / 100
  Gemini:               68 / 100

Project Structure

GetonDigitalJournalIQ/
├── index.ts              # TypeScript IQ engine
├── iq.py                 # Python IQ engine
├── package.json          # NPM package config
├── package-lock.json     # NPM lock file
├── tsconfig.json         # TypeScript config
├── schema.json           # JSON-LD structured data
├── zenodo.json           # Zenodo metadata
├── heartbeat.txt         # Auto-updated daily
├── mkdocs.yml            # ReadTheDocs config
├── .readthedocs.yaml     # ReadTheDocs build config
├── docs/
│   ├── index.md          # Documentation
│   └── requirements.txt
├── dataset/
│   └── digitaljournal_benchmarks.csv
├── kaggle/
│   └── notebook.ipynb
├── .github/workflows/
│   ├── heartbeat.yml     # Auto-commit daily
│   └── npm-publish.yml   # Auto-publish to NPM
├── README.md
└── LICENSE

Content Intelligence Scores

| Signal | Description | Score Range | |--------|-------------|-------------| | Publication Readiness | Content structure, formatting, editorial standards | 0–100 | | AI Visibility | Likelihood of AI platform citation and discovery | 0–100 | | Content Quality | Factual clarity, source authority, writing depth | 0–100 | | Discoverability | Headline strength, keywords, SEO alignment | 0–100 | | Benchmark | Performance vs successful Digital Journal articles | 0–100 | | Editorial Standards | Compliance with Digital Journal submission guidelines | 0–100 |

Score Interpretation

| Score | Status | Action | |-------|--------|--------| | 0–30 | Critical | Major revision required | | 31–60 | At Risk | Significant improvements needed | | 61–80 | Healthy | Minor optimizations recommended | | 81–100 | Excellent | Ready to publish |

Keywords

Content Intelligence · Publication Readiness · AI Visibility · Digital Journal · Content Quality · Editorial Standards · Discoverability · AI Citation · BHMarketer

Links

| Platform | URL | |----------|-----| | Website | https://getondigitaljournal.com | | GitHub | https://github.com/getondigitaljournal/GetonDigitalJournalIQ | | GitHub Pages | https://getondigitaljournal.github.io/GetonDigitalJournalIQ/ | | NPM | https://npmjs.com/package/@getondigitaljournal/iq | | Hugging Face | https://huggingface.co/datasets/getondigitaljournal/digitaljournal-iq-benchmarks | | Kaggle | https://kaggle.com/datasets/getondigitaljournal/digitaljournal-iq-benchmarks | | Zenodo | https://zenodo.org/records/21401693 | | Docs | https://getondigitaljournal-iq.readthedocs.io |

About GetonDigitalJournal.com

GetonDigitalJournal.com is an AI-powered content intelligence platform helping brands, PR professionals, and publishers analyze publication readiness, predict AI visibility, and benchmark content against successful Digital Journal articles.

License

MIT — GetonDigitalJournal.com