OptiBlogAi is an open-source AI system that generates high-quality, SEO-optimized blog content through a multi-phase content production pipeline. By scraping top-ranking content, generating original articles with LLMs, and implementing a rigorous quality assessment loop, OptiBlogAi produces content engineered for search engine visibility and reader engagement.
Core Innovation: OptiBlogAi's unique breakeven assessment loop ensures content meets quality thresholds before publication, combining AI generation with SEO science to create content that ranks.
- Automated Content Research: Scrapes and analyzes top-ranking content for target keywords
- LLM-Powered Generation: Creates original blog posts using advanced prompt engineering
- Quality Assurance Loop: Multi-phase assessment system with iterative improvements
- SEO Optimization: Built-in SEO scoring for on-page optimization
- Extensible Architecture: Modular design supporting multiple LLM providers
- Language: Python 3.10+
- Web Framework: FastAPI
- Scraping Tools: Playwright, BeautifulSoup
- NLP Processing: NLTK
- SEO Analysis: Custom scoring algorithms (To be figured out)
- Workflow Orchestration: LangGraph
- LLM Providers: Groq & Gemini
- Containerization: Docker
- CI/CD: GitHub Actions
- Testing: Pytest
graph TD
A[Keyword Input] --> B[Top N Results Scraping]
B --> C[Content Cleaning & Analysis]
C --> D[LLM Content Generation]
D --> E{Quality Assessment}
E -->|Below Threshold| D
E -->|Meets Threshold| F[SEO Optimization]
F --> G[Final Output]
- Research Phase: Identify top-ranking content for target keywords
- Processing Phase: Clean and analyze scraped content
- Generation Phase: Create original content using LLMs
- Assessment Loop: Evaluate quality with breakeven scoring
- Optimization Phase: Apply SEO enhancements
- Output: Publish-ready blog content
- Python 3.10+
- Playwright browsers (
playwright install) - Groq API key
# Clone repository
git clone https://github.com/solve-ease/OptiBlogAi.git
cd OptiBlogAi
# Create virtual environment
python -m venv venv
source venv/bin/activate # Linux/MacOS
venv\Scripts\activate # Windows
# Install dependencies
pip install -r requirements.txt
# Install Playwright browsers
playwright install
# Set up environment variables
cp .env.example .env
# Edit .env with your API keyspython src/main.py docker build -t OptiBlogAi .
docker run -p 8000:8000 OptiBlogAi
# Access API docs at http://localhost:8000/docs- Keyword research and content scraping
- Basic content generation pipeline
- Quality assessment framework
- Multi-LLM comparison system
- Automatic image suggestion
- Plagiarism detection
- Social media snippet generation
- WordPress/Drupal integration
- Multi-language support
- Content calendar automation
- Performance analytics dashboard
We welcome contributions! Please follow these steps:
- Fork the repository
- Create your feature branch (
git checkout -b feature/your-feature) - Commit your changes (
git commit -am 'Add some feature') - Push to the branch (
git push origin feature/your-feature) - Open a pull request
See our Contribution Guidelines for detailed standards.
OptiBlogAi adheres to strict ethical standards:
- All generated content is clearly marked as AI-assisted
- Scraping respects robots.txt and website terms
- Content undergoes plagiarism verification
- Users retain full editorial control
Review our complete Ethical Framework
Distributed under the MIT License. See MIT License for more information.
Project Maintainer: 4darsh-Dev
GitHub: https://github.com/4darsh-Dev
Issue Tracker: https://github.com/solve-ease/OptiBlogAi/issues
OptiBlogAi: Where AI meets content excellence. Contribute today to shape the future of automated content creation!