Enterprise SEO Platform - DataForSEO Powered

A comprehensive SEO analysis platform that rivals SEMrush, Ahrefs, and Majestic, built with modern technologies and powered by DataForSEO APIs.

🚀 Features

Core SEO Tools

• Keyword Research: 100M+ keyword database with search volume, difficulty, CPC
• Backlink Analysis: Comprehensive link profile analysis with Trust Flow metrics
• SERP Tracking: Daily rank tracking with competitor monitoring
• Site Audit: 130+ technical SEO checks with Core Web Vitals
• Competitor Analysis: Domain comparison and gap analysis
• Content Optimization: AI-powered content recommendations

Advanced Features

• ML-Powered Analytics: Predictive ranking, keyword clustering, trend analysis
• Interactive Visualizations: D3.js, Plotly, and Chart.js powered dashboards
• Collaborative Notebooks: Jupyter integration with pre-built SEO analysis templates
• LLM Chat Interface: AI assistant for SEO strategies and campaign planning
• Real-time Updates: WebSocket-powered live data streaming
• White-label Support: Customizable branding and reporting

🛠️ Technology Stack

Backend

• FastAPI (Python) - High-performance API framework
• PostgreSQL - Primary database
• Redis - Caching and task queue
• TimescaleDB - Time-series data for rankings
• Celery - Distributed task processing

Frontend

• React 18 with TypeScript
• Redux Toolkit - State management
• Ant Design Pro - UI components
• AG-Grid Enterprise - Data tables
• D3.js & Plotly - Visualizations

ML/AI

• scikit-learn - Machine learning models
• TensorFlow/PyTorch - Deep learning
• LangChain - LLM orchestration
• Jupyter - Collaborative notebooks

🚦 Quick Start

Prerequisites

• Docker & Docker Compose
• Node.js 18+
• Python 3.10+
• DataForSEO API credentials

Installation

1. Clone the repository

cd /home/david/seo-tools-clone

2. Set up environment variables

cp .env.example .env
# Edit .env with your DataForSEO credentials and other configs

3. Run the automated build script

./BUILD_SEO_PLATFORM.sh

Or manually:

4. Start services with Docker

docker-compose up -d

5. Access the platform

• Frontend: http://localhost:3000
• API Docs: http://localhost:8000/docs
• Jupyter: http://localhost:8888

📊 DataForSEO Integration

The platform integrates with DataForSEO's comprehensive API suite:

• SERP API: Real-time search results
• Keywords Data API: Search volume and metrics
• Backlinks API: Link profile data
• On-Page API: Technical SEO analysis
• Domain Analytics API: Competitive intelligence

API Configuration

# backend/core/config.py
DATAFORSEO_LOGIN = os.getenv("DATAFORSEO_LOGIN")
DATAFORSEO_PASSWORD = os.getenv("DATAFORSEO_PASSWORD")

🧠 ML Capabilities

Pre-built Models

• Keyword clustering
• Ranking prediction
• Content scoring
• Trend forecasting
• Anomaly detection

Custom Notebooks

Access Jupyter at http://localhost:8888 for:

• Custom analysis workflows
• Model training
• Data exploration
• Report generation

💬 LLM Chat Interface

The AI assistant can help with:

• SEO strategy development
• Content optimization suggestions
• Competitor analysis insights
• Campaign planning
• Technical SEO recommendations

📁 Project Structure

seo-platform/
├── backend/          # FastAPI backend
├── frontend/         # React frontend
├── ml-notebooks/     # Jupyter notebooks
├── infrastructure/   # Docker/K8s configs
└── docs/            # Documentation

🔧 Development

Backend Development

cd backend
pip install -r requirements.txt
uvicorn api.main:app --reload

Frontend Development

cd frontend
npm install
npm start

Running Tests

# Backend tests
cd backend && pytest

# Frontend tests
cd frontend && npm test

📈 Monitoring

• Prometheus: http://localhost:9090
• Grafana: http://localhost:3001
• API Metrics: /metrics endpoint

🚀 Deployment

Production with Kubernetes

kubectl apply -f infrastructure/kubernetes/

CI/CD Pipeline

GitHub Actions workflow included for:

• Automated testing
• Docker image building
• Kubernetes deployment

📚 Documentation

• API Reference
• Architecture Overview
• Development Guide
• ML Notebook Guide

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Built with Claude Flow orchestration
• Powered by DataForSEO APIs
• Inspired by enterprise SEO tools

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Note: This is a comprehensive SEO platform clone for educational and business purposes. Ensure you have proper DataForSEO API access and comply with their terms of service.