AutoSEO Engine

An autonomous, open-source AI system that operates as a complete SEO & growth department for businesses.

πŸš€ Overview

AutoSEO Engine is a multi-agent AI system that performs full-stack SEO with minimal human intervention. The system consists of specialized agents that work together to deliver end-to-end SEO services, from keyword research to link building to conversion optimization.

Key Features

  • Multi-Agent Architecture: 10 specialized agents working in coordination
  • Full-Stack SEO: Technical, content, link building, and conversion optimization
  • Autonomous Operation: Minimal human intervention required
  • Revenue Focused: Direct monetization logic tied to SEO outcomes
  • Self-Improving: Continuous learning and optimization
  • Open Source: Community-driven development with commercial options

πŸ—οΈ Architecture

The system uses a multi-agent architecture where each agent is small, specialized, and replaceable:

  • CEO Agent: Strategy and business decisions
  • SEO Director Agent: Pipeline management
  • Technical SEO Agent: Website audits and fixes
  • Content & Semantic SEO Agent: Content creation and optimization
  • Programmatic SEO Agent: Long-tail content generation
  • Link Authority & Outreach Agent: Backlink acquisition
  • Conversion & CRO Agent: Landing page optimization
  • Client Management Agent: Customer relations
  • Automation & Ops Agent: System operations
  • Self-Improvement Agent: Continuous learning

πŸ’° Monetization Model

The system supports multiple revenue streams:

  • Tiered Subscriptions:

    • Starter: $299/month (basic SEO + 10 content pieces)
    • Professional: $799/month (full SEO + 30 content pieces + link building)
    • Enterprise: $1,499/month (advanced SEO + 100 content pieces + white-label)
  • Performance Bonuses: 10% of traffic-to-revenue increase

  • White-Label Licensing: $4,999/year for agencies

  • Niche Authority Sites: System-built sites sold for $10K-$50K

  • Affiliate Revenue: From recommended tools and services

πŸ› οΈ Installation

Prerequisites

  • Python 3.9+
  • pip package manager

Quick Setup

# Clone the repository
git clone https://huggingface.co/[YOUR_USERNAME]/autoseo-engine.git
cd autoseo-engine

# Make deployment script executable and run it
chmod +x deploy.sh
./deploy.sh

Manual Setup

# Install dependencies
pip install -r requirements.txt

# Set up environment
cp .env.example .env
# Edit .env with your settings

# Run the system
python main.py

Docker Setup

# Build the Docker image
docker build -t autoseo-engine .

# Run the container
docker run -d -p 8000:8000 autoseo-engine

πŸ“Š API Usage

The system includes a REST API for monitoring and control:

# Get system statistics
curl http://localhost:8000/stats

# Get revenue dashboard
curl http://localhost:8000/revenue/dashboard

# Create a new customer
curl -X POST http://localhost:8000/customers \
  -H "Content-Type: application/json" \
  -d '{"name": "New Customer", "tier": "professional"}'

🀝 Contributing

We welcome contributions! Please see our contributing guidelines for more information.

Development Setup

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install development dependencies
pip install -r requirements-dev.txt

# Run tests
python -m pytest

πŸ“„ License

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

πŸ“ˆ Roadmap

Short Term (3 months)

  • Enhanced reporting and analytics
  • Improved content quality algorithms
  • Better integration with popular CMS platforms

Medium Term (6 months)

  • Multilingual content generation
  • Advanced competitor tracking
  • Voice search optimization

Long Term (12 months)

  • Video content generation
  • Advanced predictive analytics
  • Marketplace for custom SEO modules

🎯 Why AutoSEO Engine?

  1. Cost Effective: 1/10th the cost of traditional SEO agencies
  2. Scalable: Same system manages 10 or 10,000 clients
  3. Autonomous: 24/7 operation without human intervention
  4. Transparent: Clear metrics and reporting
  5. Continuous Improvement: Gets smarter with each customer

πŸ† Competitive Advantages

  • Data Network Effects: More customers = better optimization data
  • Workflow Optimization: Years of refined automation processes
  • Cost Leadership: Local deployment = lower costs than cloud competitors
  • Community: Open-source community contributing improvements

Made with ❀️ by the AutoSEO Team

For support, please open an issue in the repository or contact us at support@autoseo.engine

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