# AutoSEO Engine - Documentation

## Overview
AutoSEO Engine is an autonomous, open-source AI system that operates as a complete SEO & growth department for businesses. The system uses a multi-agent architecture to perform full-stack SEO with minimal human intervention.

## Architecture
The system consists of 10 specialized agents that work together:

### CEO Agent
- Handles strategy and business decisions
- Identifies niches and pricing models
- Plans expansions and resource allocation

### SEO Director Agent
- Manages the overall SEO pipeline
- Coordinates between different SEO activities
- Tracks performance metrics

### Technical SEO Agent
- Performs website audits
- Identifies and recommends fixes
- Monitors site structure and technical issues

### Content & Semantic SEO Agent
- Creates SEO-optimized content
- Builds topical authority clusters
- Optimizes for E-E-A-T guidelines

### Programmatic SEO Agent
- Generates content using templates
- Targets long-tail keywords
- Scales content creation

### Link Authority & Outreach Agent
- Finds backlink opportunities
- Creates outreach campaigns
- Develops linkable assets

### Conversion & CRO Agent
- Optimizes landing pages
- Sets up A/B tests
- Attributes revenue to SEO efforts

### Client Management Agent
- Handles client onboarding
- Generates performance reports
- Manages renewals and upsells

### Automation & Ops Agent
- Schedules tasks
- Monitors system health
- Manages backups and maintenance

### Self-Improvement Agent
- Analyzes system performance
- Refines prompts and processes
- Optimizes workflows

## Installation

### Prerequisites
- Python 3.9+
- pip package manager

### Setup
1. Clone the repository:
   ```bash
   git clone <repository-url>
   cd autoseo-engine
   ```

2. Run the deployment script:
   ```bash
   chmod +x deploy.sh
   ./deploy.sh
   ```

## Usage
To start the AutoSEO Engine:
```bash
python3 main.py
```

For background execution:
```bash
nohup python3 main.py > logs/autoseo.log 2>&1 &
```

## Configuration
The system can be configured via `config/config.yaml`:
```yaml
database:
  url: "sqlite:///./autoseo.db"
  pool_size: 5

agents:
  max_iterations: 10
  timeout_seconds: 300
  
llm:
  model_name: "local-model"
  temperature: 0.7
  
monitoring:
  log_level: "INFO"
  enable_metrics: true
```

## Monetization
The system supports multiple revenue streams:
- Tiered subscription plans (Starter, Professional, Enterprise)
- Performance bonuses based on traffic/revenue increases
- White-label licensing for agencies
- Niche authority sites
- Affiliate revenue from recommended tools

## Contributing
Contributions are welcome! Please see our contributing guidelines for more information.

## License
MIT License - see the LICENSE file for details.