autoseo-engine / DOCUMENTATION.md
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# 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.