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

Clone the repository:

git clone <repository-url>
cd autoseo-engine

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

Usage

To start the AutoSEO Engine:

python3 main.py

For background execution:

nohup python3 main.py > logs/autoseo.log 2>&1 &

Configuration

The system can be configured via config/config.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.