I wanted to share a workflow I recently built that combines n8n's automation capabilities with AI to create a fully autonomous SEO reporting system.
Core Components:
- Trigger & Data Collection:
- AI Analysis:
- Output & Notification:
Implementation Details:
For document formatting, I implemented a template-based approach where the agent populates predefined sections while maintaining flexibility for new insights. This ensures consistency while allowing for custom recommendations.
Regarding token usage, the GPT-4o-mini model proved sufficient for SEO analysis tasks while keeping costs manageable. The workflow processes data in batches to avoid token limitations.
The workflow's architecture is built with flexibility in mind - you can easily add or remove data sources, modify report structures, or change the notification system without affecting other components.
This project demonstrates how n8n can serve as an enterprise-grade orchestration layer for AI agents, creating genuinely autonomous business processes that deliver consistent, high-quality outputs with zero human intervention.
The entire solution can be deployed on Azure, AWS, or other enterprise platforms for organizations with specific security or compliance requirements.