AI Content Automation Pipeline

Building an AI agent to automate SEO content research and drafting.

·1 min read·active

Exploring how AI agents can handle the repetitive parts of content creation while maintaining quality and originality.

The Experiment

Can we build a pipeline that:

  1. Monitors trending topics in our niche
  2. Researches competitor content and gaps
  3. Drafts outlines based on SEO insights
  4. Generates first drafts for human editing

Current Setup

Using a combination of:

  • Perplexity API for research
  • Claude for content generation
  • Custom Python scripts for automation
  • Ahrefs API for keyword data

Early Findings

AI excels at:

  • Research aggregation
  • Outline structuring
  • SEO optimisation suggestions

But still needs humans for:

  • Strategic decisions
  • Unique perspectives
  • Brand voice consistency
  • Final quality control

Next Steps

Building a feedback loop where the AI learns from human edits to improve future outputs. The goal isn't to replace writers, but to remove the tedious parts so humans can focus on creativity.