AI-Driven Content Automation Pipeline for Publishers by Malick MurtazaAI-Driven Content Automation Pipeline for Publishers by Malick Murtaza

AI-Driven Content Automation Pipeline for Publishers

Malick Murtaza

Malick Murtaza

Overview
A fully automated content pipeline that scrapes top-performing articles from niche websites, rewrites them with best-in-class SEO and AEO practices using AI, and pushes the finished content directly to a website's webhook — with a human-in-the-loop review step before publishing.
Problem
Content teams and solo publishers struggle to maintain publishing velocity without sacrificing quality or originality. Manual content research, writing, and SEO optimisation are time-intensive and expensive at scale.
Solution
Built in n8n as a visual workflow, the system scrapes target niche websites on a schedule, extracts top-performing articles, and rewrites them with AI following strict SEO (keyword density, meta, headers) and AEO (answer-box optimisation) principles. Finished articles are stored in MongoDB/Supabase and pushed to the publisher's webhook endpoint where a human reviewer can approve or edit before going live.
Key Metrics
Human In-the-loop workflow
SEO + AEO Dual optimisation
Webhook Direct CMS push
n8n Visual automation
Tech Stack
n8n Next.js MongoDB Supabase AI Rewriting Webhook Integration
Deliverables
Scheduled niche article scraping from multiple source domains
AI rewriting engine with SEO and AEO compliance rules
Human-in-the-loop review step before publishing
Direct webhook push to client CMS or site backend
MongoDB + Supabase dual storage for drafts and published content
Next.js review dashboard for editorial team
Like this project

Posted May 5, 2026

A fully automated content pipeline that scrapes top-performing articles from niche websites, rewrites them with best-in-class SEO and AEO practices using AI.