Marketing 3–5 hours setup
AI SEO Content Engine
Publish 4x more SEO content with half the team
Overview
A fully automated content production pipeline that combines AI research, writing, and SEO optimization to publish high-ranking articles at scale. Uses keyword research, competitor gap analysis, and automated publishing workflows.
Implementation Steps
1
Run competitor content gap analysis with Perplexity to identify untapped keywords
2
Build keyword clusters and content calendar in Notion
3
Use Surfer SEO to generate optimized article outlines for each cluster
4
Draft articles with Jasper using Surfer's content score as the quality gate
5
Auto-publish to CMS via Make workflow when score threshold is met
6
Track rankings weekly and trigger refresh workflows for decaying pages
Expected Outcome
Automated pipeline from keyword → published article with 90+ Surfer SEO score
Recommended Stack
Quick Facts
CategoryMarketing
Use CaseScale organic content production without growing…
Setup Time3–5 hours
Steps6
Tools Required4
Tags
SEOContentMarketingAutomation