My clients average 40% more organic traffic within 60 days by publishing 10-15 high-quality articles per week. I combine GPT-4 pipelines with semantic core analysis to produce content that ranks, not just fills space. You get a full content engine that runs on autopilot — articles, landing pages, and social posts at 3x the speed.
How I Solve This
I don't use generic AI prompts. I build custom GPT-4 pipelines that start with your semantic core — the exact keywords, entities, and search intent your audience uses. Then I layer in your brand voice, competitor gaps, and internal data. The output goes through Make.com for auto-posting to your CMS and social channels. Implementation takes 5-7 days from audit to first batch of live content.
How It Works
I audit your current content, competitors, and search landscape to build a semantic core map of 50-100 high-value topics.
I configure GPT-4 pipelines that generate articles, landing pages, and social posts from that map — each piece optimized for a specific keyword cluster.
Content flows through Make.com into your CMS and social scheduler, with automated formatting, internal linking, and meta tags.
You review once per week. I adjust the semantic core and pipeline parameters based on performance data. Scaling is automatic.
Case Study
A B2B SaaS client was stuck at 2 articles per week with no traffic growth. Problem: manual writing was too slow and lacked SEO structure. Solution: I built a GPT-4 pipeline around their 40 highest-intent keywords, connected to Make.com for auto-posting. Result: 12 articles per week, 45% increase in organic traffic in 8 weeks, and 3x faster time-to-rank for new content.