AI Content Production System

The problem

A 3-person marketing team was expected to produce 4× the content volume for a product expansion. Manual writing, editing, and publishing cycles meant a 2-week turnaround per piece. The team was burning out before the expansion even launched.

The diagnosis

Content was being created without a brief template, reviewed without a rubric, and published without a distribution sequence. AI was being used ad hoc (individual ChatGPT sessions) rather than as a systematic workflow.

System installed

• 01

  Designed a 6-stage content workflow: topic brief → SEO research → AI draft → human edit → brand review → distribution sequence

• 02

  Built prompt library with 40+ role-specific prompts (SEO writer, technical editor, LinkedIn repurposer, email summariser)

• 03

  Created editorial calendar in Notion with automated brief generation from a topic backlog

• 04

  Set up auto-distribution: one long-form piece → 3 LinkedIn posts → 2 email excerpts → 1 short-form video script

• 05

  Trained team on AI-assist protocols: what to delegate to AI vs. what requires human judgment

Results

• ▸

  Publishing velocity: 2 pieces/month → 8 pieces/month with no new hires

• ▸

  Average content production time: 14 days → 3 days

• ▸

  Organic traffic: 38% increase over 6 months

• ▸

  3.8:1 ROAS on content-influenced paid campaigns