Scaling LinkedIn content without losing the brand voice
An AI content engine drafts posts and visuals on schedule, with a human approval gate and engagement data feeding back into the prompts.
The challenge
Manual LinkedIn content was too slow and inconsistent to build lasting brand authority.
What we built
- Brand voice, content pillars and goals defined up front and stored as context for the AI.
- An n8n workflow drafts copy and visuals for each scheduled slot.
- A Slack approval gate means nothing publishes without human review.
- Engagement is tracked nightly and the best-performing patterns feed back into the prompts.
Results
- Consistent posting at scale
- Manual content effort cut sharply
- Brand voice kept consistent through human review
Step by step.
Schedule
A content-calendar trigger fires for each posting slot.
Draft
AI drafts copy and visuals using the brand context.
Review
A human approves, edits or rejects in Slack.
Publish
Approved posts go out through the LinkedIn API.
Learn
Engagement data improves future drafts.
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Let's see what this could look like for you.
Tell us about your process and systems. We'll outline an approach, the guardrails it needs and a pilot plan.
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