Quick Answer
For search, voice, and "just tell me what to do".
Create one high-signal pillar piece, then use AI to translate the same idea into platform-native formats using fixed templates and hooks.
Key Takeaways:
- Repurposing is translation, not duplication.
- Use a consistent 'angle library' (problem, myth, proof, framework).
- Keep one canonical source of truth per topic.
- Measure which formats create demand, not vanity engagement.
Playbook
Write a single pillar outline: problem, stakes, mechanism, steps, proof, CTA.
Ask AI for 10 angles: contrarian, beginner, advanced, story, checklist.
Generate derivatives: email, LinkedIn post, short script, ad copy, FAQ.
Refine to platform rules (length, cadence, hook style, formatting).
Schedule distribution over 2–4 weeks; reuse winners quarterly.
Save everything in a 'topic kit' folder for fast re-launches.
Common Pitfalls
- Republishing the same copy across platforms unchanged.
- Skipping proof/examples and relying on abstract claims.
- No CTA alignment (different assets ask for different actions).
Metrics to Track
Time to create topic kit
Top-performing angle
Opt-ins per topic
Sales calls booked
FAQ
Do I need 50 assets to grow?
No-this is a leverage option. Start with fewer assets and scale only after you've proven a message + channel combination works.
What's the best 'pillar' format?
The one you can sustain. Many founders start with a weekly article or newsletter, then repurpose into shorts and posts for reach.
How do I avoid repetitive content?
Use different angles, different examples, and different formats. Keep the core mechanism consistent while changing the story and framing.
Related Reading
Next: browse the hub or explore AI Operations.