The batch scheduling method
The most efficient creators do not post content the day they create it. They batch: one creation session per week produces all the content, then one scheduling session distributes it across the week. This separates the creative work from the administrative work.
A typical batch session: import your latest recording into a repurposing tool, review the AI-generated clips and drafts, approve or tweak each one, and schedule the whole batch. Total time: 20-30 minutes for a full week of content across 3-4 platforms.
Optimal posting cadence per platform
- TikTok — 1-2x per day, 7 days a week. Consistency is more important than volume.
- Instagram Reels — 4-7x per week. Mix Reels with Stories and carousels for variety.
- YouTube Shorts — 3-5x per week. Fewer than TikTok since Shorts have longer shelf life.
- LinkedIn — 3-5x per week. Tuesday through Thursday mornings perform best for B2B.
- X/Twitter — 2-5x per day if threads/text, 1x per day if video. High volume wins here.
These numbers sound high but are achievable with repurposing. One 45-minute podcast episode, properly clipped, yields enough content for all five platforms for a full week.
When to post: time slots that work
The best posting times vary by audience, but general patterns hold. Morning posts (7-9 AM) catch the commute scroll. Lunch posts (12-1 PM) catch the break scroll. Evening posts (7-10 PM) catch the couch scroll. Test all three windows for two weeks, then double down on your best-performing slot.
Use your scheduling tool's best-time feature if it has one. Data beats guesswork. If your tool does not have this, check native analytics for "when your followers are online" and schedule around those peaks.
What to automate and what to keep manual
Automate: scheduling, cross-posting, subtitle generation, first-draft captions. Keep manual: final caption review, community replies, trend-jacking (which requires real-time judgment). The goal is to automate the repetitive work so you spend your time on the creative decisions that actually matter.
A fully automated pipeline with no human review produces mediocre content at scale. A fully manual pipeline produces great content too slowly. The sweet spot is AI-generated drafts with human curation — which is exactly how modern repurposing tools are designed.