AI extracts the strongest platform-specific angles from your long-form content so you approve and schedule instead of writing social posts from scratch.
A complete operational system. Built to run immediately.
Extract your first platform-specific angle from a real piece of long-form content and have a post ready in under 15 minutes.
Why long-form content gets used once and what a correctly running repurposing pipeline looks like.
Roles, responsibilities, and the three inputs required: content calendar, AI access, and platform profiles per active channel.
Three phases: build your source library and platform profiles, build the AI extraction and formatting prompts, run the cycle.
Content repurposing rate, posts per source piece, and post approval rate targets. Definition of done included.
AI prompt library for every repurposing stage, a post quality checklist, and a platform profile design guide per channel.
How to fix generic angle extraction, inconsistent brand voice across platforms, and source content that is too thin.
Version history and a platform profile update log so every calibration cycle has a documented record of what changed.
Reads your source content and returns 3-5 platform-specific angles, each a specific claim from the original piece that stands alone without the full source.
Takes the selected angle and the platform profile and produces a post formatted for that channel's length, structure, tone, and format rules.
Produces three alternative opening lines for each formatted post, each using a genuinely different hook structure. You pick the strongest before approving.
Runs a pass/fail check against the brand style guide and platform profile tone guidance. Returns a specific revision for every item that fails.
Maps each source piece to 3-5 posts for the publishing window, prioritizes by freshness and platform fit, and flags platforms with insufficient content.
Reviews engagement data for the publishing window, identifies which angle types and hook structures are performing, and returns one specific recommendation.
3-5 platform-specific angles from your source content, each a specific claim, plus a formatted post per angle.
Three distinct opening options for each formatted post, each using a different hook structure. You pick the strongest before approving.
One profile per active channel defining ideal post length, hook structure, tone, format rules, and what performs on that platform.
Six copy-paste prompts: angle extraction, platform formatting, hook alternatives, voice check, calendar planning, and performance review.
A configured workflow that triggers repurposing extraction when a new long-form piece is published.
A per-piece performance record linking engagement data back to angle type, hook structure, and platform for every published post.
Every piece you publish contains multiple platform-ready angles that never get extracted. Not because the content is not there, but because the manual process of finding the right angle, formatting it correctly for each platform, and writing a hook that earns the scroll-stop takes too long to do consistently at volume.
Every blog post and video contains 5-10 platform-specific angles that never get extracted. The content did the work. The repurposing never happened.
Without a systematic extraction step, every post starts from a blank screen. The backlog grows faster than it gets cleared.
A LinkedIn caption copy-pasted to Instagram performs badly on both. Platform format requirements get skipped when there is no system.
Without a performance log, successful angles get lost and failing approaches repeat. The repurposing effort compounds nothing.
Expected Outcomes
These targets come directly from the SOP. Realistic benchmarks, not aspirational claims.
80%+
Tracks whether long-form content is being fully extracted and queued. A rate below 80% usually means pieces are entering the queue too late or the extraction prompt is producing generic angles that get rejected.
3-5x
Measures how effectively each source piece is being extracted. Consistently below 3 posts per piece means the source library entries are missing key claims or the angle extractor is not filtering out generic summaries.
70%+
Measures whether the extraction and formatting prompts are producing posts worth approving. A rate below 70% for two consecutive cycles means the platform profiles need more content type examples or the angle extractor needs a stronger rejection criterion.
System live. First 3 source pieces repurposed through the full extraction-to-scheduling workflow.
First optimization shipped. One platform profile improvement based on early approval and engagement data, tested over the next 20-30 posts.
Stable repurposing habit with repurposing rate tracked. Monthly review producing consistent improvements to platform profiles and extraction prompts.
Common Questions
QuickStart gets your first set of repurposed posts live in about 60 minutes. Full workflow with platform profiles stabilizes across the first 3 source pieces.
3-5 platform-specific posts per piece is the target. Each piece contains a limited number of angles that stand alone without the source. Generic summaries and takeaway lists do not count.
The platform profile is missing a 'what performs on this platform' field. Add 3-5 examples of specific post types or angle types that generate strong engagement for your brand on that channel.
No. This SOP is designed for extraction from existing long-form content only. For original short-form posts with no source piece, use a dedicated short-form content creation SOP.
Six copy-paste prompts: angle extraction, platform formatting for each active channel, hook alternatives, post quality review, performance log update, and a platform profile calibration review.
