The Webinar Repurposing Engine

For marketing leaders sitting on hours of recorded webinars, this playbook builds one automated workflow that turns every webinar into 30+ GTM assets. You download the full build (8 steps), the AI prompt structures for newsletters, LinkedIn posts, and blog articles, and the writing style guide template that keeps the output sounding like you.

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What you'll learn

Build one automated workflow that fires on every new webinar upload and drafts a newsletter, LinkedIn post, and blog article from the transcript
Set a trigger filter on YouTube description keywords like "workshop" or "webinar recording" so the workflow runs on webinars and stays off shorts and clips
Write per-platform style guides for newsletter, LinkedIn, and blog voice, then load them as knowledge base sources the AI references on every draft
Route each task to the right model, Claude Sonnet or Gemini 3.1 Pro for writing, GPT-4 or Gemini for analysis, Gemini 3 Pro for image generation
Use the ready-made prompt structures for newsletters, LinkedIn posts, and blog articles, each tied to a 45-minute webinar of source material
Run a LinkedIn profile analysis workflow that pulls your last 15 posts and outputs a markdown style guide automatically
Add a Slack notification and a human review step so company-account content gets approved before it publishes

Summary

Most B2B teams run a webinar, post the recording, send one email, and capture roughly 10% of the value. This playbook walks through the Deterministic Repurposing Workflow, a single automated system that fires when a new webinar uploads to your YouTube channel, pulls the transcript, and drafts a newsletter, a LinkedIn post, a blog article, and a branded cover image. It runs on Relay, Make.com, Zapier, or N8N, routes writing tasks to Claude Sonnet or Gemini 3.1 Pro, and notifies your team in Slack when drafts are ready. The system gets sharp after 2-3 rounds of feedback, the same way you would train a new hire. The included prompts and per-platform style guides make each asset read like you wrote it.