In this video
What you'll learn
How to turn real writing into a file an AI can follow
Paste in someone's real posts and pull out the specific, checkable habits that make the writing theirs.
How to catch a draft that reads clean but sounds like nobody
Run a check step that compares a new draft against the real posts, line by line, before it ships.
How to reuse this setup for any voice with real samples
Swap the writing samples and the same three-step build writes for a client, an exec, or a brand.
Why this topic matters
LinkedIn now runs a classifier that claims 94% accuracy at catching generic AI content, plus a public report button for readers to flag it. A founder's posts, drafted with ChatGPT, got clean grammar and zero replies. The tool did exactly what it was fed. Nothing about how he actually writes went in. This session builds the file that does it, live, on real posts.
You'll learn from
.png&w=1536&q=75)
Will Leatherman
Founder at Catalyst Content, building content systems for B2B GTM teams
Why trust me?
- Built 50+ B2B content engines — clients consistently see 3–5x content output with higher pipeline conversion, because the content is rooted in real domain expertise, not researched talking points
- Former CMO at Parcl (blockchain real estate): drove a 300% increase in user acquisition through content strategy
- Creative strategist for Primark, Campari, Kate Spade, WeWork, PepsiCo, and BMW before founding Catalyst
- Built Catalyst's entire client pipeline on LinkedIn — this is the exact system, taught live for the first time
Go deeper with a course
Build Your AI Visibility System (Live Working Session)
.png&w=1536&q=75)
Will Leatherman
17K followers, $2M in revenue, LinkedIn only — Will teaches what worked.