Thu, Aug 20, 2026
4:00 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course
Build Your AI Visibility System (Live Working Session)
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Will Leatherman
17K followers, $2M in revenue, LinkedIn only — Will teaches what worked.
Thu, Aug 20, 2026
4:00 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course
Build Your AI Visibility System (Live Working Session)
Will Leatherman
17K followers, $2M in revenue, LinkedIn only — Will teaches what worked.
What you'll learn
How to pull the sources behind any AI answer
Open the citations under a ChatGPT or Perplexity answer and save the exact pages the engine read to build it.
How to see which sources decide who gets named
Rank the cited pages by how load-bearing they are, so you know the two or three that carry the whole answer.
How to turn the trace into a fix list
Name the trusted pages you're absent from and leave with the exact sources to earn a spot on first.
Why this topic matters
Your buyer asks ChatGPT who to trust, and it names a competitor with citations. Those citations are a reading list. The engine named that competitor because it read a handful of pages that mention them, and your name lives on none of them. This agent opens that reading list, shows the exact sources feeding the answer, and hands you the pages to get onto first.
You'll learn from
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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
