Thu, Aug 6, 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 6, 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)
.png&w=1536&q=75)
Will Leatherman
17K followers, $2M in revenue, LinkedIn only — Will teaches what worked.
What you'll learn
Pull the real pages AI cites in your category
Run one query across ChatGPT, Perplexity, and Google AI and capture the third-party pages each answer is built from.
See how far the engines disagree on sources
Compare the cited pages side by side and find how little ChatGPT, Perplexity, and Google actually overlap.
Rank the pages to go get onto first
Turn the scan into a target list scored by how often each page is cited and how fast you can claim it.
Why this topic matters
More than 8 in 10 brand mentions in AI answers come from pages you do not own. The engine reads a best-of list, a G2 grid, or a Reddit thread, then recommends someone else, and you find out when a deal never calls. This session hands you an agent that names the exact pages writing your category's answer and the first ones to go claim.
You'll learn from
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