In this video
What you'll learn
Why a finished technical checklist is not enough on its own
One of these 3 ships 19 schema types, a live llms.txt and a perfect technical score, and ranks 6th in its own category.
The difference between being mentioned and being recommended
Another is the most named brand in its category and is cited in none of the 36 answers we tested.
What the site that wins does instead
The third ships no structured data at all and takes 47.6% of the top recommendations in its field.
Why this topic matters
Every AEO guide gives you the same list. Add FAQ schema, publish an llms.txt, fix your headings. One of the companies in this session has done all of it and it bought sixth place. We scan a lot of sites, and the pattern that separates the ones AI recommends from the ones it ignores is not on that checklist.
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
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.