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Will Leatherman
Founder at Catalyst Content, building content systems for B2B GTM teams
Most marketers pick topics from a keyword tool. In most months, 65 to 85% of what people ask ChatGPT doesn’t match a single keyword in the database.
Your buyers already told you what to write. It’s sitting in your sales calls and in the Reddit and X threads where they compare vendors.
This starter project turns that raw material into a ranked content plan and one finished page per question, in your buyers’ own words. Then it checks who AI cites every Monday, so you see the trend instead of a single screenshot.
What’s in the download:
A category file you fill in once with your market, your buyers, the words they use and who you compete with
A page types guide that matches each kind of buyer question to the page that answers it, with the evidence behind each row
A miner agent that pulls buyer lines from your sales calls (Granola or pasted transcripts) and from Reddit and X
A question bank agent that groups those lines into the questions buyers ask AI, keeping their exact words
A winning agent and a content plan agent that read your AEO audit and rank the pages to make
A page builder that drafts one answer page from a call, with a source for every claim
A weekly citation check that asks ChatGPT your buyer questions and records who it cites
Step by step prompts, a practice call, and a finished example run to compare against
Built by Will Leatherman and the team at Catalyst, who’ve built content and AI search systems for 150+ B2B companies.
Free
Turn your sales calls into pages AI cites. A Claude Code starter that mines calls, Reddit and X for buyer questions.