Beyond Copy: How To Use AI to Build GTM Systems That Scale

Beyond Copy: How To Use AI to Build GTM Systems That Scale

October 7, 2025, 2:00 PM ET

Dave Gerhardt (Exit Five), Eoin Clancy (AirOps), and Dan Guenet (Compound Growth Marketing) skip the theory for live builds and no-BS demos of AI-powered GTM systems.

OK, we get it. You can do cool things with AI in marketing. But what? Do you have any examples beyond the fluff? Beyond just writing copy? Beyond creating more AI slop? Yes we do, and you’ll get a ton of examples from this one.

In this free live session, we skip the theory and dive straight into practical implementation of AI for B2B marketers. No endless slide decks — expect live builds and no-BS demos tackling real marketing challenges.

Dave Gerhardt (Founder & CEO, Exit Five), Eoin Clancy (Head of Growth, AirOps), and Dan Guenet (GTM Engineering Lead, Compound Growth Marketing) share practical frameworks and examples of how B2B marketers are using AI to drive real results. From automating insights out of sales calls, to creating content humans actually want to read, to increasing visibility in AI search, you’ll see it all in action.

What we’ll cover:

  • How to build AI workflows that tie directly to your GTM strategy
  • Real examples of scaling content and insights without sacrificing quality
  • Where AI can automate the manual parts of marketing (and where it can’t)
  • Frameworks for evaluating AI tools and picking what’s worth your team’s time
  • Live demos of AI in action

Speakers

Dave Gerhardt — Founder & CEO, Exit Five

Eoin Clancy — Head of Growth, AirOps

Dan Guenet — GTM Engineering Lead, Compound Growth Marketing

Frequently Asked Questions

Is this session just about AI copywriting?

No—the whole point of this session is going beyond copy: live builds and demos of AI-powered GTM workflows, not just content generation.

What will I actually see in the replay?

Practical frameworks and live demos from marketers using AI to automate sales-call insights, scale content, and improve visibility in AI search.

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