Building a Signal-Led GTM Playbook with an AI Stack
Building a Signal-Led GTM Playbook with an AI Stack
Let's set the stage: Everyone is still talking about how the MQL model doesn't work anymore, isn't sustainable for business growth, and isn't optimized for how the buyer's journey has completely changed. So (most) teams started to dabble in demand generation, and shook up the industry with a model that prioritizes building real demand/pipeline together with your GTM team, not collecting PDF downloads to pass to an SDR immediately.
2024-2025: Here's where things took a wild, but exciting turn in the past year. DG strategies are built around creating multiple touchpoints in a buyer's journey to educate them, provide value, evangelize your POV, and ultimately make them want to consider your product once it comes time to buy.
Sure, you can track those touchpoints and tell a cohesive customer journey story once a deal closes, but what are you doing with all of those touchpoints to make your GTM engine even more efficient/strategic in capturing and converting that demand faster?
Oh, and your leadership/board came knocking at your door, asking how you're using AI??
Enter: Signal-Led GTM with an AI Stack. This is built on the foundation of demand gen and ABM, but evolves into a playbook that creates and captures buying signals using AI tools (like Hockeystack) that can automatically feed high-intent accounts into your sales machine (outreach, direct to SDR/AE) with the appropriate sequences ready to go based on their signals.
So much more to unpack here, but we really want to share the playbook that we have built and evolved over the past two years, which we know is the now and future.
Here are the key questions we can answer & insights we can give:
- How you can pull these signals together (manually, to show why you need AI) and now automatically with an AI agent/workflow tool into your then outbound machine, making the most of your demand gen signals
- How do you measure the success of programs like this on an account/lead level if you're not optimizing for MQLs anymore? Aka, this playbook is the evolution of Demand Gen + ABM that replaces the MQL hamster wheel.
- How this playbook ultimately brings us to the evolution from lead gen -> demand gen -> signal-based GTM using AI and respects buyers throughout.
- How do you advocate for this strategy internally and up the chain to leadership/board? We all know internal selling is something that is always ongoing, and is frankly, necessary.
Session Agenda
- How you can pull these signals together (manually, to show why you need AI) and now automatically with an AI agent/workflow tool into your then outbound machine, making the most of your demand gen signals.
- How do you measure the success of programs like this on an account/lead level if you're not optimizing for MQLs anymore? Aka, this playbook is the evolution of Demand Gen + ABM that replaces the MQL hamster wheel.
- How this playbook ultimately brings us to the evolution from lead gen -> demand gen -> signal-based GTM using AI and respects buyers throughout.
- How do you advocate for this strategy internally and up the chain to leadership/board? We all know internal selling is something that is always ongoing, and is frankly, necessary.
Speakers

About this Session's Track
GTM, Strategy & Exec Leadership
Hear from seasoned executives on crafting go‑to‑market strategies, aligning cross‑functional teams, and leading transformative growth initiatives.