Shows / Revenue Architects: The GTM.AI Podcast

Revenue Architects: The GTM.AI Podcast
Most AI in GTM is failing, not because the models are wrong, but because the layer underneath them isn't ready. Revenue Architects is the bi-weekly podcast for GTM operators responsible for the infrastructure AI actually runs on. The data, the signals, the systems that decide whether AI in GTM works or fails. Hosted by John Lloyd, Principal Business Consultant at ZoomInfo, every episode starts with original data, lands a real take from operators in the trenches, and ends with a workflow you can…
Episodes
Revenue Architects: The GTM.AI Podcast#12: The one thing AI can't copy in GTM, with Kamil Rextin
When anyone can vibe code an app over a weekend, features stop being much of a moat. Products in the same category start to converge, and when everyone runs…
Revenue Architects: The GTM.AI Podcast#11: How to turn cold outbound into an always-on GTM conversation, with Keith Jensen
Reply rates have been falling for years, and many teams have responded by using AI to send more, faster. Cold email gives you fewer early signals too, since a…
Revenue Architects: The GTM.AI Podcast#10: How to get the human and AI split right, with Greg Symons
Asymbl has already run the experiment that many GTM leaders are still making predictions about. Roughly 120 employees work alongside 200 digital workers, and…
Revenue Architects: The GTM.AI Podcast#9: How to structure a GTM team that can actually run AI, with Mallory Lee
Job titles have moved faster than the jobs underneath them. RevOps, GTM engineer, growth engineer, ops partner. Some of it is real change in the work. Some of…
Revenue Architects: The GTM.AI Podcast#8: The non-negotiables in an AI-ready tech stack, with Brendan Powers
When an agent gets something wrong, the model is the first thing anyone blames. Bumping it up a tier is the cheapest available fix, which is why it happens so…
Revenue Architects: The GTM.AI Podcast#7: Build or buy? The GTM decision that's hard to decipher, with Mollie Bodensteiner
Building is cheap now. The trouble is that cheap to build has quietly turned into cheap to own, and those are two different things. Plenty of teams can list…
Revenue Architects: The GTM.AI Podcast#6: How to use an MCP to act on live GTM data (and the play that shows how)
MCP comes up in every other GTM conversation. Plenty of people can define it. Far fewer have connected one. When 50 senior GTM leaders were asked which AI use…
Revenue Architects: The GTM.AI Podcast#5: Why your best signals go cold before anyone acts (and what to implement)
Every buying signal has a half-life. A pricing-page visit, a job change, an intent spike: they all decay, and most GTM teams act on them long after they've…
Revenue Architects: The GTM.AI Podcast#4: Why your best investment isn't more AI (and what to do instead)
Most teams are still wondering which AI tool they should buy next. But when 50 senior GTM leaders were given a blank cheque and asked what they’d build in…
Revenue Architects: The GTM.AI Podcast#3: Why AI can't serve your GTM stack (and how to fix it)
Most teams plugged an AI agent into their CRM and expected it to just work. The data was there. The model was smart enough. It still came up short. In this…
Revenue Architects: The GTM.AI Podcast#2: What GTM leaders want from AI (and how to build it)
When you ask GTM leaders about AI, you expect a wish list of capabilities back. Smarter models, better content, sharper agents. But that's not what we saw on…
Revenue Architects: The GTM.AI Podcast#1: Why AI in GTM isn't working (and what's underneath it)
Every GTM team that's invested in AI in the last 18 months expected leverage. What they got was a sophisticated form of double-checking. In this first episode…