
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 the same models on the same inputs, the marketing behind them...


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 actually build. No hot takes or vendor pitches. Just the data, the opinion, and the play. If you're a GTM or RevOps leader responsible for making AI work in your motion, this show is built for you. New episodes every two weeks.
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Contact path
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Booking probability
36%
Guest openness
Selective
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Signup to Generate a PitchMost 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.
Recent episodes include "#12: The one thing AI can't copy in GTM, with Kamil Rextin" (29 October 2026, 32 minutes), "#11: How to turn cold outbound into an always-on GTM conversation, with Keith Jensen" (15 October 2026, 44 minutes), and "#10: How to get the human and AI split right, with Greg Symons" (1 October 2026, 43 minutes).
Revenue Architects: The GTM.AI Podcast publishes roughly every two weeks, with episodes averaging 28 minutes.
Booking probability for Revenue Architects: The GTM.AI Podcast is 36%, and the host is rated Selective on guests. Revenue Architects: The GTM.AI Podcast requires a Pod Score of 80 or higher. Revenue Architects: The GTM.AI Podcast's contact route on record: verified email.
The strongest fits for Revenue Architects: The GTM.AI Podcast are Business & Management Consulting and IT Services & Software Development. Revenue Architects: The GTM.AI Podcast has a business audience.
Revenue Architects: The GTM.AI Podcast is a business podcast.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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 the same models on the same inputs, the marketing behind them...

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 link or a tracking pixel makes a message more likely to land...

Asymbl has already run the experiment that many GTM leaders are still making predictions about. Roughly 120 employees work alongside 200 digital workers, and every one of those agents reports to a named manager, the...

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 it is relabelling. And underneath the titles sits a question...

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 often and why it so rarely works. The fault is almost always...

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 gone cold. When 50 senior GTM leaders were asked what needs...

<p>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 their data stack, the answer wasn’t more agents, better...

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 episode of The Context Layer Tapes, Florin Tatulea and John...

<p>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.</p><p>In this episode of The Context Layer Tapes, Florin Tatulea and...

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 our survey. In this episode of The Context Layer Tapes...

<p>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 our survey.</p><p>In this episode of The Context Layer...

<p>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.</p><p>In this first episode of The Context Layer Tapes, Florin Tatulea and John...
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