
Hosted by Mike Allton
Your revenue team is brilliant, but they are trapped in quicksand. Research shows that high-performing sales and marketing professionals waste nearly 70% of their time on "Admin Drag" - the non-revenue generating tasks like data entry and meeting prep that kill momentum.
123 episodes · publishes weekly · latest 2026-06-14 · ~34 min/episode
Rank
#1943
Substance
67.0
/ 100
Breakdown
Scored 2026-07
Updated monthly
Across the index
#1943 of 6182
Substance
Top 31%
outscores 69% of the index
AI for Revenue Leaders: The AI Hat Podcast ranks #1943 on The B2B Podcast Index with a substance score of 67.0 out of 100, scored across 1 recent episode. It scores highest on guest caliber and insight density. Vernon is a genuine practitioner - founding AE who closed enterprise deals using MEDPIC, built real AI workflows at Supporting Cast and with Bayer, and has named Fortune 500 clients - but he is an individual contributor and consultant rather than a senior revenue leader, and the episode occasionally drifts into self-promotion mode.
Averaged across 1 recently scored episode, with cited evidence.
There are genuine tactical ideas - voice-cloning your own voice to replace NotebookLM hosts, the "7 minutes Saturday" talk-track podcast, correlating podcast map data to trial signups - but they're spread thin across 38 minutes heavily padded with the host's own monologues, a jingle intro, a self-promotional mid-roll ad, a network outro, and mutual agreement loops. Insight-per-minute is mediocre.
“If you have a rep that's doing about 2 million annually and they're spending 30 hours a month. So if they're spending 10 hours a week or a little more, a little less, that's about 300k in lost revenue.”
“they would go over what their top reps were talking about...the talk tracks that they were using, uh, the routes that they were taking, the things that they were doing to sell in the field. They would then take that and put that into a podcast.”
The pre-NotebookLM WonderCraft workflow and the idea of voice-cloning yourself to replace generic AI podcast hosts for internal training are genuinely interesting early-mover observations, but the bulk of the advice - find the pain point, remove friction, use AI to research prospects - is standard sales-enablement orthodoxy repackaged.
“The smartest thing to do would be clone your voice. Get a really good clone of your voice...replace the deep dive podcast from NotebookLM with your own voice and push that out internally.”
“this was pre NotebookLM just creating deep dives into case studies and informational things. I put together a thing for town halls for folks to do town halls, stuff like that.”
Vernon is a genuine practitioner - founding AE who closed enterprise deals using MEDPIC, built real AI workflows at Supporting Cast and with Bayer, and has named Fortune 500 clients - but he is an individual contributor and consultant rather than a senior revenue leader, and the episode occasionally drifts into self-promotion mode.
“I was the founding um, you know, sales account exec working with marketing was pretty much non existent.”
“there's a company out of Germany called Hypecast that I also work with is to look at past deals to predict the likelihood of success”
The episode names concrete tools (WonderCraft, NotebookLM, HubSpot, ZoomInfo, Apollo, Whisper Flow, Supporting Cast) and real companies (Bayer, P&G, AT&T, GE), and offers rough-but-stated numbers ($30K/month, $300K/year for a $2M rep); however, the flagship medical device case study is anonymised, calculations are asserted rather than evidenced, and the 335% engagement figure from the intro is never substantiated in the conversation itself.
“there was a medical device company. They have like all of these case studies and white papers from these doctors and they're using that for selling to other doctors and other hospital systems.”
“you can use something, I think there's a tool called Whisper Flow that does some of that, uh, where reps can talk through what they need to put into the CRM.”
The host demonstrates some preparation - correctly defining MEDPIC for the audience, asking about ROI measurement - but repeatedly interrupts to deliver his own mini-monologues, validates almost every answer rather than probing, and asks leading questions that let Vernon off the hook rather than stress-testing his claims or numbers.
“Another way to put it, at least you can tell me if I'm wrong, is to think first about the behavior that you're trying to change through the podcast”
“No, but that's great. That's, that's exactly right. We need to look at the processes first”
First period on the Index - history builds from here.
1 scored on substance · 60 tracked in total.
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