
Hosted by Audrey Chia
The AI Marketer's Playbook is an actionable podcast focusing on AI and marketing. Each episode covers AI strategies, tools, and trends that are changing marketing. Listen to interviews with industry experts, analyze case studies, and get practical tips.
72 episodes · publishes weekly · latest 2026-06-11 · ~40 min/episode
Rank
#329
Substance
78.2
/ 100
Breakdown
Scored 2026-07
Updated monthly
Across the index
#329 of 6183
Substance
Top 5%
outscores 95% of the index
The AI Marketer's Playbook ranks #329 on The B2B Podcast Index with a substance score of 78.2 out of 100, scored across 5 recent episodes. It scores highest on guest caliber and specificity & evidence. Cam Trew is a strong operator with concrete proof points: co-founded Kleo which reached $1M ARR in five months, co-founded a second AI company (Mentions), and personally built a LinkedIn following from zero to 19k in months with measurable impressions (1M/month). He has hands-on technical and product execution credibility. However, he is not a Fortune 500 operator or mega-scale founder, limiting this to a solid-but-not-elite score.
Averaged across 5 recently scored episodes, with cited evidence.
The episode contains useful tactical insights about LinkedIn content strategy, scarcity-driven GTM, and product positioning specific to Kleo. However, substantial portions are dedicated to personal narrative, product demo walkthroughs, and conversational padding that don't advance novel insights. The advice on finding AI use cases (listing processes, time spent) and the discussion of limited-seat strategy offers value, but the density of genuinely non-obvious ideas is moderate rather than exceptional.
“put all those processes down. How much time does it take me? How many times do I do it per week? Uh, tally that up, start at the top”
“when those seats ran out, we did not let anybody else in...what we did was we then created another sublist”
Cam presents some fresh contrarian angles on LinkedIn (e.g., scarcity and FOMO as legitimate strategy, not just manipulation; understanding platform rules differ from other social networks). However, much of the advice - write compelling hooks, choose contrarian topics, understand your audience, build email lists - is well-established in growth circles. The specific tactics (swipe files, writing style matching) are incremental, not category-defining.
“everything from scratch, everything that I've learned from these guys, which have m- many multiple successful businesses, I would, number one, probably look at building the email list because that was what we used to sell”
“if you just say what everyone else thinks and don't really give like a truly valuable insight or something that's different, something that people find interesting, you will just blend in”
Cam Trew is a strong operator with concrete proof points: co-founded Kleo which reached $1M ARR in five months, co-founded a second AI company (Mentions), and personally built a LinkedIn following from zero to 19k in months with measurable impressions (1M/month). He has hands-on technical and product execution credibility. However, he is not a Fortune 500 operator or mega-scale founder, limiting this to a solid-but-not-elite score.
“Kleo, a LinkedIn content platform that went from zero to 1 million ARR in just five months”
“I get roughly a million impressions a month now. Um, and I've only been doing it for, like, four, five months. Uh, at, like, 19,000 followers now”
The episode includes concrete specifics: Kleo 1.0 had 80k users before legal closure, V2 sold out in 4 days at $79, subsequent tiers locked in at higher prices, Cam gets 1M impressions/month over 5 months, reached 19k followers. However, many claims lack supporting detail: exact ARR breakdown, customer acquisition cost, churn rates, and Mentions' traction are entirely absent. Product mechanics are demonstrated but not quantified (how much does writing style customization actually improve engagement?).
“there was 80,000 users. And by default, uh, we had all of the, the emails of these people”
“we offered it to everybody at, like, a, a discounted rate. And I think they closed in, like, four days or something like that. Wow. Um, and then we're like, 'All right. Back to, back to the basics. Let's fix all the bugs. Do the next one.' $79, boom, came out”
Host Audrey Chia asks solid follow-up questions ('what was the biggest change for you?', 'how does Kleo set itself apart?', 'can Kleo do that automatically?') and pushes back gently on scarcity tactics and writing style override logic. However, many exchanges feel soft: she doesn't challenge Cam's claim that Kleo output is 'so much better' than competitors, doesn't probe the sustainability of the limited-seat model at scale, and largely lets him steer. The product demo section, while informative, lacks critical questioning about feature utility.
“I'm interested to also find out, right, so there are many other LinkedIn AI tools out there in the marketplace. How does Kleo set itself apart”
“I see. I know what you mean. Yes. And it, it's definitely a battle 'cause some people, they'll, they'll message us in support and they're like, 'Oh, like I don't like it.' But then we'll like look at the post that Kleo's generated”
First period on the Index - history builds from here.
9 scored on substance · 60 tracked in total.
71 | How Rachel Woods Uses AI Playbooks to Scale Operations
2026-06-11 · 40 min
70 | How Kinsey Soderberg Uses AI Without Losing Authenticity
2026-05-28 · 44 min
69 | Cam Trew on Building Kleo to $1M ARR
2026-05-08 · 40 min
68 | Ryan Doser on Smarter AI Marketing Strategies
2026-04-30 · 36 min
67 | Lin Tar Kuan and Eric Tse on AI Career Skills
2026-04-23 · 38 min
65 | Tim Moylan on Building With Claude Cowork
2026-03-26 · 47 min
64 | MJ Jaindl on AI-Powered LinkedIn Content That Sounds Human
2026-02-26 · 42 min
63 | Mahdi Shariff: No-Code AI Automation for Marketing Teams
2026-02-19 · 42 min
62 | Sam Browne on Building Personal Brands and Businesses with AI
2026-02-12 · 41 min
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