NotJustAds : The Creator Economy for B2B

The episode contains genuine practical insights about AI agents in GTM - particularly around LLM selection based on task type, lead scoring via signals rather than volume, and the importance of human-in-the-loop frameworks. However, substantial portions drift into personal brand-building tactics, Nordic startup ecosystem chat, and tool walkthroughs (Whisper Flow, Xerneo) that, while interesting, are tangential to the core B2B GTM thesis. The signal-to-noise ratio is moderately high but diluted by conversational meandering.

“I think every company is going to have to start thinking about where do we actually implement AI and how much do we actually like have it do. What, what, what makes sense.”

“I think a lot of where we come in and what I've been able to build now in my previous role as well as now building for the new company is what can we do now with the help of AI agents, with the help of automation that wasn't possible before.”

The guest articulates a genuinely contrarian stance - that outreach automation doesn't work well and that the real value lies in signal-picking and quality routing rather than volume scaling. The 'fat skills, thin harness' design philosophy and the concept of gauging AI's role in each process (30% vs. 100%) are thoughtful. However, the core thesis (humans-in-the-loop, creative + automation blend) is increasingly mainstream in 2024 GTM discourse, and the episode lacks counterintuitive claims that would differentiate it as truly original thinking.

“I think where AI becomes really good is picking uh, up on signals. Um, and something that I've used it for quite a lot is understanding like basically lead scoring.”

“The human at the center of the operation is still the most important part of the puzzle”

Otso is a credible practitioner with 15 years in the space, including 4.5 years at an established B2B analytics agency (Guru) working across companies from low millions to billions in revenue. He has now founded a GTM agency and actively builds and experiments with AI tools. However, he is not a household name, the company is pre-launch, and his scale of impact is regional (Nordic-focused). He's solid mid-tier operator material, not a scaled founder or category-defining executive.

“I've been working at Guru, uh, which is um, uh, a B2B focused digital marketing analytics agency. So worked with a lot of different sized B2B companies from like in the low millions to the highest biggest companies were in the billions of turnover.”

“I started as a copywriter, worked as a freelancer for about five, six years doing. It was the early days of social media and especially social media advertisement.”

The episode suffers from a significant lack of named client examples, case studies, or quantified results from Otso's previous work. He mentions Resend as an example of LLM-driven discovery, Fibler as a GTM benchmark, and personal tool usage (Whisper Flow, Xerneo, N8N) but provides almost no metrics on actual GTM outcomes - no conversion rates, pipeline impact, revenue uplift, or customer examples from his agency work. The new company is pre-launch and unnamed, further limiting evidential grounding. Claims about AI's value are conceptual rather than empirically anchored.

“there's an email service provider called Resend that has Grown like exponentially fast because all the LLMs are actually recommending it”

“I have agents that uh, run automated reporting, run automated kind of prospecting stuff and those and we're talking like less than like €1 per run.”

The host asks solid exploratory questions (background, company model, value prop, go-to-market strategy) but rarely pushes back or challenges claims. When Otso makes broad assertions - e.g., 'automation doesn't work for outreach' or 'subject matter experts + AI beats AI alone' - the host largely accepts and affirms rather than testing assumptions or asking for counterarguments. The conversation is warm and conversational but lacks the intellectual friction that would deepen analysis. The host does pursue follow-ups on tools and personal systems but doesn't probe the strategic or empirical underpinnings.

“Yeah, that's a great question.”

“Yeah, yeah, absolutely.”