OpenAI, LinkedIn's Privacy Concerns, & Customer Evidence in GTM

Customer Proof Is Broken, AI Is Misused, and Relevance Still Reigns Supreme

This week’s GTM NewsDesk dives into the growing gap between flashy content and actual credibility. Mark Kilens and Nick Bennett take aim at the case study theater dominating B2B marketing—highlighting how most testimonials are polished nonsense that buyers no longer trust. Enter: customer evidence—a broader, more scalable, and more specific approach to building trust in a skeptical market.

They kick off with the potential impact of Jony Ive and Sam Altman’s rumored AI hardware collab. The promise? Moving from vague utility to embedded, contextual application. Because AI isn’t about the hype. It’s about helping people do things faster and smarter—without forcing them through 18 menus.

In segment two, the gloves come off as LinkedIn gets torched for sneaking users into a generative AI training program by default. Nick’s outraged. Mark’s indifferent. The bigger issue? Platforms keep hiding behind black-box algorithms while pretending it’s “customer first.” Meanwhile, users become training fodder for trillion-dollar companies.

The final segment delivers fire. Guest Evan Huck from UserEvidence breaks down why the old playbook—one shiny logo and a vague ROI quote—is dead. Today’s buyer wants specificity, scale, and signal. That means:

Playbook-style narratives over generic success stories.
Industry-tailored data instead of overpolished fluff.
Always-on customer proof, embedded across the funnel—not buried at the bottom.

🧠 Takeaways:

Customer evidence > Case studies. Think proof, not praise.
Specificity creates resonance. Buyers need to see themselves in the story.
AI needs context. Utility wins over raw capability.
Platforms treating users as data sources without consent erodes trust—and brand.
Scale ≠ spam. You need quantity to build relevance.