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Your buyers can tell when they’re being “processed” instead of understood and AI is making that gap wider. I’m joined by Megan Stark, CEO at CubicICE, to talk about what actually builds trust in industrial B2B marketing when your audience is technical, impatient with fluff, and focused on outcomes. We get practical about credibility: speaking the customer’s language, staying honest when you don’t know something, and earning confidence through real sector knowledge rather than polished claims.
We also dig into the real friction behind AI adoption. The problem usually isn’t the tools, it’s human behavior: fear of change, fear of failure, and uncertainty about benefits. Megan shares a clear principle for AI and marketing automation: automate repetition, not relationships. That means using AI for lead scoring, data processing, reporting, and other monotonous work while keeping human judgment for nuance, strategy, and personal engagement. If you’ve ever cringed at robotic LinkedIn DMs, fake “personalized” email sequences, or chatbots that block real questions, you’ll feel seen.
Finally, we tackle discoverability as buyers increasingly research inside LLMs instead of Google. We discuss why gated content can make B2B brands invisible, how ungating high-value resources supports AI-driven discovery, and why answer engine optimization (AEO) is becoming essential for modern B2B demand generation. If you care about reputation, retention, measurable growth, and staying findable in an AI-first world, this conversation will sharpen your approach.
This episode was recorded through a Descript call on April 23, 2026. Read the blog article and show notes here: https://webdrie.net/how-to-use-ai-without-losing-the-human-touch-in-b2b
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