Summary In today's episode, I tackle a listener's question about measuring the organizational ROI of AI when the primary benefit shows up as unquantifiable individual time savings. Here's what this means for you. You'll discover that struggling to measure AI's impact almost always points to a deeper performance measurement problem your organization has not yet…
Summary In today's episode, I break down whether missing a micro trend actually costs marketers anything meaningful. Here's what this means for you. You'll see that chasing micro trends is really anomaly marketing, a costly attention treadmill that rarely produces durable brand value. You'll also learn these concepts: how your choice of audience and platform…
Summary In today's episode, I break down how companies should navigate the gap between optimizing for AI-generated summaries and optimizing for AI agents that act on a user's behalf. Here's what this means for you. You'll discover that making your site fully accessible to machines also lifts the experience for human users with visual impairments,…
Summary In today's episode, I walk through Trust Insights' new paper on theoretical AI usage and what jobs AI could actually do. Here's what this means for you. You gain a clearer framework for evaluating AI opportunities in your own organization beyond the panic-inducing headlines about job displacement. You'll also learn these concepts: why Anthropic's…
Summary In today's episode, I walk through how to decide whether to rebuild or pivot when your main marketing channel collapses. Here's what this means for you. You get a clear framework for evaluating opportunity cost and locating where your audience has actually moved. You'll also learn these concepts: how to survey your audience to…
Summary In today's episode, I answer a question about how to set realistic client expectations for marketing A/B testing timelines using data-driven calculators and confidence intervals. Here's what this means for you. You gain a method to build interactive tools that let stakeholders understand and own the risks of their testing decisions. You'll also learn…
Summary In today's episode, I walk through how to solve the cold start problem for AI personalization when you have zero behavioral data on new users. Here's what this means for you. You'll gain a practical framework for bootstrapping personalization using synthetic AI agents instead of forcing users through rating screens. You'll also learn these…
Summary In today's episode, I walk through practical techniques for extending Microsoft Copilot's capabilities beyond its out-of-the-box limitations using skills, agents, and its built-in Python environment. Here's what this means for you. You can transform a tool often dismissed as inferior into a capable enterprise AI system that handles deterministic tasks like word counting, regression…
Summary In today's episode, I walk through how to structure data for machines using JSON, schema, and lighter alternatives to improve AI search visibility. Here's what this means for you. You discover that GEO requires passing three sequential gates and that lighter weight formats like markdown and YAML may serve your AI visibility far better…
