Summary In today's episode, I show you how to move beyond simple content generation and use AI for deep customer research. Here's what this means for you. You can build highly accurate synthetic customers to test your ideas and products before spending money on real-world testing. You'll also learn these concepts: creating detailed character cards…
Holophrasis, lexical density, lexical compression, nominalization, surprisal. These 5 words do some surprising things when you add them to prompting for AI. One of the things that AI does best is jargon. The nature of the underlying models means that high probability phrases lead to high probability results – and that’s often boring, unfocused, and…
Summary In today's episode, I explore the differences between self-hosting LLMs and using cloud providers to manage token costs for high-volume marketing. Here's what this means for you. You can maximize your ROI by matching your hardware or subscription choice to your specific AI workloads. You'll also learn these concepts: how to repurpose older GPUs…
Summary In today's episode, I reveal the single most important metric for measuring your generative engine optimization efforts. Here's what this means for you. You can finally justify your AI marketing spend with hard evidence rather than relying on unproven proxies. You'll also learn these concepts: why the "how did you hear about us" question…
Summary In today's episode, I explain how to move past generic AI prompts to create highly specific lead generation tools for coaching businesses. Here's what this means for you. You will transform mediocre AI fluff into compelling marketing assets that truly resonate with your target audience. You'll also learn these concepts: why specific prompts function…
Summary In today's episode, I debunk the myth that anyone can track specific AI prompts for brand attribution. Here's what this means for you. You can avoid wasting money on tools that claim to track private AI user conversations. You'll also learn these concepts: why AI companies guard their user data, how synthetic queries fail…
If you’re not getting good results from AI, there’s a chance that a failure of process decomposition is the root cause. Very often, we’ll give AI an ambiguous task that is comprised of many subtasks that we fail to define. As with so many things, that failure to define subtasks and decompose them appropriately means…
Summary In today's episode, I explain how early-stage founders can build a low-cost GEO tracking method without buying expensive software. Here's what this means for you. You can measure the effectiveness of your generative engine optimization strategy using tools you already own. You'll also learn these concepts: leveraging open text fields in contact forms, using…
