Search as a Channel

Everyone's tracking AI search. Almost no one is tracking it correctly.

As AI platforms like ChatGPT, Google AI, Claude, and Grok take over how people discover and evaluate brands, marketing teams are scrambling to monitor every prompt variation they can think of. The result? Noise, false confidence, and a whole lot of wasted effort.

In this episode, we break down which LLM prompts are actually worth tracking and why the answer might be far fewer than you think.

We cover why AI systems care about intent categories, not individual phrasing, the five core prompt types that genuinely influence AI search visibility, and why branded and nonbranded prompts need to be tracked completely separately. We also explain how to turn prompt tracking from a data collection exercise into a real feedback loop for your content strategy.

If your brand looks fine in traditional search but keeps disappearing from AI-generated answers, this episode explains why and what to do about it.

Google just got a patent that should terrify every marketer.

It describes a system where Google uses your product data, your brand assets, and your conversion metrics to build its own landing pages and serve them in search results instead of your website. If your site doesn't hit Google's quality benchmarks, they don't send traffic your way. They just… replace you.

In this episode, we break down exactly what this patent reveals, how Google plans to evaluate your site (and what happens when you fail), and what it means that your website may already be quietly transitioning from a destination into a data source feeding Google's own commerce ecosystem.

This isn't speculation. It's filed, granted, and coming.

We cover what marketers and business owners need to do right now  from structured data architecture to building brand independence before Google finishes cutting you out of your own sales funnel.