AI is new, yet somehow it’s already exhausting. Marketers are under constant pressure to adopt more tools, track more things, rethink their strategies, figure out AI visibility, and generally become smarter about a technology that keeps changing underneath them.
So this week, we’re resurfacing a conversation with my co-author Rand Fishkin because it feels even more useful now than when we recorded it.
We talk about how to make smart marketing bets when perfect attribution is impossible, what AI visibility can and can’t actually tell you, why “rank tracking” inside LLMs is mostly the wrong mental model, and where AI genuinely helps marketers — provided you know enough to recognize when it’s wrong.
Most importantly, this is a conversation about keeping your head while everyone else is telling you to do more.
In this episode:
04:20 — How to measure marketing when you can’t prove causation
07:11 — Why executives accept fuzzy measurement for traditional advertising but demand perfect attribution from digital
08:45 — Leading and lagging indicators for zero-click marketing
14:07 — Why AI actually makes zero-click marketing easier to understand
19:49 — Rand’s skepticism about AI visibility tracking — and the research that changed his mind
27:02 — What Rand learned about real versus synthetic prompts
30:52 — Using AI to analyze marketing data without outsourcing your judgment
33:45 — Zero Click Marketing does not mean zero sales
Of course, you’ll learn all about this and more in our forthcoming book, Zero Click Marketing. It comes out this October, and you can preorder today at zeroclickmarketing.co/book.
Learn more: zeroclickmarketing.co
Connect with Amanda Natividad (@amandanat): LinkedIn | Substack | Instagram | Threads
This episode was produced in partnership with Share Your Genius
www.shareyourgenius.com
