AI Spends Your Ad Money and Doesn't Care

AI Can Make Your Ads Better—or Confidently Waste Your Money AI can be one of the most powerful tools inside your advertising account.

But there's a catch: if you don't understand what the AI is analyzing, you may have no way to know when its recommendations are wrong.

In this episode, Jeremy explains why AI is an incredible multiplier for paid advertising, where clinic owners get into trouble, and how to use it without handing a confident algorithm control of your marketing budget.

Episode Topics Why AI-generated ad recommendations can be dangerously convincing The context problem most clinic owners overlook Why tracking needs to be verified before optimizing campaigns How Jeremy uses AI to analyze and improve paid ads How AI skills and playbooks can turn expertise into repeatable systems AI Is Only as Good as the Context You Give It A patient can ask ChatGPT for a knee-pain program and receive a perfectly reasonable plan.

The problem is that it may be a perfectly reasonable plan for the wrong problem.

The same thing happens with advertising.

AI can analyze part of an account, confidently identify a "problem," and recommend a change without realizing it's missing critical information.

If you understand advertising, you can catch the mistake. If you don't, the recommendation can look completely legitimate.

When AI Gets Ads Wrong, It Spends Your Money Jeremy shares examples of AI making recommendations based on incomplete negative keyword data or telling a clinic to increase its budget because the reported cost per lead looked strong.

But what if the tracking isn't accurate?

If phone calls aren't being counted, booked appointments aren't firing correctly, or the pixel is broken, the numbers AI is analyzing aren't trustworthy.

Before optimizing anything, you have to know whether the underlying data is accurate.