The Ads Audit That Runs Every Morning

Audits that only happen when someone has time

Everything in a paid account decays. Search terms drift toward irrelevance, geography that converted last quarter stops converting, and ad copy slowly stops matching the page behind it as the site gets updated by someone who does not run the ads.

None of that decay announces itself. It shows up as a gradually worse cost per acquisition, which is exactly the kind of slow trend a busy team explains away for a month or two before investigating.

The team knew what a good audit looked like. They simply could not run one across every account every week, so audits became reactive, triggered by a client noticing before they did.

Negative keywords and where the money leaks

The first agent works through search term data looking for spend that was never going to convert. Job seekers, students researching, people looking for a free version, competitor names being paid for at a premium, and the long tail of terms that are adjacent to the service but not the intent.

It proposes negatives with the evidence attached: the term, what it cost, what it returned, and why it was flagged. That evidence matters, because a negative keyword list applied without review will eventually block something that was converting quietly.

Geography gets the same treatment. Where the account is spending against where it is actually returning, surfaced as specific inclusions and exclusions rather than a heatmap somebody has to interpret.

Copy judged against what it is competing with

A second agent reviews headlines and descriptions, but not in isolation. An ad is only strong relative to the results around it, so the review considers what the ad has to sit next to, whether the value proposition is specific enough to distinguish it, and whether the copy still matches the intent of the terms it is now serving.

Recommendations are written as replacement copy rather than advice. The output is a headline you could paste in, not a note suggesting the headline be made more compelling, because the second kind of feedback creates work rather than removing it.

The landing page is part of the ad

The piece the team valued most was the one that looks least like an ads tool. A third agent fetches and analyses the landing page each ad points to, and judges it against that specific ad rather than in general.

It checks whether the promise in the headline is visible above the fold, whether the page confirms the offer the ad made, whether the call to action matches the intent of the keyword, and whether the page mentions the geography the ad is targeting. A perfectly written ad pointed at a page that does not confirm its promise is a slow leak, and it is invisible if you only ever look inside the ads platform.

Those recommendations are the ones that most often sat outside the team remit, which is precisely why nobody had been making them.

Recommendations, not autopilot

Nothing is applied automatically, and that was a deliberate limit rather than a phase-one compromise. An agent can see that a term is expensive and unconverting. It cannot see that the term is a strategic bet on a market the client is entering next quarter.

So the platform proposes, with reasoning and numbers attached, and a person decides. What changed is not who makes the call. It is that the call now gets put in front of them every morning instead of whenever someone has an afternoon free.