AI will write every Google Ads audit. Who checks the numbers?

By Shivendra Rawat · 6 October 2026 · 6 min read

For twenty years a Google Ads audit was scarce expertise sold as a PDF. Now ChatGPT and Claude write a convincing one in seconds, for free. When writing the audit costs nothing, the value moves to three things AI doesn't give you on its own: numbers you can verify, judgment about what to do, and someone accountable for the call.

The old audit was a black box

I audit Google Ads accounts for a living, and the market has always had a strange shape. An audit can cost nothing or a few thousand dollars, and the buyer can't tell a good one from a bad one before paying. Most are a template, some screenshots and a handful of percentages nobody can trace back to the account. The client can't check them, so they pay and hope.

AI didn't fix that. It made the supply of audits infinite and kept them just as hard to check.

1. Writing the audit becomes free. Checking it becomes the product.

When we checked 682 numbers in 13 AI-written audits, 94% matched the export. The 3% that were wrong were nearly all numbers the AI had worked out itself, and they read exactly as confidently as the right ones. That is the new problem in one line: the audit is cheap, the doubt is expensive. Whoever can say which numbers hold up owns the valuable part.

2. Every audit will ship with its working

An invoice lists its line items. An audit will soon list where each number comes from: which rows it adds up, which total it divides by, which figure is a target rather than a fact. Audits that can't show their working will start to look the way an invoice without line items looks now. Our own reports already work this way: code computes every figure and a checker traces each one to the export before the report is shown.

3. Audits stop being annual events

A one-off audit made sense when each one took a specialist a day. When an audit takes a minute, you run it every week, then on every new export, then every time someone changes the account. The audit turns into monitoring: what changed, what it cost, and whether the numbers in last month's report still hold.

4. The auditor's job moves from counting to deciding

The arithmetic is the part that is going away. What stays is judgment that no export contains:

• Which "wasted" search terms are proven bad, and which are only unlucky so far. (Most audits can't tell the difference. Here's the math.)
• Whether Performance Max is finding new customers or buying brand searches you'd have won anyway.
• What a conversion is actually worth to this business, given its margins and lead quality.
• What to leave alone. The best audits often recommend less change, not more.

AI is getting better at all of these. But someone still has to own the decision and live with the result, and clients will pay for that long after they stop paying for counting.

5. Trust moves to tools you can inspect

Every new AI tool wants access to your ad account. Most advertisers will not hand write access to a dozen of them. I expect the trusted tools to be the ones that can't change anything: read-only, working from an export, with code you can read. Open source stops being a nice-to-have and becomes the proof.

What doesn't change: garbage in, garbage out

If conversion tracking is wrong, every audit is wrong, human or AI, however well checked its arithmetic. Counting phone calls twice, missing offline sales or optimizing for form starts instead of leads will mislead the best checker in the world. Step one of any audit, in any future, is making sure the conversions are real.

What I'd do now

• Use AI to write audits and save the time. It is good at reading data and at explaining it.
• Check every number it worked out before you act on it or send it to a client. Totals, group sums, shares and ratios first.
• Ask any audit, AI or agency, to show its working. If it can't, treat its numbers as claims, not facts.
• Keep a person on the decisions that cost money: pausing, restructuring, cutting budgets.

Questions