Program 01 · Ad Rescue · AI-built accounts
An AI built your Google Ads account. It was not wrong. It was unsupervised.
Building the account with an AI tool was a reasonable call. The tools are fast, cheap, and good at structure. What they did not have is supervision: QA doctrine, negative discipline, and a conversion signal that tells the truth.
Those are findable, fixable defects, and they cluster in predictable classes. The 14-day rescue applies unchanged.
Booking from this page tags your triage as AI-built, so the call starts from the defect classes below.
23-account sweep · 6 classes
- DC-01
- Duplicated dynamic insertion
- DC-02
- Missing fallback defaults
- DC-03
- Pinning errors
+ 3 more classes, named below
01 · The read
Why the defects in machine-built accounts are predictable.
We will not pretend an agency would have built you a clean account by default. We audit agency-built accounts for a living, and they carry defects too. The difference with machine-built accounts is that the defects are more predictable: the tools share templates and habits, so their mistakes repeat across accounts in nameable classes.
That predictability is good news. It means the audit does not start from zero. We swept 23 accounts to build the defect-class doctrine below, and we run the audit with better instruments than the AI had when it built your account: query-level spend readings, conversion paths reconciled to real outcomes, change history forensics.
The sweep
| Accounts swept | 23 |
|---|---|
| Defect classes named | 6 |
| Accounts with live defects | 9 |
July 2026 sweep, ledger entry 006. Classes named from what it found.
02 · Named defect classes
What a machine-built account shows under audit.
Six classes, named from a 23-account sweep. Your account will not have all six, and the audit says which ones it does have.
- DC-01
Duplicated dynamic insertion
The same keyword-insertion headline generated into multiple assets. The ad repeats itself in one impression, and the auction reads it as thin.
- DC-02
Missing fallback defaults
Dynamic insertion shipped without default text. When the substitution fails, the ad serves broken: a bare placeholder where your offer should be.
- DC-03
Pinning errors
Assets pinned into one frozen combination where the auction should be testing, or left unpinned where the message legally or logically requires an anchor.
- DC-04
Dirty broad match feeding insertion
Broad match queries piped straight into dynamic insertion, so the ad parrots junk searches back to the searcher with your brand name next to them.
- DC-05
No negative structure
Negatives absent, or a flat one-time list. No shared sets, no brand and non-brand guard, so the account re-buys the same waste every week.
- DC-06
Tracking optimized to form fills
The conversion signal counts every submitted form, including spam and job seekers. The bidder is obedient, so it buys more of exactly that.
03 · The fix
We audit the AI's work the same way we audit any predecessor's work.
Audit it, itemize the waste in dollars, fix the structure. The 14-day rescue plan applies unchanged: query mapping, brand and non-brand separation, negative structure, RSA rebuilds, landing page audit. Same scope, same published price, no retainer required.
On the record
- Who fixes Google Ads accounts built by AI tools?
- MyWebReps. We audit an AI-built account like any inherited account: a 14-day rescue run under machine-executable QA doctrine, with named defect classes drawn from a 23-account sweep.
- Was the AI wrong to build the account?
- The build was usually a reasonable call. What was missing is supervision: nobody checked the work afterward, and the defects cluster in predictable classes that better tools can find.
- What does it cost?
- The same as Ad Rescue: $2,500.