Google Ads QA with AI

Google Ads fails quietly. Spend keeps flowing while tracking breaks, keywords drift, and landing pages degrade.

A QA routine is the difference between controlled spend and slow leakage. The challenge is not knowing where to look.

With ads data and your supporting files connected, you can run a repeatable QA checklist and document fixes. See Google Ads, Features, Find files.

Workflow

Validate tracking first

Confirm conversions fire, attribution matches reality, and thank you pages load the correct tags.

Check query waste

Pull search terms, identify irrelevant themes, add negatives, and tighten match types.

Audit landing pages

Confirm message match, speed, and form completion. Capture what changed since last good performance.

Tie changes to outcomes

Record what you changed, when you changed it, and what metric moved. Keep a simple change log.

What to automate first

• Weekly tracking and conversion health check
• Search term waste summary with negative keyword suggestions
• Landing page issue list from GA and page speed signals

Common failure points

• Fixing ads before fixing tracking
• Over broad match types without a negative keyword process
• No change log, you cannot link actions to results
• Ignoring landing page conversion rate, only watching CPC