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.

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, and what metric moved. Keep a simple change log.

What to automate first

Common failure points

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