The search-term report is where Google Ads accounts are won — and it is the report most buyers skim, because reading 500 rows is miserable. This is the single best place to put AI to work.
The workflow
- Export the last 30 days of search terms with impressions, clicks, cost and conversions.
- Paste it into your AI tool with your business context: what you sell, who buys it, what a qualified search looks like.
- Ask for every term classified into three buckets:
CONVERT(add as exact match),BLOCK(add as negative),EXPLORE(ambiguous — needs more data). - Review the output yourself. The AI proposes; you decide. Ten minutes of review beats three hours of row-by-row reading.
The prompt structure that makes it work
Garbage context produces garbage classification. The prompt must include: your product, your price point, your customer, and 5 examples of searches you would never want. Specificity is the whole game.
What this is worth
On a typical ₹50,000/month Search account, 15–25% of spend goes to irrelevant queries in the first months. Mining weekly instead of “when we get time” routinely claws back most of that. It is the fastest payback of any workflow we teach — students run it on their own live data in Week 3, Session 6.
The same pattern extends to Meta breakdown reports, placement analysis and audience overlap. Once you see reports as classification problems, AI stops being a toy and starts being a team member.