How to Audit Google Ads Search Terms: A Practical Checklist (2026)
A search term audit is not sorting the report by cost. Seven checks to spot irrelevant intent, distributed waste, and conflicts — before you block anything.
A Google Ads search term audit is how you decide which queries deserve your budget — before automation, broad match, or Smart Bidding sends more traffic you never approved.
It is not exporting the Search Terms Report and sorting by cost. That view optimizes for drama, not for the distributed waste that actually drains accounts. If you want the category behind this work, read what search ads governance means. If you already know spend is leaking, start with where your budget actually bleeds.
1. Pick a date window that matches conversion lag
A seven-day Search Terms Report makes almost every slow-converting query look like waste. Use at least 30 days for most accounts — often 90 when your sales cycle is longer. Match the window to how long a click typically needs before it converts.
2. Flag wrong intent before you flag high cost
Scan for queries that were never going to buy: free, jobs, salary, course, DIY, template, competitor names used for research. Cost is secondary here — one cheap irrelevant click is still irrelevant.
3. Group recurring words, not only top rows
Sort-by-cost hides distributed waste. If many queries share a word like “free” or “training,” aggregate their spend. That pattern is usually where audits find money the dashboard never highlighted.
4. Require evidence before you call it waste
Zero conversions on eight clicks is not a verdict. Compare the term to your account’s normal conversion rate and CPA. Low volume belongs in Observe until there is enough signal — see our guide to governance states for how that judgment is labeled. The six governance states.
5. Mark conflicts before you block
When a query wastes money but shares language with converters (“free trial” vs “free download”), do not rush a broad negative. Conflicts need a narrower rule or a human decision — blocking the shared word removes demand you still want.
6. Choose ad group, campaign, or account scope deliberately
The narrowest negative that solves the problem wins. Ad group negatives contain damage; account-level lists are easy to overuse and create silent collisions across campaigns.
7. Record the verdict, not just the exclusion
Write why you stopped or protected a pattern. Six weeks later, “why is this negative here?” should be answerable without re-running the entire analysis. That habit is what separates a one-time cleanup from stopping wasted spend for good.
What a search term audit is not
- Blindly negating every query with zero conversions.
- Downloading a generic negative keyword list built for another industry.
- Assuming the highest-cost row is the most important row.
- Skipping the step where you protect traffic that still converts.
When you need the full mechanics of exclusions — match types, N-grams, and scope — continue with how to find negative keywords in Google Ads.
AdKinex governs Search traffic by assigning governance states and showing the reasoning before you stop spend.
See how AdKinex worksFrequently asked questions
How do you audit Google Ads search terms?
Export or review the Search Terms Report for a window that matches your conversion lag (often 30–90 days). Look for irrelevant intent, spend without outcomes, and recurring words across many low-volume queries — not only the single most expensive row. Document a verdict and match type before adding any negative.
How often should you audit search terms in Google Ads?
Higher-spend accounts usually need weekly or daily review because new queries appear quickly. Smaller accounts may audit every one to two weeks. The right cadence is whatever prevents meaningful waste from compounding without negating terms that still need more data.
Is a search term audit the same as a negative keyword review?
Not exactly. A search term audit decides what each query means for your account — protect, observe, escalate, or stop. Negative keywords are one possible output. A good audit often ends with fewer, better exclusions rather than a longer list.
What is the fastest way to find bad search terms?
Sort by cost, then filter for queries with clearly wrong intent (free, jobs, DIY, competitor research). Also aggregate by recurring words — distributed waste rarely wins the sort-by-cost view. Cross-check anything with conversions before you block it.