9 min read
Build Google Ads Negative Keywords With AI—Without Blocking Good Traffic
Turn a search terms export into reviewed negative candidates with the match type, the scope, and the good searches each one could block.
An AI negative keyword builder is only as good as what you give it. Give it the actual search terms report, the campaign and ad group they came from, and a plain description of what the business sells and does not sell. Ask for candidates, not a list: for each proposed negative, the observed searches behind it, the match type, the scope, the commercial reason, and a valuable search it could also block.
Skip the generic list of bad words. Free, cheap, research, and jobs mean different things to different advertisers, and a bookkeeping firm and a recruiter would treat accounting jobs in opposite ways. Treat the AI's output as a draft to examine, and apply what survives at the smallest scope the rule actually needs.
Start with the business, then the export
The same query can be worthless to one advertiser and valuable to another. Accounting jobs is poor traffic for a bookkeeping service and exactly right for a recruitment firm. A generator that sees only the words cannot tell them apart, so the first input is the business, not the report.
Describe the offer, the customer, the service area, the products, the things the business deliberately does not do, and any campaigns that exist for research, careers, or support. Say what a valuable conversion is. That description is what lets the AI label intent instead of guessing at it.
Then export the search terms report. Keep the campaign and ad group each term came from, with clicks, cost, conversions, conversion value, and the date range. Include the current negative keyword lists if the tool can read them, so it can check for duplicates and scope conflicts before proposing anything.
Google omits some individual queries from search terms reporting for privacy. Performance Max has both a search terms report with reported queries and a separate insights view organized into categories. Give the AI the actual query report when the task is drafting negatives; a category label is a lead to investigate, not a search someone necessarily typed.
Choose the period from the business's conversion cycle. A recent query with no conversion may just be early. A query that is plainly outside the offer does not need to spend a set amount before it can go.
Export the search terms report
- Campaigns
- Insights and reports
- Search terms
Make the AI show its reasoning on every line
Ask for candidate changes, not a blocklist. Each row should connect the proposed negative to the searches that prompted it, the commercial reason for excluding them, and the scope where that reason applies.
A brief that works, for a hypothetical business: Review these search terms for our appliance repair service. We sell technician visits, not manuals or spare parts. Propose negatives only where the intent is clearly outside that offer. For each, show the observed query, the proposed negative text, the match type, the campaign scope, the reason, and a valuable search it could also block. Keep uncertain cases in a separate list. Do not apply anything.
That is one brief, not a template. A repair company that also sells parts needs a different one, and the distinctions your business actually draws are the ones to write down.
Keep facts, inferences, and recommendations apart in the output. The query and its cost are facts from the export. Probably looking for instructions is an inference. Exclude is a recommendation. A reviewer should be able to challenge any one of the three without losing the others.
| Column on the candidate sheet | What the reviewer gets from it |
|---|---|
| Observed searches and date range | Evidence the query came from this account, not from the model's imagination |
| Proposed negative and match type | The actual exclusion being considered, in the form it would be saved |
| Campaign, list, or account scope | Where the rule would apply, and therefore what else it touches |
| Reason | Why the intent is unwanted, in the business's own terms |
| A valuable search it could block | The counterexample that decides whether the match type is too wide |
Test each candidate against searches you want to keep
Ask for counterexamples before approving anything. If the AI proposes excluding free, what happens to free quote for a service business? If it proposes support, does the company sell paid support? These are ordinary language, not edge cases.
Check the match type against Google's negative keyword matching page. Negative broad match requires every word to be present in any order; negative phrase match requires the words in order; negative exact match blocks that query alone. None of them expands to synonyms, so a semantic cluster the AI built is not the set of searches Google will block; the text and match type are.
Separate intent from cost. A commercially relevant term can be expensive because of competition, a weak landing page, or an unrealistic target. A negative hides that symptom and removes a real customer with it.
Review candidates one at a time or in genuinely coherent groups. Approving a hundred unrelated terms because the first ten looked sensible is how good traffic gets blocked. Remove unsupported candidates from the upload and keep the uncertain ones as questions.
Apply at the smallest scope that fits the rule
A campaign negative, a shared list attached to selected campaigns, and an account-level negative are three different changes. Google documents account-level negatives as applying across all Search and Shopping inventory in the account, Performance Max included, with a limit of 1,000. That reach should be a decision, not a shortcut.
A term that is unwanted in a sales campaign may be wanted in a recruiting or support campaign, and two clients can use the same words for different products. A shared list is right when the rule is genuinely shared; copying it across accounts because the words look alike is not.
Name the account, campaign, or list in the change review, and check the existing exclusions first. Removing a campaign negative later will not restore a query that an account-level rule still blocks.
If the goal is excluding a brand from Performance Max, consider a brand exclusion rather than trying to reproduce brand-variant coverage with keywords. The Performance Max controls guide explains the distinction. A negative keyword builder should not treat every traffic problem as one more keyword to append.
| Scope | Reaches | Use when |
|---|---|---|
| Campaign negative | That campaign | The intent is unwanted here and wanted, or possible, elsewhere |
| Shared negative keyword list | Every campaign the list is attached to | The same rule genuinely applies to a set of campaigns and should be edited in one place |
| Account-level negative | All Search and Shopping inventory in the account, Performance Max included; up to 1,000 | The business never wants the search, in any campaign |
Questions and answers
Can I generate negatives without connecting my Google Ads account?
Yes, from a search terms export and a description of the business. The tool should say what it has and has not seen. A generic prompt with no account evidence can suggest ideas, but it cannot tell you which searches actually cost you money.
Should every zero-conversion query become a negative?
No. Weigh relevance, conversion delay, volume, and measurement quality. A relevant search that has not converted yet is a different thing from a search for a product you do not sell.
Which negative match type should I use?
The narrowest one that blocks what you mean. Negative exact blocks one query; negative phrase blocks that phrase in order with anything around it; negative broad blocks any search containing all the words. None expands to synonyms, so test the candidate against a search you want to keep before choosing.