Negative Keyword Generator

How to use it

1. Paste an Ads search-terms export containing Search term, Cost, and Conversions.
2. For safer theme filtering, add --- and paste a GSC Queries export for the relevant business area.
3. Select Analyze. Review suggestions from highest wasted spend downward.
4. Check attribution, match behavior, close variants, and strategic value before adding any negative.

Example output Illustrative data

These fictional rows assume an organic theme around technical SEO audits.

What you get

Wasted spend is the Ads cost in the supplied row; it is not a forecast of future savings. Exact is suggested for terms containing multiple words, while phrase is suggested for single words. The generic reason means all three model conditions passed. No finding means at least one condition failed, not that the term is proven valuable.

How it works

The engine builds a set of three-character n-grams from supplied GSC queries. Each Ads search term is converted to the same representation, and the share of its n-grams found in the theme is calculated. Terms at or below 10% overlap qualify only when cost is positive and conversions are zero. Aggregate “other” rows are excluded, and suggestions are sorted by spend.

Features

• Optional first-party organic theme instead of a generic stop-word list.
• Spend-ranked findings with conservative match-type defaults.
• Local processing and explicit Ads/GSC header validation.

Limitations

• Character overlap is lexical, not semantic; synonyms and homonyms can mislead it.
• The optional brand allowlist uses exact, contained, and typo-tolerant lexical matching; review exclusions for ambiguous brand/common-word terms.
• Conversion lag, value, assisted impact, and offline attribution are not modeled.
• Single-word phrase negatives can block many useful searches and require manual expansion checks.

Frequently asked questions