Finds identical keywords (same text and match type) active in multiple ad groups or campaigns, with per-instance performance so the keeper is obvious — ending the internal competition that splits history and muddies results.
by Karooya & Pemavor (concept), Chiliad (rewrite)·chiliad.io
Uses Claude AI to analyze your search terms and recommend negative keywords with clear reasoning. Each term is evaluated for business relevance, intent, and conversion potential — then exported to a Google Sheet with actionable suggestions.
Finds brand search terms leaking into non-brand campaigns (inflating their stats and misleading Smart Bidding) and generic traffic riding in brand campaigns — with the misrouted spend quantified.
Measures how much of your exact-match spend actually flows through close variants and lists the zero-conversion variants — the most surgical negative keyword candidates in the account.
Reads negative keywords and placement exclusions from a Google Sheet and syncs them to multiple campaigns via shared negative keyword and placement lists. Optionally filters to campaigns with a specific label.
Quantifies spend on search queries containing competitor names, with conversion performance and a period-over-period trend — whether competitor bidding is your strategy or your broad-match accident.
Shows what your Dynamic Search Ads decided on their own: waste queries to negate, the landing pages absorbing DSA spend, and converting queries to promote into real keywords.
Duplicate Keywords Finder groups every active keyword by text plus match type and reports each set that exists in more than one place. Duplicates enter the same auctions, split their performance history, and leave the choice of which instance serves to Google. Each duplicate set is ranked by combined spend and lists every instance with its cost, clicks and conversions — the leading instance is marked as the natural keeper.
| Variable | Default |
|---|---|
DATE_RANGE | LAST_30_DAYS |
INCLUDE_PAUSED | false |
TOP_N | 50 |
EMAIL_ADDRESS | (empty) |
=== Duplicate Keywords (same text + match type in multiple places) ===
Keywords scanned: 1844 Duplicate sets: 3
"running shoes" (PHRASE) - 2 instances, combined cost 684.20
[KEEP?] Shoes — Generic > Running cost: 512.40 clicks: 410 conversions: 12.0
Sneakers > All Products cost: 171.80 clicks: 155 conversions: 2.0
"buy sneakers online" (EXACT) - 2 instances, combined cost 241.10
[KEEP?] Sneakers > Purchase Intent cost: 201.55 clicks: 168 conversions: 9.0
Shoes — Generic > Generic cost: 39.55 clicks: 30 conversions: 0.0
Email sent to you@example.comCross-campaign duplicates can be intentional when the campaigns target different locations, languages or devices — check settings before pausing. Only keywords that served in the window appear with stats; a duplicate with zero traffic still shows with zeros. Keyword text comparison is case-insensitive.