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.
by Dmytro Tonkikh·chiliad.io
Reviews search terms and adds negative keywords automatically using AI-evaluated rules you configure in a companion admin panel, with email summaries of every change.
Sheet-driven negative keyword automation: define rules in a spreadsheet and the script adds negatives and emails alerts about irrelevant search terms without manual monitoring. Supports MCC.
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.
AI Search Term Analyzer fetches your search query data, batches it, and sends it to Claude for intelligent analysis. Unlike rule-based scripts, Claude understands context — it can tell the difference between a relevant long-tail query and a misleading match.
| Variable | Default |
|---|---|
ANTHROPIC_API_KEY | (required) |
BUSINESS_DESCRIPTION | Describe your business here |
AUTO_EXCLUDE | false |
Summary: 98 terms to keep, 44 terms to exclude.