Works with the AI tools you already use
Negative Keyword Builder
Audit search term reports and build upload-ready negative keyword lists to stop wasted ad spend.
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See it in action
You say
I've attached my Google Ads search term report for last month. We sell high-end furniture. Can you find the waste and give me an upload file? We want to avoid anything to do with cheap or used goods.
Your agent does
I've analyzed your report. Found 142 irrelevant terms totaling $420 in wasted spend.
Summary
- Negatives: 18 groups
- Potential Savings: $420.30
Upload-ready CSV
Keyword,Match type,Level,Reason "free",phrase,Campaign,Theme: Free/Cheap "used",phrase,Campaign,Theme: Second-hand "cheap sofa",exact,Ad Group,Zero conversions ($45 spend)
[Download negatives.csv]
What you get
About this skill
The problem
Advertisers lose significant budget to irrelevant search queries that will never convert. Manually auditing search term reports to identify these drains is slow, error-prone, and requires constant context switching between data analysis and platform-specific match type rules.
What it does
- Analyzes Google, Bing, and Amazon search term reports to identify zero-converting spend drains.
- Groups irrelevant queries by theme to create broad-reaching phrase and exact match exclusions.
- Generates platform-specific, upload-ready CSV files and copy-paste text blocks.
- Provides a starter negative list for new accounts based on business niche and common waste categories.
- Calculates the total potential savings from blocking identified waste candidates.
Frameworks & tools
Uses a Python-based parser for CSV and XLSX exports. Supports Google Ads, Microsoft Ads, and Amazon Advertising. Provides exclusion alternatives for Meta Ads.
Why this beats prompting it yourself
Generic prompts often hallucinate match type behavior or fail to distinguish between low-spend and high-waste queries. This tool uses a deterministic script to calculate spend thresholds and references specific platform documentation to ensure the resulting negatives don't accidentally block valid traffic.
Use cases
- Cleaning up a messy Google Ads account after a high-spend month without conversions.
- Building a "pre-launch" exclusion list for a new SaaS product to avoid "free" or "crack" queries.
- Auditing Amazon Sponsored Products reports to find "intent mismatches" that drive clicks but no sales.
Known limitations
Cannot create negative keywords for Meta Ads, as the platform does not support them. Relies on conversion data in reports to identify performance-based waste.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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