Stop Wasting Budget: Using Claude to Find Negative Keywords Automatically

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Updated:
Mar 6, 2026
Stop Wasting Budget: Using Claude to Find Negative Keywords Automatically

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Key Takeaways

Negative keywords are one of the most powerful levers in Google Ads — and one of the most consistently neglected. Every account running Search campaigns is paying for some portion of clicks from search queries that will never convert. The question isn't whether this is happening in your account. It's how much it's costing you and how quickly you can stop it.

Traditionally, finding negative keywords meant exporting the Search Terms report, spending 30–60 minutes scanning through hundreds or thousands of queries, manually grouping irrelevant terms, and then figuring out where to add them. Claude with MCP makes this a 5-minute conversation.

Why Negative Keywords Get Ignored

The irony of negative keyword management is that everyone knows it's important, but few accounts have a systematic process for it. The reasons are predictable: the Search Terms report is overwhelming at scale, the work is tedious, it's unclear which level to add negatives at, and the benefit — traffic you don't pay for — is invisible compared to the traffic you do.

The result is that most accounts have a negative keyword list set up at launch and rarely revisited. Over time, budget quietly drains into irrelevant queries while the team focuses on more visible optimizations.

The Core Mining Prompt

Prompt: Negative Keyword Mining

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Pull the Search Terms report for all campaigns in the last 45 days. Identify search terms that meet at least one of these criteria: (1) more than 3 clicks and zero conversions, (2) a CTR above 2% but a conversion rate of zero, (3) terms that contain words clearly unrelated to [your product/service]. Group the findings by theme and return a recommended negative keyword list. For each group, specify whether to add at campaign level or ad group level, and recommend broad match or phrase match.

Going Deeper: Category-Level Analysis

Prompt: Category Pattern Analysis

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Look at my Search Terms data from the last 90 days. Are there consistent patterns of irrelevant query categories appearing across multiple campaigns? For example: informational queries (how to, what is), competitor brand names, geographic terms outside my target area, or price-sensitive terms (free, cheap, discount). Group these by category and tell me which are costing the most in wasted spend.

Protecting Branded Terms

Prompt: Brand Safety Check

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Check my Search Terms report for any queries where competitors' brand names are triggering my ads. List the competitor terms generating impressions or clicks, the estimated spend on each, and recommend whether I should add these as negatives or consider bidding on them intentionally.

Building a Negative Keyword Hygiene Routine

The most effective accounts treat negative keyword management as a recurring process, not a one-time fix. A practical cadence is to run the core mining prompt monthly and the category analysis quarterly.

Prompt: Gap Analysis Against Existing Negatives

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Here is my current negative keyword list: [paste list]. Based on the Search Terms data from the last 60 days, which irrelevant queries are we still paying for that aren't covered by these negatives? Return only the gaps — terms costing money that aren't already excluded.

Tip: Don't add every suggested negative blindly. For any term where you're unsure, ask Claude to show you a sample of actual search queries containing that term before you exclude it. One misapplied broad match negative can block significant relevant traffic.

Sabarinathan
Sabari, a co-founder and Head of Paid Media at Tripledart, leads a team of performance marketers dedicated to helping startups and scaleups achieve their T2D3 goals. With experience working with over 70 B2B SaaS companies, Sabari has driven impressive results, such as a 4X increase in ARR through paid acquisition for Growth Nirvana, a 164% increase in deal pipeline using paid search for Apty, and a 48% reduction in CPL using custom strategies for Emitrr.

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