Controlling Spend with a Negative Keyword Agent
Managing campaigns across multiple geographies, languages, and clusters, a global company turned to Aliveo AI's Negative Keyword Agent to reduce overlap, eliminate wasted spend, and streamline search term assignment.
Aliveo Product & ResearchApplied AI in Advertising
The Challenge: Wasted Spend and Overlapping Keywords
A leading global advertiser was running large-scale paid search campaigns across multiple markets, languages, and campaign clusters.
The problem was twofold:
- Wasted spend on irrelevant terms — Search queries triggering ads without driving conversions.
- Overlapping keyword coverage — Search terms matched to multiple campaigns or ad groups, causing inefficiency and competition within the account.
Manually policing these issues was impossible. Reviewing thousands of search terms per week, across different markets and clusters, would take teams weeks—and even then, important overlaps or irrelevant terms would slip through.
The Aliveo AI Solution: Negative Keyword Agent
Aliveo AI deployed a Negative Keyword Agent designed to act autonomously across campaigns and languages.
The Agent worked by:
- Similarity Scoring: Identifying when a search term was a close match to an existing keyword in another ad group or campaign.
- Search Term Reassignment: Automatically recommending where a search term should be reassigned for better alignment.
- Negative Keyword Insertion: Suggesting negative keywords in the original ad group to eliminate duplication and wasted spend.
- Geo & Language Awareness: Operating across markets and languages, ensuring local nuances were respected.
- Cluster-Level Control: Managing campaign clusters holistically so that overlap was prevented without sacrificing coverage.
Each recommendation came with clear guidance—whether to add a negative keyword, reassign a search term to another ad group, or leave it as-is if the match was strong.
The Impact: Leaner, Smarter Campaigns
The Negative Keyword Agent delivered measurable impact:
- Reduced wasted spend: Irrelevant and low-performing queries were systematically blocked with negative keywords.
- Cleaner account structures: Overlap between campaigns was minimized, allowing each ad group to operate efficiently.
- Improved conversion rates: Search terms were reassigned to the most relevant campaigns, improving ad relevance and performance.
- Scalability: What once took analysts weeks of review was now completed in hours, across all markets and languages.
Why This Matters
At global scale, negative keyword management and search term reassignment are not tactical tasks—they are strategic levers for efficiency and growth. Without automation, wasted spend compounds, and campaign overlap creates inefficiency.
With the Negative Keyword Agent:
- Teams gained back time.
- Campaigns stopped competing with each other.
- Budgets flowed into the right keywords in the right places.
The Agent became a silent partner in campaign management: always scanning, always reassigning, always optimizing.
Conclusion
This case study demonstrates how Aliveo AI's Negative Keyword Agent turned manual firefighting into an autonomous system for campaign efficiency.
By automating negative keyword management and search term reassignment, the brand achieved leaner account structures, reduced wasted spend, and improved global campaign performance.
If your organization is struggling with wasted spend or keyword overlap, Aliveo AI can help you deploy Agents that keep campaigns clean and efficient—reach out to us today.