Erase.com analyzes 714 suppression campaigns to show how AI Overviews change search strategies
Erase.com reviewed 714 suppression campaigns from August 2024 to May 2026 to study how negative search results can be pushed down. The data shows that the starting position of the worst negative result—especially if it ranks in the top three—strongly predicts whether a campaign will clear Page 1. Volume of published assets did not matter as much as their placement in the top 10, with successful…
What you can do with it
AI at Work →Analyzes suppression campaigns to show how to adjust strategies.
- Who for
- marketers
- Cost
- Price not stated
- Effort
- an afternoon
Use it for
- Target negative search results
- Optimize positive content for AI
- Adjust suppression timelines
How to set it up · From the article
- Identify all negative results on Page 1 and beyond for the target name.
- Determine the starting position of the worst negative result.
- Publish positive assets targeting top-10 placements and optimize for AI citations.
Watch out Check the details on the maker's page first
Key points from the news
- 714 suppression campaigns analyzed between August 2024 and May 2026 show top-3 placement predicts success
- AI Overviews cite URLs ranked beyond Page 10, requiring suppression past Page 2, not just off Page 1
- Court records clear Page 1 faster than news or government pages, which take months to suppress
The company found that court records and mugshots typically cleared Page 1 within two weeks, while news articles and government pages were harder to suppress. AI Overviews complicate suppression efforts, as only 37.9% of cited URLs ranked in the top 10 of searches, according to Ahrefs’ data. Erase.com recommends removing negatives at the source when possible, pushing the hardest negatives past Page 2, and treating positive assets as potential AI source material to improve visibility in AI-generated answers.
What 714 suppression campaigns show about pushing down negative results by Erase.com
MarTech · 30 September 2026
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This text was published by MarTech and written by Erase.com. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
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