How To Remove Negative Content From Google Before AI Answers Cite It via @sejournal, @EraseDotCom
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Nicholas Lonski 44 seconds ago ⋅ 14 min read Nicholas Lonski Director of Demand Generation at erase.com Bio Follow This post was sponsored by Erase. The opinions expressed in this article are the sponsor’s own. Picture it. A client forwards you a link and asks if you can get it taken down. Can you remove a negative news article from Google search results? What about a mugshot, an old court record, or a data broker page listing their home address? The answers are different for every one of those, and getting the category wrong wastes months. Marketers and agencies increasingly field these requests, because reputation is now adjacent to search and clients assume whoever handles their SEO handles this too. The instinct is usually to promise suppression and start building content. Sometimes that is correct. Often there is a faster path that nobody checked for, and occasionally the content is legally removable and the client spent a year burying it instead. The urgency is not hypothetical. BrightLocal’s 2026 Local Consumer Review Survey found that 45% of consumers now use AI tools like ChatGPT for local business recommendations, up from just 6% a year earlier. And our previous analysis for Search Engine Journal showed that AI Overviews actively surface negative reviews and criticism that traditional rankings used to keep off page one. Here is the honest breakdown by content type, including which ones AI answers have made more urgent. Three different outcomes get called “removal,” and conflating them is where most of the wasted effort comes from. Suppression is still a legitimate and often necessary strategy. It is simply the weakest of the three against AI surfaces, because a model trained on or retrieving from a corpus does not care what position the source held. Pew Research Center’s browsing data analysis found that when an AI summary appears, users click a traditional search result only 8% of the time, roughly half the rate of searches without one. When the summary is the answer, position ten and position three can carry the same weight. Our own demand data reflects the shift. At Erase.com, inbound requests specifically to address negative AI Overview and assistant-answer content are up roughly 215% year over year, and a growing share of clients now ask for help with long-tail branded queries like a name plus “reddit” or a brand plus “reviews,” because those are the question-style searches most likely to trigger an AI summary. Three years ago, most of our clients only cared about their name by itself. Run every negative URL through three questions before you spend a cent. A “yes” on the second or third question usually means removal is worth pursuing. A “no” across the board, especially on a legitimate news or government site, usually means suppression is your realistic path. Write the answer next to each URL so you’re not re-arguing the same case months from now. Key Takeaway: Before you commit budget, decide which of the three outcomes the content actually qualifies for. Most wasted spend in reputation work comes from running the wrong play. Usually not through Google. Google will not deindex a legitimate news article on request, and asking is not a strategy. One procedural detail worth knowing: even after a page comes down, Google can keep showing the cached listing and snippet for weeks. Google’s free Outdated Content Tool exists for exactly this gap, and this step-by-step walkthrough of the Outdated Content Tool covers how to submit a refresh request and what gets requests denied. Most outlets will review a clear correction request, even without promising a timeline. Just remember this only clears the original source. Any syndicated copies still need their own request. Common Mistake: Celebrating when the original article comes down while a dozen syndicated copies keep circulating. The copies are often the ones AI answers pull from. This category is more removable than most people assume, and the law has moved. Search “[your state] mugshot removal law” before contacting any site. A number of states now require free removal once charges are dropped, dismissed, or expunged, and some ban removal fees outright. Pull the official dismissal paperwork or expungement certificate before you submit a request. A request backed by that document is much harder for a site to ignore than a request alone. If the record is still legitimately public, don’t wait on the outcome. Start building a more robust digital footprint with a LinkedIn page or simple bio page in parallel since that groundwork helps with suppression either way. Tip: Sequence matters. Expunge or seal first where possible, then pursue removal. Doing it in the other order means re-litigating every request. One encouraging trend from our side of the desk: mugshot and gripe-site removal requests at Erase.com have fallen by more than half since 2023. Google’s sustained crackdown has pushed these sites out of visible results, and LLMs largely ignore content that doesn’t rank on Google, Bing, or Brave Search. When a category stops surfacing, the problem shrinks on its own, which is exactly the dynamic that makes AI surfaces the new front to watch. Home addresses, phone numbers, relatives, and property records surface through data brokers, and this is the most systematically solvable category on the list. The scale is documented: more than 500 data brokers are registered on the California Privacy Protection Agency’s public data broker registry alone, and under the state’s Delete Act, California residents can now use the DROP platform to send a single deletion request to all of them, with brokers required to begin processing those requests in August 2026. Nearly every major broker maintains an opt-out process. They are tedious, inconsistently honored, and frequently reversed when the broker refreshes its dataset from public sources, which is why one-time opt-outs fail. The work is real, but it is procedural rather than adversarial. Either way, treat this as ongoing maintenance. Unfortunately, listings commonly reappear once a broker refreshes its data. Reddit will not remove a thread for being unflattering. Moderators occasionally will where a post violates subreddit rules, and posts that contain personal information or clear harassment can be actioned through platform policy. What has changed is downstream reach. A thread with a few dozen upvotes that never cracks page one now gets scraped into aggregators, quoted in roundup posts, and pulled into retrieval when someone asks an assistant about the brand. The thread itself may be invisible in search while the claim inside it reaches AI answers.
Source: Search Engine Journal
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