I’ve spent the better part of a decade watching the digital footprint of executives and brands. Early in my career, the playbook was simple: if something negative appeared in the search results, you buried it. You used suppression tactics—flooding the zone with press releases or optimized blog posts—to push the “problematic” link to page two or three. It was a game of whack-a-mole that we mostly won.
But that game is over. If you are dealing with a recurring reputation issue that keeps popping up like a bad penny, it’s not because you aren’t paying someone enough to "fix" it. It’s because the ground underneath us has shifted. We have moved from a world of "search results" to a world of "AI answers."
I'll be honest with you: when you ask yourself, "what would an investor, recruiter, or customer type into search?" you have to realize they aren’t just looking at links anymore. They are reading a synthesized paragraph generated by ChatGPT or Google’s Search Generative Experience (SGE). And those systems have a long, unforgiving memory.
The Death of the "Erase Everything" Myth
I see companies like Erase.com and various "reputation management" agencies make bold, sweeping claims. They promise they can wipe the slate clean. If you see a sales page promising, "We can fix anything," my advice is simple: run. These are the types of vague promises that make a claim sound inherently fake.
The reality is that you cannot "erase" the internet. When you try to suppress content, you are essentially playing a zero-sum game against an algorithm that is increasingly prioritizing accuracy over ranking. If a negative story exists on a reputable news site intelligenthq.com or a long-standing industry blog, the AI models are designed to find it, weigh it, and present it as part of your "narrative."
Why AI is Resurfacing Your Past
Why does that old issue keep coming back? It’s a phenomenon I call AI resurfacing. Previously, if a negative article was from 2018, it would naturally drift into obscurity. Google’s algorithms favored freshness. But LLMs (Large Language Models) don't care about "freshness" in the same way. They care about "relevance."
If an investor types your name into an AI-powered search tool, the model aggregates information from various sources. It pulls the headline from that 2018 news site, combines it with a complaint from a forum, and synthesizes a brief summary. Suddenly, a five-year-old issue feels like a current event. Context and nuance are almost always lost in these synthesized narratives. The AI doesn’t know the situation was resolved or that you were cleared of wrongdoing; it just sees the keywords and spits out the most "authoritative" summary it can build.
The Comparison of Old vs. New Tactics
Strategy Pre-AI Era AI-Driven Era Primary Tactic Suppression (Pushing links down) Content Architecture (Correcting the narrative) Core Metric Search Ranking (#1-10) Source Credibility & Data Accuracy Approach to Negatives Hide them Counterbalance themThe "No Pricing" Mistake
One of the biggest red flags I see in this industry is the lack of transparency regarding costs. When firms hide their pricing, they are banking on your desperation. They want to get you on a phone call to upsell you on "guaranteed removal" packages that—frankly—aren't guaranteed.
If you are evaluating a consultant, ask them: "Where is the money going?" If the answer is "to bribe a site owner to take a link down," you are opening yourself up to long-term risk. Authentic reputation work is about creating assets that the AI wants to crawl and trust. That takes time and expertise, not a black-market payment.
What Should You Actually Do?
If you want to stop the cycle of recurring reputation issues, you need to stop thinking about "suppression" and start thinking about "narrative ownership." Here is your action plan:
1. Audit Your Source Authority
AI models prioritize high-authority domains. If your own website is thin, outdated, or lacks a clear professional biography, the AI will default to external, potentially biased sources. You need to build a "digital fortress"—a hub of high-quality, verified information (your own site, verified professional profiles, peer-reviewed contributions) that acts as the "source of truth" for AI models.
2. Engage in "Proactive Correction"
Don't wait for the AI to summarize your mistake. Own the narrative. Exactly.. If there is a legitimate issue, publish a detailed, nuanced account of what happened, what you learned, and how you evolved on a high-authority domain (like a professional blog or industry publication). When you provide the primary source material, you make it much easier for AI to provide a balanced answer rather than a one-sided summary.
3. Continuous Monitoring is Not Just Vanity
You cannot "set and forget" reputation. You need a monitoring system that flags not just new mentions, but shifts in how your brand is summarized by AI. If ChatGPT starts describing you using a specific set of negative keywords, you need to change your website’s copy to emphasize different, more accurate descriptors. You have to speak the language of the machine.
Moving Beyond the Buzzwords
The industry is full of people obsessed with "Search Engine Optimization" (SEO) or "Online Reputation Management" (ORM). They throw around terms like "synergy," "digital footprint optimization," and "paradigm shift." Ignore them. Focus on the basics:
- Is the information accurate? If not, reach out to the site owner for a factual correction. Is the narrative balanced? If not, publish content that adds the missing context. Are you searchable for the right things? If you want to be known as a fintech expert, stop letting the AI define you by a minor HR issue from three years ago. Publish industry analysis, white papers, and expert commentary.
The Bottom Line
The reason your reputation issue keeps coming back is that you are trying to hide the truth, and the internet—specifically AI—is becoming a better detective every day. The best way to handle a recurring issue is to build a wall of quality content so large that the AI has no choice but to recognize it as the dominant version of you.
Stop looking for a "delete" button. There isn't one. Start looking for the gaps in your narrative, fill them with verifiable facts, and ensure that when the next investor or client types your name into an AI tool, the answer they get is a reflection of who you are today, not who the machine thinks you were yesterday.