The first underwriter a small business now meets is not a human. It is an AI engine. And the same is true in reverse — the first vetting a business gets from a prospective customer is no longer a Google search.
The Terakeet investigation into an Epstein-linked scandal offers a rare look into the inner workings of reputation management, exposing a standard operating procedure that involves search engineering, content production, and SEO to manage visibility rather than address underlying issues.
In an environment where AI retrieval is increasingly shaping how buyers, investors, journalists, and prospective hires form first-pass impressions, the audit most CMOs have not yet run is the one they need most. Most CMOs have never asked ChatGPT what it thinks about their own brand.
A New York Times investigation detailed Terakeet's work for Goldman Sachs to neutralize "association risk" by manipulating search results related to Kathryn Ruemmler and Jeffrey Epstein. The firm aimed to displace negative content with positive narratives but ultimately failed, leading to Ruemmler's resignation. The exposé highlights a broader industry model of reputation management through search engine optimization, now facing challenges from increased scrutiny and the rise of AI-powered search.
Due to new SEC rules and legal precedents, Chief Information Security Officers (CISOs) are now public-facing spokespeople, yet most lack the required media and regulatory communication training.
The choice of a forensic incident response firm like Mandiant or CrowdStrike is a strategic communications decision that shapes the public narrative of a data breach. The vendor's brand halo is often attributed to the story.
Under SEC Item 1.05, determining if a cyber incident is 'material' requires input on reputational risk from the communications team, yet most are untrained for this legally consequential judgment.
The New Reputation Risk for Luxury Real Estate: Answer engines Have Read the Closing Records
