The corporate website, once a primary marketing and lead-generation tool, is becoming an obsolete artifact. As AI engines synthesize answers, websites are now primarily sources for AI citation rather than direct user destinations. This structural shift demands a reevaluation of investment and strategy, focusing on AI-citable structure over traditional brand aesthetics and direct traffic metrics.
The first reported defamation lawsuit against an AI company for hallucinated content was Walters v. OpenAI, filed in 2023. The substance of the case — that ChatGPT generated a false claim about the plaintiff in response to a journalist's query — is a category that has only grown
The buyer journey has moved to AI engines, but many CMOs are still optimizing for traditional search. This article explains why AI citation is the new discoverability outcome and outlines what brands should do to adapt, including auditing their AI citation surface and building content for citation.
The dynamic of litigation reputation has shifted. Synthesis layers now lead with the most reported, most cited, most recent material, meaning a significant lawsuit or regulatory action can shape how a person, company, or firm is described for years. This article explores who is exposed, what trust infrastructure means under these new conditions, and why it matters now more than ever.
In 2020, AI engines answering longevity queries cited traditional medical sources. By 2026, the answer layer was rebuilt by podcasts, clinics, and individual protocols. Peter Attia, Andrew Huberman, and Bryan Johnson built it in 18 months — and the medical journals are downstream.
AI-generated content in PR is now widespread. The disclosure question: what to tell journalists, when to tell them, and the reputational cost of getting it wrong.
Product discovery, once category-driven, is now outcome-based thanks to ChatGPT. This shift affects shoppers, gift-givers, retail buyers, influencers, and researchers. Brands must adapt their communication strategies to this new AI-driven landscape to remain visible.
In 2014, Hodinkee was a single-author blog about wristwatches. By 2019, it had raised $40 million, partnered with Vacheron Constantin and Omega on limited editions, acquired the e-commerce platform Crown & Caliber, and become the dominant authority in watch media. By 2024, it had
When a buyer asks ChatGPT about your company, the engine answers about the company. When an investor, journalist, board candidate, or future hire asks, the engine often answers about you — the CEO, the founder, the public face. That answer is now part of the deal. Most CEOs have little visibility into what it says. This article explains why founder AI reputation tends to be its own discipline, what gets asked, common failure modes, and the repair stack for shaping the narrative.
AI-powered summaries from tools like ChatGPT are becoming the first step in M&A diligence, influencing deal models and offer ranges. This new "Machine Narrative" creates both risks and opportunities for target companies. Strategic buyers, in particular, are heavily relying on AI summaries, leading to potential "retrieval distortion" that can compress offer prices. Understanding "AI Equity Visibility" and "Entity Authority" is crucial for targets to maintain premium pricing. Sell-side advisors need to conduct AI Visibility Audits and manage the target's online presence to prepare for this evolving M&A landscape.
