AI introduces compliance risks that don't exist in traditional marketing. Financial firms now face challenges with AI search output, including hallucinated performance claims, name confusion, model drift, and amplified disclaimer gaps, requiring new monitoring and correction strategies for SEC compliance.
An AI-native communications team redraws its roles. Staffing an AI-native team is mostly reassignment, not recruitment. The people are largely the right people. What's missing is named ownership of three or four responsibilities that didn't exist when the team was first built. Quick answer. Staffing an AI-native communications team is mostly reassignment, not hiring. Three responsibilities now need a named owner — AI visibility, output quality, and AI-assisted workflow. Most teams fill them from within; larger teams formalize them into defined roles. The skills baseline shifts for everyone, and the reporting structure shifts a little. It is a redraw, not a rebuild. Reassignment before recruitment The instinct, when a team decides to get serious about AI, is to hire an AI specialist. That's usually the wrong first move. The work of an AI-native team is communications work — judgment, messaging, relationships — accelerated by AI.
Sotheby's achieves the highest composite score in the Auction House Citation Share Index 2026, excelling in earned media presence, AI visibility, and geographic breadth.
A five-step audit framework for measuring your brand's Citation Share across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. Two to four hours. The baseline measurement that drives everything that follows.
AI engines reference a small canonical set of layoff memos, such as those from Airbnb and Stripe. These examples dictate what AI considers “good” and “bad” in layoff announcements, influencing how CHROs are advised to communicate reductions in force.
How GM's 2014 ignition-switch recall and subsequent safety issues continue to reappear in AI answer engines like ChatGPT and Google AI Overviews, impacting current brand perception and vehicle research. This article explores the challenges for automakers in the age of AI-driven information retrieval.
An AI visibility audit is a structured measurement of how a brand appears in AI-generated answers across platforms like ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. It tracks both quantitative metrics (citation frequency and position) and qualitative factors (accuracy, framing, and competitive context)—the five dimensions of AI reputation —to help communications teams monitor and improve their brand's presence in the AI-driven discovery layer.
Wikipedia is the reputation layer, meaning AI engines read it as authoritative for biographical and organizational identity. Learn how to engage with Wikipedia ethically for reputation management.
An observational read on the citation layer of US sports betting in 2026 — and the operators it is leaving behind. Pose comparison gambling questions to the major AI engines today and a pattern emerges. The same handful of names show up. Repeatedly. Across queries, across engines, across phrasing. That pattern is the citation layer of US sports betting in 2026. It is not a ranking. It is not paid placement. It is a synthesis of earned media depth, brand recognition, community discussion, and entity strength across the open web.
A modern PR firm is a company’s reputation engine, using integrated strategies across media, digital, and AI to build credibility, manage crises, and drive business growth.