Cody Gillund

expert panel

Personalization was intended to be the “concierge” of digital marketing: a helpful nudge, a timely reminder or a suggested shortcut that made a customer feel understood. Somewhere along the way, however, personalized marketing started feeling more like a carnival barker with a confetti cannon—loud, distracting and relentless, as well as oddly confident about what you “must” want to see next. And all those sights and sounds aren’t just overwhelming; they’re often off-kilter and off-putting. In one survey, two-thirds of global consumers reported being targeted by inaccurate or invasive marketing. Now, Gartner’s November 2025 report, “Leadership Vision for 2026: Chief Marketing Officer,” adds a sharper warning: Overly aggressive, algorithm-driven personalization can actively weaken trust and leave consumers feeling overwhelmed with information and hesitant or regretful about making purchases. Even so, abandoning personalization altogether isn’t the answer; the majority of consumers still expect personalized interactions and are frustrated if they don’t receive them.  So what does “better personalization” look like in 2026, and how can CMOs make customers feel seen, not herded? Below, members of the Senior Executive CMO Think Tank share their takeaways from the Gartner report as well as practical strategies to help marketing teams produce personalized messaging that’s compelling rather than creepy. 

expert panel

CMOs accustomed to a focus on crafting polished brand messages for their own websites and traditional search are waking up to a new digital marketplace. Increasingly, buyers aren’t clicking links on search pages—they’re going to AI assistants to do work-related research, get detailed answers to personal questions, find product recommendations and even manage shopping lists. Brands can no longer rely solely on Google rankings—they need to show up in the AI-generated summaries people read, quote and act on. While a November 2025 Semrush report noted that ChatGPT is citing Reddit and Wikipedia less frequently than it has in the past, they’re still among its top three sources—a signal that “useful” content in the GenAI era often looks less like a polished campaign page and more like a living knowledge base. Companies are responding in a shift that’s been framed as a move toward generative engine optimization (GEO), where visibility increasingly depends on whether your expertise is shared in such a way that it answers real questions and can be pulled, summarized and trusted in AI-driven results.  So what new strategies should marketing leaders pursue in the face of these changes? Here, members of the Senior Executive CMO Think Tank—experts in brand storytelling, digital advertising, customer engagement and the rise of AI in marketing—share what these citation patterns suggest about the content AI models treat as credible and offer practical ways to rethink content and engagement.