In this episode of The Visibility Brief, Yext SVP of Marketing Rebecca Colwell sits down with Chief Data Officer Christian Ward for the final episode of the year — and a timely discussion on one of the most critical issues facing AI today: accuracy.

As AI platforms increasingly power discovery, recommendations, and answers, consumers expect accurate responses, every time. But what happens when an LLM gets something wrong – whether it be about a fact, a location, or a brand? And with models improving daily, how should marketers approach their data, and the expanding responsibilities they now share with AI systems?

Rebecca and Christian break down Google’s recent FACTS Grounding Benchmark results and Suite, why even top models still make mistakes, and what brands must do to keep their data clean, consistent, and trustworthy across all digital touchpoints, including AI.

The episode breaks down:

Why accuracy matters more in AI search than in traditional
What brands can (and can’t) control
How models decide when to check facts against the live web, and a simple test marketers can use
How inconsistent data invites errors and hallucinations
What high-stakes accuracy really means for brands
Why memory and corroboration will define 2026

If you’re a marketing leader preparing for a world where AI powers a large share of searches, answers, and recommendations, this episode will help you understand why accuracy is becoming the new competitive battleground and how to make sure your brand shows up correctly… when it matters most.

Why Data Accuracy Will Define the Future of AI Search