Traditional brand trackers are often too slow, too expensive, and too removed from how consumers actually engage with brands today. Those initiatives can take weeks to field, cost thousands across markets, and rely on recall in artificial settings—all while your brand is actively being shaped through social media, search engines, and algorithm-driven feeds.

In this webinar, Quilt.AI will introduce a new framework for brand health tracking built for the way people experience brands now by analyzing conversations, search behaviors, and generative AI outputs at scale. You’ll see how leading brands are using this method to track real-time shifts in perception, understand the “why” behind brand sentiment, and connect digital signals to business strategy.

If your current tracker isn’t keeping up, or if you’re looking to reduce costs, move faster, and generate insights more frequently, this session will show how live digital signals can add speed, depth, and real-world context to your brand tracking strategy.

What You’ll Learn:

• How to track brand performance across social, search, and generative AI environments
• What LLM Equity is, why it matters, and how it’s reshaping brand visibility in a generative search environment.
• How to uncover deeper context using digital signals that reflect how consumers actually engage.