AI answers are now part of how people choose where to shop, eat, and book.
A shopper asks, "What's the best running shoe brand for flat feet?" That's a brand question. Then they ask, "Where can I try them on near me?" That's a local question. You need to show up in both.
Most teams track a handful of prompts and hope that covers it. This webinar shows you a more deliberate way to choose what to track, and what to do once you can see the results.
Join Tamir Melinek, Director of Product Management, and Reya Arora, Solutions Engineer at Yext, on how to build a prompt strategy that covers both, from the category-level questions that shape who gets considered to the local questions that decide who gets the visit, and how Scout turns that strategy into visibility insights and on-brand content, live in the product.
What you'll learn:
How to decide which prompts matter. Build a prompt set around the topics your customers care about, then break each topic into the intents behind it — so you track real questions and not guesses.
Where brand questions end and local questions begin. See why the two need different strategies and how to cover both without doubling your workload.
How to read your AI visibility. Learn what your results say about where you show up, where competitors show up instead, and what's driving the difference.
How to turn insights into content. See how to go from a visibility gap to a published, on-brand piece, whether that's a blog post, a how-to guide, a listicle, or a product page.
What to do first. Leave with a starting point for your own prompt strategy, whatever the size of your brand or number of locations.
