The Challenge
Wingstop had already done the hard work of building a trusted digital foundation. Through Yext Listings and Knowledge Graph, their location data for all restaurants — addresses, hours, contact information — was accurate, consistent, and synced across Google, Apple Maps, Bing, and hundreds of other publishers. Yext Reviews helped them maintain brand consistency in reputation management across their growing footprint, too.
But as the search landscape shifted in the AI era, that foundation — as strong as it was — wasn't enough on its own.
With newer AI tools like ChatGPT — and the evolution of familiar platforms, like Ask Maps— guests are now finding restaurants in new ways. Instead of clicking through pages of results, they're getting direct answers and recommendations. And to get cited in these answers, brands need structured, schema-rich content: in other words, well-organized, semantically meaningful pages that AI engines something trust and understand.
Wingstop knew that AI-optimized local pages for each restaurant were the missing piece. They needed rich, structured location pages — not just listings — that could capture intent-driven searches, surface monthly limited-time offers, and feed AI and LLM engines with the kind of content that earns visibility in this new era of search.
But doing that across thousands of locations, with a rotating menu of promotions, wasn't feasible with custom-coded pages that required developer cycles for every update.
The team needed a pages strategy that could move as fast as the brand does.
