Best practices told you to optimize reputation across all 10,000 locations equally—but granular competitive data just revealed that 7,000 of those stores don't need it, and you're wasting millions on the wrong priorities. The era of broad-based marketing is over.

Michael Walrath (CEO & Founder of Yext) reveals why we're entering a "post-best-practice world" where context trumps everything. From the 10,000 taco restaurant problem (why you're overspending on 7,000 stores that don't need help), to why pay-to-play platforms like Forrester and Gartner face disruption, to how ChatGPT's memory will match insurance agents to customers based on shared interests like golf—without anyone typing a single preference.

You'll learn why software and services are blending (Palantir trades at 105x revenue for this reason), why store managers need localized control instead of centralized brand police, and how AI context windows are fundamentally shifting from generic queries to completely bespoke recommendations. This is the playbook for moving beyond one-size-fits-all tactics into hyper-personalized optimization at scale.

Chapters:

00:00 Is "Content Everywhere" Already Outdated?

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