What AI Discovery Engines Expect and Static Websites Don't Deliver
Impossible d'ajouter des articles
Échec de l’élimination de la liste d'envies.
Impossible de suivre le podcast
Impossible de ne plus suivre le podcast
-
Lu par :
-
De :
À propos de ce contenu audio
Join Kerry W. Kirby and Jimmy Lancaster, the masterminds behind the Multifamily Tech Gurus Podcast Series, as they unpack a critical shift reshaping digital visibility: discovery is no longer driven solely by traditional search rankings, but by AI-powered engines that continuously evaluate relevance, depth, and momentum. In this new landscape, static property websites aren't just underperforming—they're being bypassed.
In this episode, Kerry and Jimmy explain what AI discovery engines actually look for when surfacing answers, recommendations, and sources of authority—and why most apartment websites fail to meet those expectations. They break down how shallow page structures, templated content, limited internal linking, and stagnant publishing signals prevent AI systems from recognizing expertise, context, and ongoing relevance.
Kerry and Jimmy's Words of Wisdom: "AI discovery engines don't rank websites the way search used to—they evaluate understanding, context, and continuity. If your site isn't expanding, connecting ideas, and demonstrating expertise over time, AI doesn't see authority—it sees a static snapshot. And static snapshots don't get discovered, cited, or recommended in an AI-driven world."
Resources: Tomorrow's Intelligence Built for Today's Renters
Vous êtes membre Amazon Prime ?
Bénéficiez automatiquement de 2 livres audio offerts.Bonne écoute !