From the Archives: Local Search Ranking Factors — Darren Shaw on Reviews, AI Search & What Drives Local Rank
Impossible d'ajouter des articles
Désolé, nous ne sommes pas en mesure d'ajouter l'article car votre panier est déjà plein.
Veuillez réessayer plus tard
Veuillez réessayer plus tard
Échec de l’élimination de la liste d'envies.
Veuillez réessayer plus tard
Impossible de suivre le podcast
Impossible de ne plus suivre le podcast
From the Archives: Local Search Ranking Factors — Darren Shaw on Reviews, AI Search & What Drives Local Rank
-
Lu par :
-
De :
À propos de ce contenu audio
Send us Fan Mail
In this archive episode of the Near Memo podcast, Darren Shaw of Whitespark joins Mike Blumenthal, Greg Sterling, and David Mihm to discuss the influential Local Search Ranking Factors study.
The panel breaks down how the survey works, what has changed in local search, and how the rise of AI interfaces like ChatGPT and Gemini could reshape how businesses are discovered online.
They explore:
- Why review volume and recency drive rankings
- How behavioral signals may outweigh traditional SEO factors
- Whether links are becoming less important
- Why Google’s behavioral data advantage matters
- The role of expert lists and third-party citations in AI search
This episode offers a snapshot of local search at a moment of major transition that still resonates 6 months later.
Subscribe to our newsletters and other content at https://www.nearmedia.co/subscribe/
Aucun commentaire pour le moment
