The policy that we really want to see
About this episode
Garrett Sussman discusses the gap between AI search hype and actual user behavior, along with iPullRank's relevance engineering frameworks.
53% of users don't return to Google AI mode after initial attempts, revealing the gap between AI search hype and actual user behavior. Garrett Sussman, Director of Marketing at iPullRank, brings enterprise-level insights from developing relevance engineering frameworks that help brands navigate AI-driven search transformation. The discussion covers iPullRank's five-pillar relevance engineering model (AI information retrieval, content strategy, digital PR, user experience, and discoverability), three-tier measurement approach for AI search performance, and strategic frameworks for balancing Google's 16 billion daily searches against emerging AI platforms' growing influence. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info .
People in this episode
Guest: Garrett Sussman
Topics covered
- AI search
- user behavior
- relevance engineering
- content strategy
- digital PR
- user experience
- discoverability
Keywords
- AI search
- user behavior
- relevance engineering
- content strategy
- digital PR
- user experience
- discoverability
- search performance
- Google searches
- AI platforms
Mentioned in this episode
Organizations: iPullRank, Google, AI
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