The impact of AI Search on search behavior

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• Current Podcast

  Part 1The impact of AI Search on search behavior

  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 analyzing clickstream data and developing relevance engineering frameworks for Fortune 500 clients. The discussion covers iPullRank's three-tier measurement approach (input metrics, channel metrics, performance metrics), the five-pillar relevance engineering framework for AI search optimization, and strategic audience segmentation techniques for navigating personalized AI search results across multiple platforms.

• Part 2One practice that you should absolutely be using

  53% of users don't return to Google AI mode after initial attempts. Garrett Sussman, Director of Marketing at iPullRank, brings enterprise-level insights from analyzing clickstream data across AI search platforms and developing relevance engineering frameworks for Fortune 500 brands. The discussion covers iPullRank's three-tier measurement approach (input metrics, channel metrics, performance metrics), the five-pillar relevance engineering framework combining AI optimization with digital PR strategy, and reverse-engineering methodologies for understanding AI search biases and personalization patterns.

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• Part 3The policy that we really want to see

  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.

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• Part 4Will AI search continue to expand?

  iPullRank's clickstream research reveals 53% of users abandon Google AI mode after first use. Garrett Sussman, Director of Marketing at iPullRank, shares data-driven insights from enterprise AI search behavior analysis and user adoption patterns across multiple search platforms. The discussion covers relevance engineering frameworks for multi-platform visibility, three-tier measurement strategies (input metrics, channel metrics, performance metrics), and audience-based content optimization for personalized AI search results.

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• Part 5Will visibility continue to be the north star of measuring AI performance?

  53% of users don't return to Google AI mode after initial attempts, revealing a gap between AI search hype and actual behavior. Garrett Sussman, Director of Marketing at iPullRank, brings enterprise-level insights from clickstream research and AI search performance data across major platforms. The discussion covers iPullRank's relevance engineering framework—encompassing AI information retrieval, content strategy, digital PR, and user experience optimization—plus three-tier measurement approaches that separate input metrics from channel performance and business outcomes.

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