85% of brand mentions now come from third-party sources, not your website. Kevin Indig, Growth Advisor to over 40 companies including G2, Ramp, and Airbnb, reveals why most SEO teams are optimizing pages while visibility is won elsewhere. He discusses the critical shift from absolute metrics to relative share-of-voice measurements, the framework for testing AI visibility assumptions before over-investing, and why meta-thinking skills become essential when automation capabilities can distract from strategic priorities.

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85% of brand mentions now come from third-party sources, not your website. Kevin Indig, growth advisor to over 40 companies including G2, Ramp, and Airbnb, reveals why most SEO teams are optimizing pages while visibility is won elsewhere—in reviews, Reddit threads, and community-driven content. The discussion covers transitioning from traffic-based metrics to share of voice and citation tracking, implementing capacity-based budget allocation instead of output-driven spending, and building influence through mini-products and thought leadership rather than traditional evergreen content.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.

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.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Marketing leaders struggle to prove AI attribution ROI while competitors gain early advantages. Rahul Jain, CEO and co-founder at Noble, explains how his company helps enterprises transition from traditional healthcare sales approaches to faster-moving marketing attribution strategies. The discussion covers proactive positioning strategies for AI attribution implementation and competitive timing frameworks that prevent organizations from falling behind during the attribution maturation cycle.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.