Episódios
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Brand visibility faces new challenges in AI-driven search environments. Jason Lax, SEO Director at SAP, shares practical approaches for maintaining visibility when traditional search results aren't visible to users. He recommends leveraging alternative platforms like shopping and maps while conducting deeper research on brand perception across different buyer journeys. Lax also emphasizes the importance of understanding how content appears differently in AI platforms versus traditional search and developing new measurement frameworks for tracking performance.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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Traditional search vs. emerging AI platforms: which deserves focus? Jason Lax from SAP makes the case for prioritizing emerging technologies over legacy search, comparing it to becoming a mechanic for electric vehicles rather than gasoline cars. He positions Google's AI experience as a hybrid solution while explaining why investing in newer platforms offers greater potential for innovation and future-proofing SEO strategies.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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Consumer behavior is rapidly evolving with AI tools. Jason Lax from SAP examines how search patterns are shifting from traditional queries to more efficient AI-assisted interactions. He explores the "search less, do more" paradigm where users leverage new technologies to increase productivity, while also addressing the implications of zero-click search results and how technology reciprocally shapes user behavior.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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Should you separate traditional and AI search teams? Jason Lax from SAP weighs in on this emerging organizational question facing SEO departments. He suggests that while temporary separation might help teams develop specialized AI skills, the significant overlap in fundamentals means these functions will inevitably merge back together. Lax compares this to the relationship between content and technical SEO, emphasizing that while resources may be divided, the teams must work in lockstep rather than as isolated units.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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Structured data's role in search continues to evolve rapidly. Jason Lax from SAP examines whether structured metadata will become more critical as search engines advance or diminish in importance. He explains how both Google and Bing recently reinforced structured data's significance, highlighting its contribution to crawling efficiency and precision while serving as a foundation for more refined communication between systems.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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In a screenless search future, SEO strategies must adapt. Jason Lax, Technical SEO Expert at SAP, shares enterprise-level approaches for navigating rapid search evolution beyond traditional websites. He discusses how to mobilize strategic changes within large organizations, leverage observational insights to anticipate consumer behavior shifts, and prepare for AI-driven experiences that bypass traditional search entirely.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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Is optimizing for AI summarization a legitimate SEO strategy? Tyler Einberger from Momentic weighs in on the evolving landscape of content creation for AI consumption. He distinguishes between valuable approaches like leveraging original data and proprietary insights versus less effective tactics like mass-producing consensus content or simply replicating competitors' strategies. Einberger emphasizes that content built on expertise and unique perspectives represents a sustainable long-term approach while content created merely to game AI systems will likely fail.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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In this episode, Tyler Einberger of Momentic examines the misleading nature of the Google-OpenAI competition. He reveals how Google maintains distribution advantage through AI mode integration while explaining that ChatGPT isn't primarily a search product despite its capabilities. Tyler shares technical insights about how ChatGPT uses both Bing's index and Google Search for scheduled tasks, and discusses significant crawling slowdowns and indexation issues affecting major websites.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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The AI vs. traditional search optimization debate isn't as binary as it seems. Tyler Einberger from Momentic explains why fundamental SEO principles work effectively across both environments. He discusses prioritizing technical implementations like server-side rendering for LLM visibility, addressing measurement challenges in AI search environments, and adapting strategies based on how different platforms crawl and index content.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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Zero-click searches are evolving rapidly with AI and LLMs. Tyler Einberger from Momentic explains how this trend is already impacting SEO measurement and visibility. He discusses the growing challenges of data attribution when users stay within search platforms, the importance of triangulating analytics to demonstrate SEO value, and why properly accounting for direct traffic is becoming critical for accurate organic performance assessment.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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Is clickstream data the future of search intelligence? Tyler Einberger from Momentic challenges this assumption, arguing that clickstream's 10-30% accuracy margin limits its precision for detailed analysis. He advocates for combining clickstream with first-party data to understand market direction while using server logs to measure performance, emphasizing how user agent data reveals critical insights about website access patterns and crawl efficiency opportunities.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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SEO faces disruption from generative AI and LLMs as search alternatives. Tyler Einberger, Co-founder and Head of Growth at Momentic, shares clickstream data revealing ChatGPT users are 2.3 times more likely to click through to external websites than Google users. The report examines changing user behavior across platforms, highlights the measurement challenges of app-based traffic, and demonstrates how Google's defensive product strategy aims to maintain its dominant market position against rapidly growing AI competitors.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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When resources are limited, SEO teams face tough investment choices. Martha van Berkel, CEO of Schema App, advocates prioritizing comprehensive data cleanup before AI content expansion. She explains that websites often contain irrelevant content that dilutes authority, making cleanup essential for establishing a baseline before strategic expansion. Martha recommends following cleanup with targeted investment in high-quality, knowledge-rich content that serves both generative AI and human users effectively.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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LLMs fail because they're prediction machines, not fact machines. Michelle Robbins, Manager of Strategic Initiatives and Intelligence at LinkedIn, explains why AI models produce inconsistent responses and require critical evaluation. She advocates treating LLMs as thought partners rather than absolute authorities, emphasizing the critical importance of AI alignment to prevent harmful outputs and ensure optimal human outcomes as we progress toward artificial general intelligence.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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In the GenAI era, search is "behind" according to industry experts. Martha van Berkel, CEO of Schema App, explains why most SEOs remain too tactical rather than strategic in their approach to AI-driven search. She advocates for cross-functional collaboration, executive education about zero-click searches, and structured data implementation to bridge the gap between traditional SEO metrics and the new search landscape.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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The AI race is transforming search engine strategies. Michelle Robbins, Manager of Strategic Initiatives and Intelligence at LinkedIn, shares insights from her decade of tracking AI's evolution in search. She examines Google's cautious approach to AI integration, the challenges of monetizing AI-driven search experiences, and why companies must diversify beyond search engines to build sustainable audience acquisition strategies.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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Is AI-generated schema markup at scale effective? Martha van Berkel, CEO of Schema App, explains why automated schema generation falls short of understanding business nuances and human search intent. She argues that while AI can create basic drafts, it cannot properly define the complex relationships needed for a complete knowledge graph, requiring human expertise to craft meaningful schema that truly represents business data models.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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Structured data's role in AI is rapidly evolving. Martha van Berkel, CEO of Schema App, examines how structured data will become a critical data feed for large language models beyond traditional SEO applications. She explains why data with context is essential for reducing hallucinations in AI models, and predicts that frameworks and protocols will become increasingly important for organizing information that feeds into generative systems.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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Structured data may soon become mandatory for AI search rankings. Martha van Berkel, CEO of Schema App, shares her expert perspective on why search engines will likely require structured data implementation by 2025. She explains how computational costs will drive this requirement and predicts companies will need to adapt their technical SEO strategies to maintain visibility in AI-generated results.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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Structured data is critical for AI-powered search success. Martha van Berkel, CEO of Schema App, explains how to optimize content for generative AI environments. She details how schema markup creates a knowledge graph that enables AI inferencing, explores the Model Context Protocol (MCP) as a universal framework for LLMs, and demonstrates why unique, expert content with proper semantic connections outperforms generic material.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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