SEO rankings may soon become invisible metrics behind AI-driven recommendations. Jason Lax, senior SEO and AI expert at SAP with nearly two decades in search, is leading the enterprise shift from traditional SEO into AEO and GEO. He reframes success around recommendation and recognition—being cited as the answer validator rather than just the click-through destination. The discussion centers on redefining ranking as a proxy signal, treating citations as trust recommendations, and building measurement frameworks that track recognition within AI-generated answers rather than page position alone.

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Only 34% of AI model citations align with brand-recommended positioning today. Jason Lax, senior SEO and AI expert at SAP, brings nearly two decades of search experience now focused on evolving enterprise strategy for AEO and GEO. He outlines a framework for prompting AI models directly to surface why they aren't recommending your brand, then converting those gaps into cross-functional tactics spanning product, pricing, and promotion. The discussion moves beyond ranking-driven SEO toward using AI model feedback as a diagnostic layer for pricing and product positioning challenges.

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Sessions and visits mislead teams as AI absorbs informational search intent. Jason Lax, senior SEO and AI expert at SAP with nearly two decades of search experience now leading AEO and GEO strategy, breaks down why declining traffic volume can mask rising engagement quality. He details how to layer conversion data and engagement dimensions alongside session counts to distinguish true visibility loss from a healthier, higher-intent traffic mix, and outlines the metric framework enterprise teams need as AI reshapes the top of the funnel.

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Marketers routinely misjudge which AI platforms their actual audience uses. Jason Lax, senior SEO and AI expert at SAP with nearly two decades in search now leading AEO and GEO strategy, argues platform prioritization should never be assumption-driven. He outlines a cross-platform measurement framework that tracks performance across every AI search surface rather than defaulting to personal usage patterns, paired with audience-segmented analysis that accounts for enterprise tool restrictions and generational usage splits to reveal true visibility gaps.

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76% of marketers still treat AI search as a separate content channel. Jason Lax, senior SEO and AI expert at SAP, argues this misconception is costing enterprise teams their competitive edge as he transitions his nearly two-decade SEO practice into AEO and GEO. He reframes the core measurement shift from ranking position to mention-worthiness, applying the same foundational SEO fundamentals rather than building parallel content strategies for AI-driven search surfaces. The discussion centers on unifying content strategy across traditional and AI search rather than fragmenting resources across separate channels.

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Rankings no longer predict whether buyers choose your brand. Jason Lax, senior SEO and AI expert at SAP, has spent nearly two decades building the company's global organic program and now leads its shift into AEO and GEO across dozens of markets. He details SAP's technical-plus-content split strategy, using LLM citation gaps and "why weren't we recommended" prompt audits to surface product and positioning issues, and reframes measurement around model consensus and citation quality rather than session volume alone.

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Google's shift toward "agentic everything" will redefine how search assistants act on users' behalf. Tasia Custode, founder and CEO of Brio Media, breaks down her post-Google I/O predictions on where agentic search is headed next. She outlines how agentic search is already surfacing in Gemini, Chrome, and core Search functionality, and explains the evolution from static AI Overviews to assistants that complete tasks autonomously across devices. The conversation covers the shift from software-based agentic features to product-level integration across smart devices, speakers, and phones as the next frontier for search strategy.

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AI-generated video content is evolving beyond short, generic clips. Tasia Custode of Brio Media examines the trajectory of multimodal AI video generation as tools like Google Flow mature. The discussion centers on the shift from disjointed 8-second AI clips toward storyboarded, structured scenes with narrative continuity. Custode identifies character consistency and scene continuity as the key technical thresholds separating experimental AI video output from production-ready content.

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