In five years will we still be talking about SEO rankings?
- Part 1Why SEO Rankings No Longer Drive Purchase Decisions
- Part 2The biggest misconception marketers still have about AI search
- Part 3Which AI search platform are marketers paying the least attention to today?
- Part 4One SEO metric teams rely on too much
- Part 5One thing every enterprise SEO team should start doing this year
- Part 6 In five years will we still be talking about SEO rankings?
- Part 1Why SEO Rankings No Longer Drive Purchase Decisions
- Part 2The biggest misconception marketers still have about AI search
- Part 3Which AI search platform are marketers paying the least attention to today?
- Part 4One SEO metric teams rely on too much
- Part 5One thing every enterprise SEO team should start doing this year
- Part 6 In five years will we still be talking about SEO rankings?
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Part 1Why SEO Rankings No Longer Drive Purchase Decisions
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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Part 2The biggest misconception marketers still have about AI search
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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Part 3Which AI search platform are marketers paying the least attention to today?
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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Part 4One SEO metric teams rely on too much
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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Part 5One thing every enterprise SEO team should start doing this year
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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Part 6In five years will we still be talking about SEO rankings?
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.





