Blomma makes career support accessible to everyone, breaking down barriers that have traditionally limited who gets access to quality career guidance. The company is on a mission to democratize career development so that anyone can find the support they need to have impact and navigate this new era of work.

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AI proficiency now determines entry-level career trajectory. Silvia Oviedo López, Co-founder and CEO of Blomma who previously led global content discovery and international growth teams at Pinterest and Canva, argues organizations must abandon specialist-first hiring for zero-to-three-year professionals. She outlines a generalist-first talent model built on rapid skill acquisition, redefines the specialist-versus-generalist tradeoff for AI-native teams, and details what an AI-ready organizational culture requires at scale.

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Enterprise coaching at scale demands more than generic AI advice. Silvia Oviedo López, Co-founder and CEO of Blomma and former leader of 1,500-person teams at Canva and Pinterest, shares how she's building AI-powered coaching infrastructure that personalizes context across career transitions. The conversation covers a vision-plan-execution framework for organizational transformation, portable coaching context that persists as employees change jobs, and a proactive coaching model that surfaces threaded guidance rather than waiting for reactive prompts.

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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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