Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast

Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast

Dive deep into the ever-changing world of content and search engine marketing. Discover actionable strategies and learn ways to gain insights through data that will help you navigate the topsy-turvy world of SEO.

Episodes

July 18, 2025 3 mins

Will search engines eventually eliminate hreflang tags? Sebastien Edgar of SEOSeb & Previsible examines the future of international SEO signals. Despite advancements in machine learning, Edgar argues that hreflang tags provide essential efficiency for search engines identifying equivalent content across markets. The discussion compares hreflang implementation to schema markup, noting how both structured data formats co...

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Sebastein discusses Game plan for launching in five new international markets with limited resources

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Global SEO is increasingly fragmented across platforms and user behaviors. Sebastien Edgar, founder of SEOSeb and Previsible, explains how search diversification is forcing SEOs beyond their traditional comfort zones. He advocates for an omnichannel approach that leverages content across multiple platforms, urges SEOs to take ownership of the full conversion funnel, and emphasizes the growing importance of CRO alongside tr...

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Multilingual content generation with AI requires human oversight. Sebastien Edgar, SEO expert from SEOSeb & Previsible, examines the limitations of fully automated translation systems. He discusses the narrowing gap between AI and human translation quality, the persistent problem of hallucinations in AI-generated content, and why manual review remains essential despite rapid technological advancement.

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July 14, 2025 45 mins

Global SEO requires unique market-specific approaches. Sebastien Edgar, SEO consultant at SEOSeb and expert at Previsible, shares his international expansion strategies. Edgar demonstrates how to balance global consistency with local market nuances, leverage hreflang tags to transfer authority between markets, and adapt imagery and content to reflect cultural preferences while avoiding stereotypes.

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July 9, 2025 45 mins

The SEO industry is undergoing a seismic shift — from rising M&A activity to the growing dominance of AI in search. In this episode, Jordan Koene, SEO strategist and advisor at Previsible, is joined by Jim Boykin, founder of Internet Marketing Ninjas, to unpack their recent merger and what it means for the future of search.

Jim shares insights from over two decades at the forefront of SEO, including how link building ha...

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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 ho...

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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 strategie...

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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.

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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 tha...

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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 syst...

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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.

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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 ...

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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 crawli...

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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 c...

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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 perfor...

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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 ...

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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 p...

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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-qualit...

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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 outcom...

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