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

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, inc...

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 impo...

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 fut...

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 shape...

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 tech...

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...

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 tra...

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 emphasi...

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 di...

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 p...

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 f...

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 insi...

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 demonstrate...

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...

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 e...

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...

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 a...

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 t...

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 info...

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...

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...

SEO professionals face a rapidly evolving landscape with AI integration. Dale Bertrand, President of Fire&Spark, shares strategic insights for maintaining relevance in modern search. He emphasizes staying laser-focused on understanding customer search behaviors across platforms, monitoring how users interact with AI systems, and tracking which pages receive traffic from AI referrals rather tha...

The future of SEO requires exploration amid AI integration. Dale Bertrand, President of Fire&Spark, shares how SEO professionals must upgrade their skill sets to adapt to rapidly changing search technology. He emphasizes the importance of experimentation, both with new technologies and in redefining SEO's value within marketing organizations, while acknowledging that traditional SEO approaches...

Traditional SEO signals vs. LLM optimization presents a false choice. Dale Bertrand of Fire&Spark explains why relevance remains the fundamental target regardless of platform. He argues that search engines and AI platforms are technologically converging, making relevance to customer conversations the priority rather than optimizing for specific algorithms or platforms. See Privacy Policy at ht...

AI is transforming content creation roles and requirements. Dale Bertrand, President of Fire&Spark, explains how AI tools are democratizing content production by removing technical barriers to entry. He argues that future content creators will be defined by their vision and novel ideas rather than technical skills, positioning creative thinkers to thrive in an AI-augmented landscape. See Priva...