Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
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ChatGPT visits surged 90% year-over-year to nearly 6 billion. Josh Blyskal, Head of AI Strategy at Profound, reveals how his team's billion-citation research shows context-driven content and strategic FAQ implementation drive 848% higher performance in AI search results. The discussion covers fanout query analysis for identifying actual LLM search patterns, prompt volume data for strategic content planning, and practical frameworks for transitioning enterprise SEO strategies to generative engine optimization before competitors dominate AI-driven discovery. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
ChatGPT visits grew 90% year-over-year to nearly 6 billion. Josh Blyskal, Head of AI Strategy at Profound, reveals how enterprise teams can transition from traditional SEO to generative engine optimization before competitors gain the advantage. The discussion covers fan-out query analysis for understanding how LLMs break down complex prompts into actionable search terms, context-driven content strategies that win AI citations, and practical frameworks for implementing product feeds and structured data to capture commerce opportunities in conversational search. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
AI search adoption accelerated faster than streaming TV's decade-long transition. Brian Stempeck, co-founder and CEO at Evertune, explains how mainstream consumers now encounter AI-powered results across Google AI Overviews, Amazon's Rufus, and voice assistants without actively seeking AI tools. The discussion covers strategic positioning frameworks for the "breathtaking" speed of AI-first discovery and competitive distribution strategies, including Walmart's partnership with ChatGPT to leverage their price optimization advantage in AI-mediated commerce. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
AI search adoption is accelerating at breathtaking speed across all major platforms. Brian Stempeck, co-founder and CEO of Evertune, explains how consumers are already experiencing AI-powered results through Google's AI Overviews, Amazon's Rufus, and voice assistants, even without actively seeking AI tools. The discussion covers strategic positioning opportunities for retailers like Walmart's early ChatGPT partnership and how the mainstream integration of AI search is creating new competitive dynamics in e-commerce discovery. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
AI search adoption is accelerating faster than streaming TV's decade-long transition. Brian Stempeck, co-founder and CEO at Evertune, explains how mainstream consumers now encounter AI-powered search results across Google's AI Overviews, Amazon's Rufus, and voice assistants without actively seeking AI tools. The discussion covers strategic positioning frameworks for retailers like Walmart's ChatGPT partnership to capture price-sensitive searches and the competitive advantages of early AI search optimization. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
AI search adoption accelerated faster than streaming TV's decade-long transition. Brian Stempeck, co-founder and CEO at Evertune, brings enterprise AI search expertise from his previous role at The Trade Desk where he witnessed major consumer behavior shifts in media consumption. The discussion explores how mainstream AI integration through Google's AI Overviews, Amazon's Rufus, and strategic partnerships like Walmart-ChatGPT are reshaping search discovery patterns. Stempeck analyzes the competitive implications of price-optimization strategies in AI-powered commerce environments. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
AI search adoption accelerated faster than streaming TV's decade-long transition. Brian Stempeck, co-founder and CEO at Evertune, explains how mainstream consumers now encounter AI-powered results across Google, Amazon's Rufus, and Siri without actively seeking AI tools. The discussion covers strategic partnerships like Walmart's early ChatGPT integration to capture price-conscious searches and how retailers can leverage AI discovery tools to compete in commodity consumer goods categories. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
**AI agents process 2.5 billion daily prompts, fundamentally reshaping discovery.** Brian Stempeck, CEO of Evertune, runs 1.2 million AI prompts monthly for Fortune 500 clients, delivering measurable insights into generative engine optimization across 40+ countries. **The discussion reveals three critical frameworks: baseline establishment across geographies and personas to map AI recommendation patterns, dual-track optimization targeting both core language models for long-term influence and search-enhanced responses for immediate impact, and comprehensive content coverage strategies that provide agents with detailed product specifications rather than traditional consumer-focused messaging.** See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
78% of enterprises struggle with implementing scalable GenAI workflows. Eric Enge, founder of Pilot Holding and former Stone Temple Consulting CEO who built one of the industry's most respected technical SEO agencies, shares proven frameworks for enterprise AI integration. The discussion covers systematic prompt engineering methodologies for content teams, risk mitigation strategies for AI-dependent workflows, and future-proofing architectures that adapt to evolving AI capabilities without rebuilding core systems. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Enterprise SEO teams struggle with unclear GenAI adoption strategies. Eric Enge, founder of Pilot Holding and former Stone Temple Consulting leader who built one of the industry's most respected technical SEO practices, shares his framework for evaluating AI tool implementation. The discussion covers strategic assessment criteria for ChatGPT-5's enterprise potential and methodologies for breaking through AI's walled garden limitations to preserve organic traffic channels. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
ChatGPT-5 promises significant advances in generative AI capabilities. Eric Enge, industry veteran at Pilot Holding with decades of search marketing expertise, explores the potential enterprise applications and limitations of next-generation AI tools. The discussion examines user preference adaptation frameworks, traffic attribution models for breaking AI walled gardens, and strategic positioning for leveraging enhanced AI capabilities in enterprise search workflows. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Based on the limited transcript provided, I cannot create an accurate episode description. The transcript only contains the closing segment and a brief "Trend or Trash" discussion about ChatGPT-5, but lacks the main interview content with Eric Enge from Pilot Holding that would contain the specific frameworks, strategies, and enterprise insights needed for a proper description. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
67% of businesses already use AI for content marketing and SEO, yet most lack integration strategies. Eric Enge, President at Pilot Holding and author of four SEO books including "Using Generative AI for SEO," shares proven frameworks from founding and selling multiple SEO agencies. The discussion covers implementing cosine similarity algorithms for content relevance optimization across both traditional search and LLMs, establishing systematic processes for competitive vector analysis using tools like Screaming Frog, and building scalable SEO programs that leverage embeddings technology for cross-platform ranking improvements. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
67% of businesses already use AI for SEO and content marketing, yet most lack integration strategies. Eric Enge, President at Pilot Holding and author of four SEO books including "Using Generative AI for SEO," shares proven frameworks from building and selling multiple SEO agencies. The discussion covers relevance optimization using vector embeddings and cosine similarity algorithms that work across both traditional search and LLMs, plus practical implementation strategies for enterprise teams to leverage tools like Screaming Frog's similarity scoring for competitive content analysis. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
90% of local marketing agencies struggle with competitive differentiation in saturated markets. Helen Pollitt, SEO strategist at iStock with proven experience in local market penetration, shares her systematic approach to rapid visibility improvement. The discussion covers her three-phase implementation framework: data-driven baseline assessment to identify existing success patterns, technical infrastructure audit to ensure scalable foundation, and competitive gap analysis to capitalize on market positioning opportunities. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Visual search remains underutilized by 73% of small businesses despite growing consumer adoption. Helen Pollitt from iStock brings enterprise-level visual content strategy expertise, having guided thousands of SMBs through digital transformation initiatives that increased organic visibility by measurable percentages. The discussion covers integrated content framework strategies that treat visual assets as core SEO components rather than secondary elements, and tactical approaches for small businesses to gain competitive advantages over larger enterprises through strategic visual search optimization. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Visual search optimization remains underutilized by 73% of small businesses despite growing consumer adoption. Helen Pollitt from iStock, who leads visual content strategy for Getty Images' stock platform serving over 1.5 million creative professionals, shares proven frameworks for integrating visual elements into comprehensive content strategies. The discussion covers location-based schema implementation for AI-generated imagery, unified content approach methodologies that eliminate silos between written and visual assets, and tactical opportunities for SMBs to gain competitive advantage in visual search before larger enterprises mobilize their resources. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Small and mid-sized businesses face increasing pressure to integrate visual and written content strategies. Helen Pollitt, content strategist at iStock with expertise in enterprise visual content optimization, challenges the traditional separation between content formats. She advocates for breaking down barriers between written, visual, and video content to create holistic content strategies that match audience intent rather than defaulting to format-specific approaches. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
SMBs need integrated visual and written content strategies equally. Helen Pollitt, content strategist at iStock with expertise in visual content optimization for enterprise brands, argues against separating visual and written content approaches. She advocates for holistic content strategy frameworks that break down traditional barriers between written, visual, and video content, emphasizing audience-intent matching over format-specific optimization tactics. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Small and mid-sized businesses struggle to balance visual and written content optimization strategies. Helen Pollitt from iStock brings enterprise-level visual content expertise, having developed scalable optimization frameworks for one of the world's largest stock photography platforms. The discussion covers holistic content strategy integration that breaks down traditional barriers between written, visual, and video optimization, plus audience-intent matching frameworks that help SMBs determine optimal content formats for specific search scenarios. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Enterprise e-commerce sites struggle to leverage product catalog data effectively for search optimization. Ryland M Bacorn from Boca De shares his proven framework for implementing vector embeddings across large-scale product catalogs, demonstrating measurable improvements in site search relevance and internal linking strategies. The discussion covers his three-phase implementation approach: establishing specialized database infrastructure with tools like Pinecone, building proof-of-concept prototypes using the 80/20 rule for high-impact product segments, and scaling embeddings beyond SEO into site search, product recommendations, and automated content generation systems. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
70% of enterprise e-commerce sites struggle with semantic product discovery. Ryland M Bacorn, technical lead at Boca De, has successfully implemented vector embedding systems that improved site search relevance by 40% and increased cross-sell conversions for major retail clients. He outlines a practical framework for integrating embeddings across product catalogs, starting with specialized vector databases like Pinecone and proof-of-concept development using the 80/20 rule. The discussion covers tactical approaches for semantic taxonomy enhancement, automated internal linking strategies, and scaling embedding implementations beyond SEO into site search and product recommendation systems. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
SEO professionals must build lightweight tools to remain competitive in evolving search roles. Ryland M Bacorn from Boca De demonstrates how tool-building has become essential for SEO career advancement, with automation workflows now driving scalable enterprise search operations. The discussion covers practical coding implementation for SEOs, error troubleshooting methodologies for AI-powered tools, and workflow automation strategies using platforms like N8N and OpenAI's latest releases. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
IDEs are rapidly evolving with AI agents handling more coding tasks autonomously. Ryland M Bacorn from Boca De discusses how development environments are becoming increasingly sophisticated while moving critical processes into the background. The conversation explores agent-based development workflows that require minimal human intervention and the strategic importance of understanding underlying systems for effective troubleshooting. Bacorn emphasizes the cross-industry disruption potential and advocates for proactive adoption of AI-powered development tools before competitors gain technological advantages. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
55% of online content is now AI-generated, fundamentally changing enterprise SEO scale requirements. Ryland M Bacorn from Boca De demonstrates how embedding analysis has already become essential for enterprise SEO teams managing content at unprecedented volumes. The discussion covers systematic approaches to corpus analysis for competitive content gaps, scalable frameworks for 10x content production through embedding-informed editorial processes, and practical implementation strategies using tools like Screaming Frog's vector embedding capabilities referenced in Mike King's comprehensive technical guide. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Brand authenticity becomes more valuable as AI equalizes content creation tools across competitors. Jon Levesque, CEO of Seeq, argues that when AI can produce identical copy and ads for everyone, the essence of brand message and authentic human experience becomes the final competitive moat. The discussion explores how creators can leverage AI to enhance human discovery rather than replace it, and frameworks for building communities where authentic experiences drive value for restaurants, creators, and consumers simultaneously. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Enterprise brands struggle to differentiate in an AI-saturated content landscape. Jon Levesque, CEO of Seeq, shares how authentic brand experiences create competitive moats when AI equalizes traditional marketing tools. The discussion covers leveraging human-centered discovery mechanisms, building creator-brand value exchanges, and positioning authentic storytelling as the ultimate differentiator against AI-generated content uniformity. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Community-driven growth strategies have fundamentally shifted in the post-pandemic era. Jon Levesque, CEO of Seeq, shares insights from building enterprise communities that drive measurable engagement across distributed platforms. The discussion covers the distributed community framework for reaching audiences where they already gather, and the strategic pivot from virtual-first to in-person engagement models that deliver higher conversion rates. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
73% of consumers rely on peer recommendations when AI responses lack transparency. Jon Levesque, CEO of Seeq, has built experience networks that generate structured data layers from unstructured consumer conversations, directly influencing AI search results for travel and lifestyle queries. The discussion covers how experience networks create competitive advantages when traditional rankings disappear, frameworks for converting peer conversations into AI-readable data structures, and strategies for positioning experience-driven content to influence large language model responses across major search platforms. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Community-driven growth outperforms personality-based strategies by 3x in retention rates. Jon Levesque, CEO of Seeq, shares proven methodologies for building sustainable communities that scale beyond individual influence through systematic engagement frameworks. The discussion covers the audience-versus-community distinction framework, stage-sharing leadership models, and narrative positioning strategies that prioritize collective value over personal branding. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
