Claim OwnershipVoices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
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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.
1793 Episodes
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Session recordings reveal user behavior patterns that rankings can't capture. Celeste Gonzalez from RicketyRoo demonstrates how enterprise SEOs can leverage existing behavioral data to optimize search experiences beyond traditional ranking metrics. The discussion covers building custom analytics tools to track user journey completion rates and implementing session recording analysis to identify conversion bottlenecks that standard SEO platforms miss.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Most SEOs ignore session recordings despite having access. Celeste Gonzalez from RicketyRoo demonstrates how behavioral data reveals conversion gaps that traditional ranking metrics miss entirely. She outlines frameworks for analyzing user interaction patterns beyond page views and presents strategies for building custom tools that extract actionable insights from existing data sources.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Session recordings reveal user behavior that rankings can't capture. Celeste Gonzalez from RicketyRoo demonstrates how enterprise SEOs can leverage existing analytics data to build custom tools that uncover actionable insights beyond traditional platform limitations. The conversation covers search experience optimization frameworks that connect user behavior data with conversion outcomes, plus strategies for developing proprietary measurement tools when standard SEO platforms fall short of enterprise needs.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
E-commerce teams waste resources tracking 300 million product variants when only top performers drive revenue. Katie Moro, Director of Managed Services at Productsup, has optimized 2.2 trillion products monthly for enterprise retailers navigating AI-driven commerce transformation. She reveals why brands must segment catalogs by KPIs rather than exposing entire inventories, demonstrates the readiness framework for agentic commerce platforms, and explains how structured product data with persona-based attributes creates competitive advantage in AI discovery channels.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
AI agents are reshaping product discovery for 2.2 trillion monthly products. Katie Moro, Director of Managed Services at Productsup, brings 15 years of e-commerce optimization experience from Channel Intelligence to Google Merchant Center to scaling enterprise product data strategies. She reveals the critical readiness KPI framework for AI commerce platforms, explains why exposing entire catalogs creates measurement chaos, and demonstrates how structured persona-based segmentation drives measurable results at the SKU level.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
AI platforms require strategic catalog segmentation to maximize performance outcomes. Katie Moro, Director of Managed Services at Productsup, shares her KPI-driven approach to product feed optimization that has proven effective across enterprise e-commerce implementations. She outlines a framework for aligning catalog segments with specific business objectives—whether prioritizing revenue-driving SKUs, new customer acquisition through fresh inventory, or traffic generation via high-engagement products. Moro emphasizes the critical importance of granular segmentation strategies that scale with measurable growth targets.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
E-commerce brands waste millions exposing entire product catalogs to AI platforms. Katie Moro, Director of Managed Services at Productsup, manages 2.2 trillion products monthly and reveals how strategic catalog segmentation drives measurable AI commerce results. The discussion covers KPI-driven product prioritization frameworks, persona-based catalog segmentation strategies, and structured data optimization for agentic commerce platforms.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
E-commerce brands waste billions on unfocused product feeds sent to AI platforms. Katie Moro, Director of Managed Services at Productsup, manages 2.2 trillion products monthly and previously served as a Google Shopping specialist, delivering measurable results for enterprise retailers navigating AI-driven commerce transformation. The discussion covers structured data readiness frameworks for agentic commerce platforms, KPI-driven catalog segmentation strategies that prevent the "send everything" trap, and household-level persona targeting methodologies that account for multi-device influence patterns within purchasing units.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Enterprise sites lose millions in revenue when LLM crawlers access proprietary data indiscriminately. Kaspar Szymanski, Senior Director at SearchBrothers and former Google Search Team member, shares proven strategies for protecting high-value content while maintaining search visibility. The discussion covers binary access control frameworks for enterprise data protection and strategic crawl management protocols that prevent proprietary information leakage without sacrificing organic performance.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Enterprise websites face critical decisions about LLM data access and proprietary content protection. Kaspar Szymanski, senior director at SearchBrothers and former Google Search Team member, shares strategic insights on balancing content accessibility with data security. The discussion covers binary access control frameworks for proprietary data, risk assessment methodologies for public versus private content exposure, and enterprise-level crawling governance strategies that prevent unintended data leakage while maintaining search visibility.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Enterprise teams waste resources blocking AI crawlers from already-public content. Kaspar Szymanski, Senior Director at SearchBrothers and former Google Search Team member, clarifies the fundamental misconception around proprietary data protection. He outlines the binary decision framework for content accessibility and explains why truly sensitive data requires access-level controls rather than crawler restrictions.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Enterprise teams face critical decisions about protecting proprietary data from LLM crawling. Kaspar Szymanski, Senior Director at SearchBrothers and former Google Search Team member, provides strategic guidance on data accessibility frameworks for large-scale operations. The discussion covers binary accessibility principles for proprietary content protection and enterprise-level crawling risk assessment methodologies that help organizations make informed decisions about their data exposure strategies.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Enterprise teams struggle with AI data protection decisions daily. Kaspar Szymanski, Senior Director at SearchBrothers and former Google Search Team member, shares strategic frameworks for managing proprietary content in the age of LLM crawling. He outlines the binary accessibility principle for enterprise data governance and provides decision-making criteria for balancing content visibility with intellectual property protection.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 face unprecedented organizational restructuring as AI transforms search workflows. Kristin Tynski, SVP of Creative and Co-founder at Fractl, has pioneered AI-driven content creation processes that reduced complex data journalism projects from weeks to hours while maintaining investigative depth. The discussion explores three critical frameworks for post-transformer search strategy: hyper-personalized content targeting that matches brand positioning with specific customer personas in AI latent spaces, investigative content development using agentic systems for original data analysis, and authority-building approaches that prioritize informational relevance over traditional link metrics.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 to adapt content strategies for AI-driven search transformation. Kristin Tynski, SVP of Creative and co-founder at Fractl, shares insights from building AI-powered data journalism workflows that reduced complex investigative projects from weeks to hours. The discussion covers hyper-personalization frameworks for post-transformer search environments, test-driven AI development processes for content creation, and strategic repositioning from generic market positioning to niche authority building that leverages long-tail visibility in personalized search results.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Most marketers fundamentally misunderstand AI model capabilities and limitations. Kristin Tynski, SVP of Creative and co-founder at Fractl, reveals why current approaches to AI content detection and visibility tracking are fundamentally flawed due to black box limitations. The discussion covers why AI detection tools maintain high false positive rates, how brand presence in training datasets affects AI visibility regardless of current optimization efforts, and why rough heuristics fail until next-generation systems enable actual reasoning inspection.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Enterprise teams struggle to adapt SEO strategies for AI-driven search transformation. Kristin Tynski, SVP of Creative and co-founder at Fractl, shares insights from building AI-powered content workflows that deliver measurable results for major brands. The discussion covers hyper-personalized search algorithms creating niche content opportunities, test-driven AI agent development for data journalism projects, and strategic brand positioning frameworks that prioritize deep customer understanding over broad market appeal.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Nearly nine in ten B2B buyers have adopted generative AI across their buying process. Jeff Reine, co-founder at Everything Machines with two decades in enterprise marketing, has built Everything Cache—a brand-side infrastructure solution that makes websites readable for LLM crawlers without rebuilding human sites. The discussion covers the fundamental shift from "search and discover" to "ask and answer" behavior, why traditional SEO measurement is becoming less relevant, and how the Everything Cache creates a parallel content structure optimized for AI search bots while remaining SEO-neutral.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Nearly nine in ten B2B buyers have adopted generative AI across the buying process. Jeff Reine, co-founder at Everything Machines, brings two decades of enterprise marketing experience and has built Everything Cache—a brand-side solution that makes websites readable for LLM crawlers without rebuilding human-facing sites. The discussion covers transitioning from "search and discover" to "ask and answer" paradigms, implementing AI-first infrastructure through semantic caching systems, and developing readability frameworks that optimize content visibility across multiple LLM platforms rather than relying on traditional SEO approaches.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Enterprise websites fail to communicate effectively with LLM crawlers and search bots. Jeff Reine, co-founder at Everything Machines with two decades in enterprise marketing and platform strategy, explains how companies are missing critical opportunities in AI-driven search. He introduces the concept of brand-side caching systems that make websites readable for machine learning models without requiring complete site rebuilds, and discusses why enterprises need dual communication strategies for both human users and automated crawlers.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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