Podcasts about searchmetrics

The SEO versus AEO debate misses the point entirely. Alex Sherman, co-founder and CEO of Bluefish AI, previously built and sold PromoteIQ to Microsoft, giving him rare perspective on how marketing channels transform at scale. He argues that treating search and agent optimization as competing disciplines is a losing strategy, that historical marketing channel shifts consistently open doors for new talent and new market entrants, and that brands need to prepare now for customer journeys increasingly mediated by AI agents rather than waiting for the split between human and agentic traffic to fully materialize.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Brand data will define AI search visibility next year. Alex Sherman, co-founder and CEO of Bluefish AI, previously built and sold PromoteIQ to Microsoft before turning to AI-driven discovery infrastructure. He breaks down what structured, syndicated brand data built specifically for large language models looks like in practice, and why the agentic customer journey demands a new data toolkit heading into the holiday season. The discussion centers on why brand data is poised to become a more powerful lever for AI visibility than it was through 2025.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most brands fight AI inaccuracies in the wrong place. Alex Sherman, co-founder and CEO of Bluefish AI and former co-founder of PromoteIQ (acquired by Microsoft), now helps enterprise brands close AI accuracy gaps across search and discovery platforms. He outlines why first-party content and direct data feeds to models outperform third-party correction efforts, how large language models increasingly weight brand-verified information over unverified sources like forum commentary, and the diagnostic framework brands need to identify where their AI accuracy gaps actually originate.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Search optimization terminology is splintering into competing acronyms. Jordan Koene, CEO and Co-Founder of Previsible, previously led SEO and content strategy at eBay and served as CEO of Searchmetrics before building a practice that prepares enterprise brands for AI-driven discovery. He and the host debate which term survives the next five years: SEO, GEO, or AEO. Koene argues SEO endures because search behavior persists even as the underlying engines shift from Google to LLMs, while the host draws a sharper line between optimizing for traditional search engines and engineering content for AI answer consumption.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Roughly 20% of AI search responses contain factual inaccuracies. Alex Sherman, co-founder and CEO of Bluefish, an AI accuracy and visibility platform serving Fortune 500 brands, previously co-founded PromoteIQ, a retail media platform acquired by Microsoft. He outlines a first-party content strategy for closing model knowledge gaps, a systematic diagnostic-and-measurement framework for tracking post-optimization accuracy improvement, and a matrix-organization model for aligning search, content, commerce, and compliance teams around a single agentic marketing mandate. Sherman also details the shift toward structured brand data feeds as the next scalable pathway for influencing how models represent products and services.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Search optimization terminology is splintering into competing acronyms. Jordan Koene, CEO and Co-Founder of Previsible, previously led SEO and content strategy at eBay and served as CEO of Searchmetrics before building a practice that prepares enterprise brands for AI-driven discovery. He and the host debate which term survives the next five years: SEO, GEO, or AEO. Koene argues SEO endures because search behavior persists even as the underlying engines shift from Google to LLMs, while the host draws a sharper line between optimizing for traditional search engines and engineering content for AI answer consumption.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI-generated video content is evolving beyond short, generic clips. Tasia Custode of Brio Media examines the trajectory of multimodal AI video generation as tools like Google Flow mature. The discussion centers on the shift from disjointed 8-second AI clips toward storyboarded, structured scenes with narrative continuity. Custode identifies character consistency and scene continuity as the key technical thresholds separating experimental AI video output from production-ready content.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Creator consistency separates thriving channels from abandoned ones. Tasia Custode, founder and CEO of Brio Media, breaks down why sustainable content strategy starts with genuine passion rather than prescribed niches. She unpacks the discipline required to sustain publishing consistency over time and explains why authentic, interest-driven topic selection outperforms formulaic channel planning.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The transcript provided only contains the opening icebreaker exchange (Jordan asking about a discontinued Google product, Tasia answering "Google Reader") — it cuts off before any actual SEO discussion begins. There's no content here about challenges, strategies, frameworks, or results tied to Tasia's work at Brio Media.Since the instructions explicitly say not to assume what the conversation was about, I can't responsibly fabricate the "data-driven challenge," "proven results," or "frameworks/strategies discussed" the task requires — none of that appears in the excerpt.Could you share the rest of the transcript (or at least the portion covering the substantive SEO discussion), or provide the guest bio / company description? Any of those would give me the real content needed to write an accurate description.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Content teams lose brand voice consistency across collaborative drafts. Tasia Custode, founder and CEO of Brio Media, breaks down an underused capability inside Google Workspace for enterprise content teams. She details Gemini's Refine feature in Google Docs, showing how to highlight a collaborator's edit and match it to brand voice or personal style with one click. She also outlines using the same feature to rewrite underperforming copy on demand, streamlining editorial consistency across team-authored content.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

YouTube view-to-subscriber ratios are declining as AI search expands into video. Tasia Custode, Founder and CEO of Brio Media, has published content weekly since 2020, building sustained audience growth by prioritizing helpfulness over virality. The conversation examines agentic search's shift from information retrieval to task completion, the monetization and attribution risks AI-generated summaries pose to creator watch time and citation value, and a performance framework built on click-through rate, retention data, and brand partnership signals rather than vanity metrics.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most AEO strategies fail without strong SEO fundamentals in place. Jenna Hannon, founder and CEO of Hatter and former early marketing hire at Uber Eats, has built an AI search agency helping brands establish visibility across Google and AI-generated answers. The conversation covers positioning exercises as the foundation for AI search strategy, message consistency frameworks drawn from product marketing discipline, and execution models for maintaining brand coherence across traditional and AI-driven search surfaces.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Programmatic AI content strategies are already failing marketers. Jenna Hannon, founder and CEO of Hatter and former first marketing hire at Uber Eats, built one of the first agencies dedicated to AI search visibility after watching volume-based, programmatic page tactics spike and then crash. She breaks down why classic SEO shortcuts—keyword stuffing and arbitrary content length—collapse under AI search evaluation, and why answer engine optimization depends on stronger fundamental content quality rather than production volume.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Broad keyword targeting is quietly undermining AI search visibility. Jenna Hannon, founder and CEO of Hatter and former first marketing hire at Uber Eats, has built an AEO agency helping brands get discovered across Google and AI answer engines after advising companies like Multisensor AI, FORM Kitchens, and Kyte as a fractional CMO. She breaks down why keyword specificity now outperforms broad-match traffic grabs, how legacy SEO habits actively hurt AI search performance, and what product marketing rigor brings to building durable AI visibility strategy.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI search visibility now hinges on fundamentals most brands abandoned years ago. Jenna Hannon, founder and CEO of Hatter and former first marketing hire at Uber Eats, built one of the first agencies dedicated to AI search visibility after scaling global growth operations and serving as fractional CMO for companies including Multisensor AI and Kyte. She unpacks why AEO performance is built on foundational SEO discipline rather than a separate playbook, and why treating strategy as an AI-replaceable function misreads what actually drives purchase intent. The conversation centers on using AI to scale execution while keeping human synthesis of customer motivation as the non-negotiable core of the strategy layer.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most SEOs assume AI visibility requires an omnichannel content spread. Jenna Hannon, founder and CEO of Hatter, scaled Uber Eats as one of its first marketing hires and now runs an AI search agency advising fractional CMO clients including Multisensor AI and FORM Kitchens. She outlines how to run an AI visibility audit to benchmark brand and competitor citations across generative engines, exposing which source types actually drive AI answer inclusion. The discussion reframes AEO as an extension of proven SEO fundamentals rather than a separate, channel-hungry discipline.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Only one-third of Google searches now click through to the open web. Jenna Hannon, founder and CEO of Hatter and former product marketing lead at Uber Eats, argues that AEO success depends on marketing fundamentals, not channel-hacking. She and Tyson break down why brand differentiation and positioning outperform multi-channel content sprawl, how AI visibility metrics like citation frequency and sentiment are replacing traditional traffic-based attribution, and why keyword specificity now beats broad-volume targeting in an AI-driven search landscape.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI platforms increasingly reward customer-focused product content over technical specifications. Lucas Tieleman, co-founder and CEO of Optiversal and former Chief Product Officer at Bazaarvoice, has helped enterprise retailers convert static product catalogs into machine-readable content that performs across traditional search and AI-driven discovery. The conversation covers why answer engine optimization depends on strong underlying SEO fundamentals, how AI is reshaping the way brands approach search visibility, and why translating product specifications into customer benefits matters more than increasing content volume.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Volume-based keyword content is quietly undermining search performance. Lucas Tieleman, CEO and co-founder of Optiversal, has helped major enterprise retailers convert static product catalogs into machine-readable content that performs across both search and AI platforms, building on experience as former Chief Product Officer at Bazaarvoice. The conversation breaks down why "sloptimization"—churning out keyword-driven posts without added value—undermines both rankings and revenue, why answer engine optimization depends on strong underlying SEO fundamentals rather than replacing them, and how transforming product data into structured, machine-readable assets drives visibility across traditional and AI-driven search.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Two identical searches now return different results across AI platforms, upending ranking logic.Lucas Tieleman, co-founder and CEO of Optiversal and former Chief Product Officer at Bazaarvoice, helps enterprise retailers convert static product catalogs into machine-readable content optimized for AI-driven discovery. He argues that answer engine optimization depends on strong SEO fundamentals rather than a separate discipline, and that success now hinges on content relevance to individual searchers rather than fixed position rankings. Tieleman outlines how brands can use performance data to validate whether their content actually serves shopper intent, shifting content strategy from volume-based production to measurable relevance.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI Overviews now appear in 40% of Google searches, up from 6% in six months. Lucas Tieleman, co-founder of Optiversal, helps enterprise retailers turn static product catalogs into machine-readable content that performs across Google, ChatGPT, and Google Merchant Center. He breaks down why structured data and clean entity relationships matter more now than five years ago, how to optimize product feeds for AI search's "product graph," and why shifting from "test and learn" to "learn and test" prevents scaling content without scaling value.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI agents still can't replicate implicit, high-frequency human communication around company strategy. Thenuka Karunaratne, founder of sunbeam, the autonomous SEO agent, and daydream, the AI-native SEO agency that identifies search patterns and creates content at scale, breaks down where automation hits its limits. He details how teams can feed agents with call recordings, CRM data, and help desk interactions to approximate customer empathy and product context, while explaining why macro strategy formation still depends on unstructured, high-touch conversations between humans. The discussion frames a practical boundary for enterprise teams building autonomous SEO workflows: where to automate content production and optimization, and where strategic judgment must stay human-led.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI can't fully replace product intuition in SEO. Thenuka Karunaratne, founder of sunbeam and daydream, built an autonomous SEO agent and an AI-native agency to scale content without losing that intuition. He argues product sense is the top skill for modern SEOs: understanding what a product does at a deep level, how customers experience it, and where they struggle. That product-level insight, not just technical execution, is what determines what to communicate to search audiences in an AI-driven landscape.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

73% of organic click-through rate now goes to zero-click AI results. Thenuka Karunaratne, founder of sunbeam (autonomous SEO agent) and daydream (AI-native SEO agency), built systems that identify search patterns and scale content production automatically. He debunks LLMs.txt as a ranking signal, backed by Google's confirmation and cross-organization testing showing no measurable impact on visibility or discoverability. The conversation separates legitimate agentic browsing use cases from unproven geo tactics, offering a framework for evaluating which AI SEO investments actually move search performance.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI agents now autonomously execute full SEO workflows, not just tasks. Thenuka Karunaratne, CEO and co-founder of Sunbeam and Daydream, raised $20M+ building an AI-native SEO agency serving Notion, Replit, and Clay before launching Sunbeam, an autonomous SEO agent that has moved beyond workflow automation. Karunaratne breaks down why proactive "teammate" agents outperform reactive workflow-based tools, how leading indicators shift from indexation to ranking velocity to conversion as agent-driven programs mature, and why domain authority remains resistant to automation while on-site technical and content execution increasingly isn't. The conversation maps how SEO practitioners must shift from tactical execution toward product-fluent strategic oversight as autonomous agents absorb research, technical fixes, and content production at scale.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Click optimization rewards a fundamentally compromised signal. Chester Scott, Chief Strategy Officer at Lunio, dismantles the two metrics most marketing teams treat as North Stars—clicks and ROAS—and explains why blended efficiency numbers disguise where spend actually delivers. He makes the case for marginal ROAS as the discipline that exposes diminishing returns across channels, platforms, campaigns, and creative, and reframes how enterprise teams should allocate budget for overall effectiveness.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Advertisers optimize for metrics that disguise the truth. Chester Scott, Chief Strategy Officer at Lunio, explains why ROAS—the North Star metric for most advertisers—undermines effective spend decisions across channels and campaigns. He makes the case for shifting to marginal ROAS to measure diminishing returns at the channel, platform, audience, and creative level, and reframes clicks as a fundamentally compromised leading indicator that should never drive optimization.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Clicks and ROAS remain the industry's most trusted—and most misleading—metrics. Chester Scott, Chief Strategy Officer at Lunio, explains why the North Star metric guiding most advertisers actually disguises the truth about channel effectiveness. He makes the case for marginal ROAS over aggregate ROAS to expose diminishing returns across platforms, campaigns, and audiences, and reframes clicks as a fundamentally compromised leading indicator rather than a signal of performance.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Click optimization remains fundamentally compromised as a performance marker. Chester Scott, Chief Strategy Officer at Lunio, challenges the metrics most advertisers treat as gospel. He explains why clicks function only as a leading indicator, makes the controversial case against ROAS as a North Star metric, and argues for a shift to marginal ROAS—measuring diminishing returns across channels, platforms, campaigns, audiences, and creative to drive overall effectiveness.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Up to 60% of paid clicks provide zero conversion value. Chester Scott, Chief Strategy Officer at Lunio, explains why clicks and ROAS both distort performance measurement and how they corrupt AI bidding decisions. The conversation covers the shift from ROAS to marginal ROAS as a North Star metric, isolating diminishing returns across channels, platforms, and audiences, and protecting automated bidding models from compromised leading indicators that inflate CAC.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Enterprise retailers index only 40-50% of their product pages. Joe Doran, Chief Product Officer at Botify, breaks down why AI crawlers lag Google by 20 years in crawl efficiency and how JavaScript-heavy PDPs leave bots seeing just 30% of page content. The conversation covers structured product feeds as the new on-page SEO, aligning catalog data with protocols like OpenAI's Agentic Commerce Protocol and Google's Universal Commerce Protocol, and moving beyond organic traffic in isolation toward citation rate, crawl volume, and multi-touch attribution models built for zero-click discovery.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Enterprise retailers index only 40-50% of their product pages. Joe Doran, Chief Product Officer at Botify, breaks down why heavy JavaScript rendering and fragmented product data leave nearly half of retail catalogs invisible to Google and AI crawlers alike. He details the crawl budget compounding effect that shrinks indexation, the confirmation-crawl behavior LLMs use to verify and cite pages, and why structured product feeds—not visible page content—now determine agentic commerce visibility. He also makes the case for rethinking attribution beyond session-based tracking to measure multi-touch contribution across AI search, paid media, and traditional organic channels.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Enterprise retailers index only 40-50% of their product pages. Joe Doran, Chief Product Officer at Botify, explains why exploding product portfolios and JavaScript-heavy PDPs leave nearly half of enterprise catalogs invisible to Googlebot and emerging LLM crawlers alike. The conversation covers crawl budget economics and why JavaScript rendering costs three to five times more than HTML, the gap between what bots render versus what consumers see, and how new protocols like OpenAI's Agentic Commerce Protocol and Google's Universal Commerce Protocol demand structured feed attributes—reviews, dimensions, materials—that fragmented product systems rarely deliver at scale. Doran makes the case that product feeds, not on-page content, will define discoverability over the next two years.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Enterprise retailers index only 40-50% of their product pages. Joe Doran, Chief Product Officer at Botify, breaks down why LLM crawlers—decades behind Googlebot in sophistication—struggle to render JavaScript-heavy PDPs and confirmation-crawl product data before citing it. Learn why product feeds now demand the same scrutiny as on-page SEO, how OpenAI's Agentic Commerce Protocol reshapes structured data requirements, and why citation rate and crawl volume correlations outperform synthetic share-of-voice metrics for measuring AI 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 retailers index only 40-50% of their product pages. Joe Doran, Chief Product Officer at Botify, breaks down why indexation—not content quality or page speed—remains the most overlooked lever for organic revenue in commerce. He covers the compounding cost of JavaScript-heavy PDPs on crawl budget allocation, why LLM confirmation crawls fail to verify unrendered reviews and pricing data, and how serving non-human traffic with the same infrastructure investment as human traffic determines visibility across ChatGPT, Gemini, and Google Shopping.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Enterprise retailers index only 40-50% of their product pages. Joe Doran, Chief Product Officer at Botify, analyzes AI search readiness across retail sites where 9 of 10 products contain three to seven feed errors or missing fields. The conversation covers crawl efficiency and rendering gaps that leave LLM bots seeing just 30-40% of JavaScript-dependent content, structured feed optimization for the Agentic Commerce Protocol and Universal Commerce Protocol, and a shift toward holistic, purchase-anchored attribution over session-based models.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Local pack ads grew from 1% to 22% of tracked searches. Joy Hawkins, owner and president of Sterling Sky, brings nearly two decades studying local results and over 1,000 local SEO tests to explain why traffic and lead quality no longer move together. The conversation covers redefining lead qualification through call tracking and duration thresholds, the growing penalty risk of scaled content and link building for small businesses, and building authority through reviews, awards, and social signals rather than links. Hawkins also makes the data-backed case for YouTube over LLM optimization and the physical location requirements behind local pack visibility.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Local pack ads jumped from 1% to 22% of tracked searches. Joy Hawkins, owner and president of Sterling Sky, brings nearly two decades of local search expertise and over 1,000 documented ranking tests to explain what actually moves the needle as AI reshapes local visibility. The conversation covers non-link authority signals—social UGC, active YouTube channels, Google reviews, and industry awards—that now feed AI-powered local packs, the escalating penalty risk from scaled content and link building following recent core updates, and lead qualification frameworks built on call tracking, response-time automation, and integrated texting to separate real revenue from vanity metrics.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Local pack ads grew from 1% to 22% of tracked searches. Joy Hawkins, owner and president of Sterling Sky, has led over 1,000 local SEO tests across nearly two decades to determine which ranking factors actually drive results for local businesses. This conversation covers why algorithmic domain-wide penalties are now hitting small businesses that scale AI-generated location and model pages, how authority signals for local have shifted toward Google reviews, active social presence, indexed Facebook groups, and third-party awards rather than link building, and why call tracking with recorded calls and integrated texting outperforms traffic metrics for measuring genuine lead quality.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most AI initiatives stall in experimentation mode. Dr. Fern Halper, VP and Senior Research Director for Advanced Analytics at TDWI and founder of the AI Foundations Group, explains why companies remain unprepared for meaningful AI adoption. The conversation examines the foundational systems required to move beyond isolated experiments, the difference between testing for failure and building for scale, and how to convert AI pilots into measurable business value over the next 12 months.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.