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

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.

Most enterprises remain stuck in AI 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 still aren't ready for scaled AI adoption. She outlines the foundational data and governance systems required to move beyond isolated pilots, the shift from experimentation to operational value, and a 12-month prioritization framework for turning AI experiments into measurable business impact.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most companies mistake buying AI tools for AI readiness. Dr. Fern Halper, VP and Senior Research Director for Advanced Analytics at TDWI and founder of the AI Foundations Group, explains why AI adoption fails at scale without the right systematic foundations. The conversation covers the organizational systems missing from most AI initiatives, the distinction between deploying tools and building AI as a repeatable capability, and why original thought grows more valuable as AI-generated content saturates the market.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 organizations struggle to convert AI pilots into measurable business value. The conversation covers the foundational systems required to operationalize AI beyond experimentation, the organizational readiness gaps that undermine adoption, and how to prioritize a single high-impact focus over the next 12 months to move from testing to results.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI content has collapsed the distance between bad and passable. David Ebner, President and founder of Content Workshop and Chatter AI, brings 13 years of enterprise content experience and a classically trained storytelling background to explain why differentiation now determines who wins. The conversation covers a brand story framework that positions the audience as hero rather than the founder, strategic placement of human creativity across the content workflow instead of relegating it to a final QA gate, and a content ideation model that surfaces real-time, relevance-driven topics to build audience trust—particularly in high-scrutiny YMYL verticals like cybersecurity.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Informational content is being absorbed by AI Overviews, leaving brands to compete on differentiation. David Ebner, President and Founder of Content Workshop and Chatter, draws on 13 years of content production for enterprise and cybersecurity clients to explain why brand storytelling now determines competitive advantage. He reframes brand story around audience transformation rather than founder origins, maps human creativity as a variable insertion point across the production workflow rather than a final approval gate, and outlines a trust-building content model that shifts from gated informational assets toward educational content aligned with real-time audience signals.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI content collapses the gap between passable and genuinely valuable. David Ebner, President and Founder of Content Workshop and Chatter, applies 13 years of enterprise brand storytelling across scrutinized YMYL verticals like cybersecurity to help teams differentiate at scale. The conversation covers building brand story around audience outcomes rather than founder origins, positioning human creativity as a deployable agent at multiple process gates instead of a single QA checkpoint, and shifting measurement away from sales-qualified leads toward trust-driven signals as traditional attribution paths fragment.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI-driven content decisions increasingly prioritize efficiency over values. David Ebner, founder of Content Workshop, examines why brands cutting teams for "AI efficiency" undermine the very productivity gains they claim to pursue. The conversation covers developing a defensible brand point of view, distinguishing values-aligned decisions from purely cost-driven ones, and reframing AI as a multiplier that scales human capacity rather than replaces it.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Content Workshop is a content marketing agency that helps organizations demonstrate their expertise and rise in the SERPs. We do this through brand storytelling across all formats - ebooks, reports, web pages, videos, explainers… anything that carries your story to your audience.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI content collapses the gap between passable and good. David Ebner, President and Founder of Content Workshop and Chatter, brings 13 years of enterprise content strategy across high-stakes verticals like cybersecurity to explain why brand storytelling now separates differentiated brands from homogenized AI output. Learn how to define brand story as audience transformation rather than origin narrative, where to insert human creativity as discrete process gates rather than a single QA checkpoint, and how to structure through-line messaging across multiple buyer Personas in complex enterprise decision trees. Ebner also unpacks why trust—not sales-qualified leads—should anchor content measurement as recency-driven LLM experiences reward brands publishing against real-time audience relevance.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Speaker representation remains a persistent gap in search industry events. Sophie Logan, Community and Editorial Manager at Brighton and HERO Conference, curates event agendas and identifies a critical supply-side problem: qualified female and non-binary practitioners aren't pitching to speak. She examines how conference agendas depend on inbound speaker pitches, why the visibility gap extends across stages, LinkedIn, and industry blogs, and what expanding representation could look like heading into 2026 and beyond.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Community involvement remains an underleveraged career accelerator for SEOs. Sophie Logan, Community and Editorial Manager at BrightonSEO and Hero Conference, shares how practitioners can build visibility and authority through conference participation. The conversation covers positioning speaker submissions for 2026 selection, integrating AI as a discussion layer rather than a standalone topic, and structuring editorial contributions to expand professional reach across the search community.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most conference attendees leave without a clear takeaway plan. Sophie Logan, Community and Editorial Manager at Brighton and Hero Conference, shares how first-time attendees can structure their approach for maximum value. Learn how to build a session-mapping strategy against the agenda, prioritize panels and topics aligned to your objectives, and schedule deliberate breaks to sustain focus and retention across a full conference day.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Conference programming faces AI-topic saturation heading into 2026. Sophie Logan, Community and Editorial Manager at Brighton SEO and Hero Conference, brings a front-row perspective on what practitioners actually want from session content. Learn why standalone AI talks are losing relevance, how to integrate AI naturally across broader strategic discussions, and what conference attendees are signaling about the maturation of AI in search.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Industry connection drives measurable career and skill growth. Sophie Logan of Rough Agenda brings hands-on experience organizing SEO conferences and building practitioner communities that translate networking into professional advancement. The conversation covers strategic frameworks for maximizing conference ROI—including agenda prioritization and session mapping—alongside practical approaches to structuring event time for both learning and sustainable engagement.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI adoption is reshaping how SEO professionals learn and connect. Sophie Logan of Rough Agenda brings deep expertise in building search communities and orchestrating industry events that drive real practitioner value. The conversation covers structuring conference attendance for maximum ROI, from agenda mapping and session prioritization to strategic networking, and why in-person community connection becomes more critical as AI transforms the search landscape.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Agent adoption is outpacing governance frameworks across search. Danny Goodwin, Editorial Director of Search Engine Land and SMX, brings editorial oversight spanning SEO, PPC, and AI search to the question of how marketers should manage autonomous agents. The conversation examines treating agents as proxies for human intent rather than standalone technology, separating genuine capability from current overhype, and why slow industry adoption creates both risk and competitive opportunity.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Agentic AI is reshaping how search marketing work gets executed. Danny Goodwin, Editorial Director of Search Engine Land and SMX, shapes editorial coverage and conference programming across SEO, PPC, and AI search at one of the industry's leading search marketing platforms. Goodwin frames AI agents as proxies that act on a person's behalf, requiring governance approaches that treat them as accountable extensions of marketing teams rather than autonomous tools. He also separates genuine agentic capability from current market overhype, offering a measured view on what actually threatens Google's position—and what doesn't.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI search hype outpaces measurable disruption to Google's dominance. Danny Goodwin, Editorial Director of Search Engine Land and SMX, draws on his oversight of editorial coverage spanning SEO, PPC, and AI search to separate signal from noise in the future of search. The conversation examines AI agents as proxy actors operating on behalf of users, the governance frameworks required to manage agentic search behavior, and why the industry's slow adoption cycles create both risk and strategic opportunity for enterprise practitioners.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 generating significant industry hype, but Google isn't going anywhere. Danny Goodwin, Editorial Director of Search Engine Land and SMX, draws on his oversight of editorial coverage across SEO, PPC, and AI search to separate signal from noise in the future-of-search conversation. He reframes AI agents as functional extensions of human intent rather than autonomous replacements, examines the governance questions enterprise teams face as agents take over multi-step workflows, and addresses why the search industry's tendency toward slow adoption creates both risk and opportunity.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most SEOs never apply their expertise to their own brand. Paul Andre de Vera, founder of Answer Engine Optimization, shares the career-rebuilding strategy he'd execute if starting from zero today. The conversation covers self-application of SEO skill sets as a competitive differentiator, ranking for your own name to validate expertise, and recognizing entrepreneurial opportunities in search software before the market matures.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Building a personal brand in SEO doesn't require a massive following. Paul Andre de Vera, founder of Answer Engine Optimization and a 15-year enterprise SEO veteran from Workday, Stripe, and Anaplan, shares how he ranked a prospective employer #1 for a target term in 24 hours to land contract work during a two-year unemployment stint. The conversation covers applying SEO skills to your own name for searchability, refreshing existing content with declarative subheadings and quick facts to win in both LLMs and traditional SERPs, and shifting reporting away from traffic toward a durable metrics stack as AI reshapes search.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Content freshness now outranks new content production for AI visibility. Paul Andre de Vera, founder of Answer Engine Optimization and a 15-year enterprise SEO veteran behind growth at Workday, Stripe, and Anaplan, shares how he ranked a company number one for a target term within 24 hours. The conversation covers building a metric stack beyond traffic to insulate reporting from AI Overview erosion, restructuring existing content with declarative subheadings and quick-fact modules to win across both LLMs and traditional SERPs, and applying SEO discipline to personal brand visibility as a career differentiator.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Organic traffic is collapsing as AI answers replace clicks. Paul Andre de Vera, founder of Answer Engine Optimization and a 15-year enterprise SEO leader behind growth at Workday, Stripe, and Anaplan, explains why traffic should no longer anchor your reporting and what to track instead. The conversation covers building a metrics stack around indexation, crawlability, and impressions rather than subjective ranking visibility; executing content refreshes that restructure pages with declarative subheadings and quick-fact blocks to win in both LLMs and traditional SERPs; and applying T-shaped, search-everywhere skills across social, video, and Reddit to match how AI surfaces sources.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI search now pulls from every channel, not just web pages. Paul Andre de Vera, founder of Answer Engine Optimization and a 15-year enterprise SEO leader who drove growth at Workday, Stripe, and Anaplan, explains why the T-shaped marketer has become the industry's most valuable profile. The conversation covers building a metric stack that moves beyond traffic dependence, executing content refreshes structured for both traditional rankings and LLM extraction through declarative subheadings and quick facts, and applying your own SEO skill set to personal brand visibility as a career differentiator.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.