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

Is working in-house or at an agency the better career move for SEO professionals in today's rapidly changing search landscape? The answer might surprise you.

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

SEO job postings aren't shrinking; they're being retitled and redistributed. Tyson Stockton is COO and Co-Founder of Previsible, an AI discovery agency serving enterprise teams, and a former VP of Client Services at Searchmetrics who has hired roughly 80 SEOs and led Previsible's 2025 SEO job study. He covers repositioning legacy SEO experience for AEO and GEO roles, including crawl log analysis across multiple AI bots, experimentation, content chunking, query fan-outs, and off-page citations. He also outlines how to report on business KPIs rather than leading indicators when AI search attribution is limited, and how to screen candidates for adaptability.

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

Four acronyms now compete to define search: GEO, SEO, AEO and LLMO. Jordan Koene is CEO and Co-Founder of Previsible, the AI discovery agency he founded in 2020. He previously served as CEO of Searchmetrics Inc. and Head of SEO and Content Development at eBay. He explains why Previsible positions around "AI Discovery" instead of committing to a single acronym while the discipline's boundaries are still being defined. The conversation covers category-level positioning for an agency in an unsettled market and leadership through ongoing change in AI search.

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

Over 1,900 episodes have turned search conversations into compounding practitioner knowledge. Jordan Koene, CEO and Co-Founder of Previsible, the AI discovery agency serving enterprise teams, previously led Searchmetrics Inc. as CEO and ran SEO and content development at eBay. The conversation covers leading through AI search and treating every practitioner exchange as a source of strategic learning.

Note: the transcript excerpt is a single comment from the producer and contains no discussion of specific frameworks or strategies, so I listed none rather than invent them. Send the full transcript if you want a version with 2-3 named frameworks.

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

The transcript only covers the opening "perfect day" question, where Jordan talks about baseball with friends and family. It has no SEO data, frameworks, or strategies, so I can't write the data-driven opener or the framework sentences without inventing them. Here is a description limited to what the transcript and bio support:

Jordan Koene is CEO and Co-Founder of Previsible, the AI discovery agency he launched in 2020 with Tyson Stockton and David Bell. He previously served as CEO of Searchmetrics Inc. and Head of SEO and Content Development at eBay. This opening segment covers his background and how he spends a perfect day, from the baseball field with friends and family.

If you send the rest of the transcript, covering the "Leading Through AI Search" discussion, I'll write the full version with the data-led opener and the specific frameworks.

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

Organic traffic down 30% while revenue holds flat points to an attribution problem, not a visibility problem. Jordan Koene, CEO and Co-Founder of Previsible, former CEO of Searchmetrics Inc. and former Head of SEO and Content Development at eBay, advises nearly 100 enterprise clients through the shift to AI discovery. He outlines why synthetic prompt-based visibility scores should give way to lagging KPIs such as revenue, conversion, and product-category attribution, with first-party revenue, sales, and signup tables as the source of truth for what drives brand selection. He also covers a brand-asset hygiene framework (help centers, pricing, and about pages, plus review volume and freshness, citation coverage, and backlink freshness) and a "follow the money" budget approach that keeps Google as the core channel while funding ChatGPT citation work.

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 can turn first-party data into better search results.

Venkata Pagadala is AI Product Manager for Search at AT&T, where he works on agentic AI for enterprise SEO.

The conversation covers how enterprise teams use their own data to build a deeper understanding of consumers, and how vibe coding fits into that workflow.

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

Paywalled education filters out talent before hiring begins. Venkata Pagadala, AI Product Manager for Search at AT&T, argues that financial barriers to learning hide capable candidates from employers. He defines work as a profit-sharing exchange of human time and skills, and education as a separate good that money should not restrict. He makes the case for open-access education as a talent-sourcing strategy, because a public knowledge base widens the candidate pool and lets business owners hire the right person.

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

Teams solve classification problems manually, then repeat the same work. Venkata Pagadala, AI Product Manager for Search at AT&T, builds agentic AI systems for enterprise SEO. He covers documenting each solved problem in structured systems such as Obsidian or Notion, so AI agents can run the next classification. He also covers turning a manual solution into a repeatable system as soon as the problem is solved, and using voice input like Whisper Flow, since people speak about twice as fast as they type.

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

SEO, AEO, and GEO now compete as labels for the same enterprise discipline. Venkata Pagadala, AI Product Manager for Search at AT&T, leads agentic AI work for enterprise search. The conversation covers turning first-party data into deeper consumer understanding, applying agentic AI to enterprise SEO workflows, and treating search as the core discipline with AEO and GEO as facets of it.

*Note: the transcript provided covers only the opening exchange. It has no statistics, results, or detailed frameworks, so I left them out rather than invent them. Share the full transcript if you want specific metrics and strategies added.*

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

Agentic AI workflows fail without classified first-party data. Venkata Pagadala, AI Product Manager for Search at AT&T, classified 5.8 million queries, removed 3 million noise queries, and uses the resulting persona-based insights to build mockups that win leadership buy-in. He outlines a competitor-navigation and Wikipedia-driven L1/L2/L3 taxonomy that surfaces zero-search-volume, high-intent demand from Reddit, Quora, and YouTube, plus a UGC-based research framework that treats reviews, ratings, and brand response rates as primary inputs. He also covers persona-based query fan-outs as a replacement for single-prompt tracking, and documentation systems that let AI agents repeat classification at scale.

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

Google confirmed the August 26 spam update. Kaspar Szymanski, Senior Director at SearchBrothers.com, is a former senior member of Google's Search team with hands-on webspam enforcement experience, and he now leads penalty recovery for businesses. His first immediate step for impacted sites is to save and preserve server logs. Logs show how bots interact with the site, and on large sites with high landing page volume they become a critical diagnostic asset, though they do not replace the instant analysis the update demands.

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

Every rejected reconsideration request raises the recovery bar.

Kaspar Szymanski, Senior Director at SearchBrothers and former senior member of the Google Search team, brings hands-on experience in search policy and webspam enforcement. He now leads penalty recovery for businesses.

He explains why submitting a reconsideration request before diagnosing the root issue is the most common and costly mistake. Each rejection erodes trust on the permanent record, so the next request needs far more remediation to succeed.

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

Google Search Console gives no clear-cut warning of an impending manual action. Kaspar Szymanski, Senior Director at SearchBrothers and former senior member of Google's Search team with hands-on webspam enforcement experience, now helps businesses recover from Google penalties. He explains why increased crawler activity in specific site sections is the only potential warning sign, and why it produces many false positives. He also covers how to separate real risk from benign causes such as new external references, internal linking changes, and trending query demand.

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

AI-generated content at scale can trigger Google penalties.

Kaspar Szymanski, Senior Director at SearchBrothers.com and former senior member of Google's Search team with hands-on webspam enforcement experience, helps businesses recover from Google penalties. He explains why human oversight, a defined editorial process, and quality assurance determine whether AI-assisted content creates penalty risk. He also covers building content for users rather than for Googlebot as the standard for scaled production.

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

Google's August 2026 Spam Update is being misread as an AI penalty. Kaspar Szymanski, Senior Director at SearchBrothers.com and a former senior member of the Google Search team, brings hands-on experience in search policy and webspam enforcement. He explains why sites using AI are being affected without production method being the trigger: Google flags low-quality sites based on the quality of their output. The discussion separates how content is produced from how it is evaluated.

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

Spam updates and manual actions are hitting sites simultaneously. Kaspar Szymanski, Senior Director at SearchBrothers and former senior member of Google's Search team, has led penalty recoveries for businesses where visibility dropped abruptly and has hands-on experience in webspam enforcement. He outlines a post-update investigation sequence: Search Console manual action check, long-term server log retention, multi-crawler audits, and a holistic review of technical, content, and off-page signals. He also covers the case against sitting out a penalty, the risk of premature reconsideration requests, and penalty-proofing through human QA oversight on AI content, Bing and brand diversification, and annual policy compliance audits.

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

Organizational silos remain the top barrier to AI search success. Siiri Lee, Senior Director of Global Direct-to-Consumer at MANSCAPED, brings over two decades of experience scaling DTC and omnichannel ecommerce operations to the conversation. The discussion covers reframing AI-driven search as a cross-functional organizational mandate rather than a single-department initiative, aligning GEO and AEO workstreams across traditional SEO team boundaries, and restructuring internal processes to match the pace at which search behavior is evolving.

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

Off-site signals now outweigh on-site control in AI search. Siiri Lee, Senior Director of Global Direct-to-Consumer at MANSCAPED, brings two decades of experience scaling DTC and omnichannel ecommerce through conversion optimization, personalization, retention, and loyalty programs. She breaks down why on-site levers remain the most controllable investment even as off-site signals gain weight, and outlines a framework for aligning previously siloed teams around one holistic narrative and shared discovery objectives. The conversation frames cross-functional alignment, not channel-specific tactics, as the foundation for scaling AI 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 is changing the way people discover information online—and SEO is no longer the responsibility of just one team. This episode explores the future of search, including AEO and GEO, and how businesses can adapt to AI-driven discovery.

The conversation dives into decentralized SEO ownership, cross-functional collaboration, agency partnerships, and the importance of building strong relationships across marketing, PR, engineering, content, and other teams. Discover practical insights on how organizations can move faster, make smarter decisions, and stay ahead as the search landscape continues to evolve.

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