Under 50% of web page requests come from humans. Brian Alvey, CTO of WordPress VIP, runs the platform behind NASA, News Corp, Salesforce, and NBC, and previously built more than two dozen CMS platforms, including Weblogs, Inc. (Engadget) and Crowd Fusion (TMZ). He maps media, marketer, and commerce customer journeys to determine whether to open or restrict LLM access, and he covers per-agent access controls that let each organization allow or block specific AI crawlers. He also explains how to structure sites so agents can qualify buyers and surface next-step prompts, why to plan for 100% agentic traffic, and why trusted brand authority outlasts AI-scaled content volume.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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