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

Latest Episodes:

How Can Search Leaders Turn Practitioner Insights into Strategic Learning? Oct 28, 2026

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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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What Does a Perfect Day Look Like? Oct 27, 2026

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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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How Should Search Leaders Navigate the AI Shift? Oct 26, 2026

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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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Education vs work Oct 22, 2026

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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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Late night vibe coding? Oct 22, 2026

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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.

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The most underrated piece in your AI tech stack Oct 21, 2026

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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.

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Are you calling it SEO, AEO, or GEO? Oct 20, 2026

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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.*

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Building AI Agents That Actually Work for Enterprise SEO Oct 19, 2026

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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.

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If a site was negatively impacted from the Google August 26 Spam update what should they start doing immediately? Oct 17, 2026

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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.

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What's the biggest mistake companies make when submitting a Google reconsideration request? Oct 16, 2026

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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.

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