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

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.
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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.
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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.
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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.
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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.
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