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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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.

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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.

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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.

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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.

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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.

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