Creator consistency separates thriving channels from abandoned ones. Tasia Custode, founder and CEO of Brio Media, breaks down why sustainable content strategy starts with genuine passion rather than prescribed niches. She unpacks the discipline required to sustain publishing consistency over time and explains why authentic, interest-driven topic selection outperforms formulaic channel planning.

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The transcript provided only contains the opening icebreaker exchange (Jordan asking about a discontinued Google product, Tasia answering "Google Reader") — it cuts off before any actual SEO discussion begins. There's no content here about challenges, strategies, frameworks, or results tied to Tasia's work at Brio Media.

Since the instructions explicitly say not to assume what the conversation was about, I can't responsibly fabricate the "data-driven challenge," "proven results," or "frameworks/strategies discussed" the task requires — none of that appears in the excerpt.

Could you share the rest of the transcript (or at least the portion covering the substantive SEO discussion), or provide the guest bio / company description? Any of those would give me the real content needed to write an accurate description.

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Content teams lose brand voice consistency across collaborative drafts. Tasia Custode, founder and CEO of Brio Media, breaks down an underused capability inside Google Workspace for enterprise content teams. She details Gemini's Refine feature in Google Docs, showing how to highlight a collaborator's edit and match it to brand voice or personal style with one click. She also outlines using the same feature to rewrite underperforming copy on demand, streamlining editorial consistency across team-authored content.

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YouTube view-to-subscriber ratios are declining as AI search expands into video. Tasia Custode, Founder and CEO of Brio Media, has published content weekly since 2020, building sustained audience growth by prioritizing helpfulness over virality. The conversation examines agentic search's shift from information retrieval to task completion, the monetization and attribution risks AI-generated summaries pose to creator watch time and citation value, and a performance framework built on click-through rate, retention data, and brand partnership signals rather than vanity metrics.

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Most AEO strategies fail without strong SEO fundamentals in place. Jenna Hannon, founder and CEO of Hatter and former early marketing hire at Uber Eats, has built an AI search agency helping brands establish visibility across Google and AI-generated answers. The conversation covers positioning exercises as the foundation for AI search strategy, message consistency frameworks drawn from product marketing discipline, and execution models for maintaining brand coherence across traditional and AI-driven search surfaces.

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Programmatic AI content strategies are already failing marketers. Jenna Hannon, founder and CEO of Hatter and former first marketing hire at Uber Eats, built one of the first agencies dedicated to AI search visibility after watching volume-based, programmatic page tactics spike and then crash. She breaks down why classic SEO shortcuts—keyword stuffing and arbitrary content length—collapse under AI search evaluation, and why answer engine optimization depends on stronger fundamental content quality rather than production volume.

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Broad keyword targeting is quietly undermining AI search visibility. Jenna Hannon, founder and CEO of Hatter and former first marketing hire at Uber Eats, has built an AEO agency helping brands get discovered across Google and AI answer engines after advising companies like Multisensor AI, FORM Kitchens, and Kyte as a fractional CMO. She breaks down why keyword specificity now outperforms broad-match traffic grabs, how legacy SEO habits actively hurt AI search performance, and what product marketing rigor brings to building durable AI visibility strategy.

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AI search visibility now hinges on fundamentals most brands abandoned years ago. Jenna Hannon, founder and CEO of Hatter and former first marketing hire at Uber Eats, built one of the first agencies dedicated to AI search visibility after scaling global growth operations and serving as fractional CMO for companies including Multisensor AI and Kyte. She unpacks why AEO performance is built on foundational SEO discipline rather than a separate playbook, and why treating strategy as an AI-replaceable function misreads what actually drives purchase intent. The conversation centers on using AI to scale execution while keeping human synthesis of customer motivation as the non-negotiable core of the strategy layer.

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Most SEOs assume AI visibility requires an omnichannel content spread. Jenna Hannon, founder and CEO of Hatter, scaled Uber Eats as one of its first marketing hires and now runs an AI search agency advising fractional CMO clients including Multisensor AI and FORM Kitchens. She outlines how to run an AI visibility audit to benchmark brand and competitor citations across generative engines, exposing which source types actually drive AI answer inclusion. The discussion reframes AEO as an extension of proven SEO fundamentals rather than a separate, channel-hungry discipline.

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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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