Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast Podcast Por I Hear Everything arte de portada

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

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

De: I Hear Everything
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Dive deep into the ever-changing world of content and search engine marketing. Discover actionable strategies and learn ways to gain insights through data that will help you navigate the topsy-turvy world of SEO.

Economía Marketing Marketing y Ventas
Episodios
  • Investing in comprehensive data clean up vs AI content expansion for AI rankings
    Jun 21 2025

    When resources are limited, SEO teams face tough investment choices. Martha van Berkel, CEO of Schema App, advocates prioritizing comprehensive data cleanup before AI content expansion. She explains that websites often contain irrelevant content that dilutes authority, making cleanup essential for establishing a baseline before strategic expansion. Martha recommends following cleanup with targeted investment in high-quality, knowledge-rich content that serves both generative AI and human users effectively.

    See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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    3 m
  • One word that describes the current state of search in the GenAI era
    Jun 20 2025

    In the GenAI era, search is "behind" according to industry experts. Martha van Berkel, CEO of Schema App, explains why most SEOs remain too tactical rather than strategic in their approach to AI-driven search. She advocates for cross-functional collaboration, executive education about zero-click searches, and structured data implementation to bridge the gap between traditional SEO metrics and the new search landscape.

    See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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    5 m
  • Why LLMs Fail (and why AI alignment is needed)
    Jun 20 2025

    LLMs fail because they're prediction machines, not fact machines. Michelle Robbins, Manager of Strategic Initiatives and Intelligence at LinkedIn, explains why AI models produce inconsistent responses and require critical evaluation. She advocates treating LLMs as thought partners rather than absolute authorities, emphasizing the critical importance of AI alignment to prevent harmful outputs and ensure optimal human outcomes as we progress toward artificial general intelligence.

    See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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    22 m
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