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Will using AI to automatically generate schema markup at scale be a trend or trash?

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Manage episode 489664917 series 2427082
Content provided by I Hear Everything. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by I Hear Everything or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Is AI-generated schema markup at scale effective? Martha van Berkel, CEO of Schema App, explains why automated schema generation falls short of understanding business nuances and human search intent. She argues that while AI can create basic drafts, it cannot properly define the complex relationships needed for a complete knowledge graph, requiring human expertise to craft meaningful schema that truly represents business data models.

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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1584 episodes

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iconShare
 
Manage episode 489664917 series 2427082
Content provided by I Hear Everything. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by I Hear Everything or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Is AI-generated schema markup at scale effective? Martha van Berkel, CEO of Schema App, explains why automated schema generation falls short of understanding business nuances and human search intent. She argues that while AI can create basic drafts, it cannot properly define the complex relationships needed for a complete knowledge graph, requiring human expertise to craft meaningful schema that truly represents business data models.

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

  continue reading

1584 episodes

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