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Google: Retailers must clean product data for artificial intelligence

The message appears in the latest Ads Decoded Podcast episode

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by Defused News Writer
Google: Retailers must clean product data for artificial intelligence
Photo by Zulfugar Karimov / Unsplash

Google warns that retailers need to get basic product information right to preserve sales as artificial intelligence reshapes shopping. The company frames the issue around product feeds and how they power new shopping experiences.

The message appears in the latest Ads Decoded Podcast episode, where Ginny Marvin, Ads Product Liaison, spoke with Firas Yaghi, Global Product Lead for Retail Solutions, and Nadja Bissinger, Group Product Director for Retail on YouTube, to discuss retail advertising shifts and practical next steps for merchants.

The episode notes that "AI-driven shopping experiences — conversational shopping in AI Mode, virtual try-ons and shoppable CTV — are powered by the basic product data that you provide to Google, so if your Merchant Center feed is messy or incomplete, customers won’t be able to find your products," the Ads Decoded Podcast said. The line links product discovery directly to feed quality and Merchant Center completeness.

The hosts outline that conversational shopping, virtual try-ons and shoppable connected-TV formats all depend on clean product data. The episode also promises actionable tips to refine retail engines and improve Merchant Center feeds, aiming to help retailers make their products discoverable in AI-enabled surfaces.

The recap

  • Ads Decoded Podcast episode explores AI's impact on retail advertising
  • three Google product leaders participated in the podcast
  • episode offers actionable tips to improve Merchant Center feeds
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by Defused News Writer

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