Post by Optiversal

Standard (aka missing, incomplete, inconsistent) product feeds are leaving eComm brands completely invisible in the new era of AI-driven search. If you are wondering how to actually fix this data gap, our CEO, Lucas Tieleman, detailed the exact execution strategy during his recent appearance on the The Ecommerce Coffee Break Podcast + Newsletter with Claus Lauter. For brands managing thousands of products, manual catalog updates simply cannot keep up with how fast consumer search behavior is evolving. Here is the framework Lucas shared for regaining visibility: • 𝗧𝗵𝗲 𝟵𝟬% 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗻𝗲𝘀𝘀 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱: And this is a non-negotiable for your holiday prep. An automated data audit identifies exactly where your product feed lacks clarity. By using AI to fill in subjective, natural-language attributes, brands can push their data completeness to the highly effective 85-90% range. • 𝗧𝗵𝗲 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 𝗟𝗼𝗼𝗽: AI models can analyze your entire product catalog to predict all the different ways consumers might search for your items. The system validates these use cases against actual search engine volume, automatically generating and deploying high-converting landing pages. Small catalogs can be optimized manually with basic chatbot prompts. The true competitive advantage applies to brands with 250+ SKUs and over $50M in GMV. At this scale, automated structured data becomes a compounding asset that drives significant incremental traffic. Search optimization consistently rewards brands that provide uniquely helpful content to consumers. Delivering that content in a clean, structured format ensures AI engines recommend your products over the competition. Catch the full conversation to learn how to implement this before the true holiday season hits: https://lnkd.in/e66aWxb4

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