One AI search trend retailers are overreacting to

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• Part 1How AI Search Is Reshaping Retail Media and Discovery

  Enterprise retailers index only 40-50% of their product pages. Joe Doran, Chief Product Officer at Botify, analyzes AI search readiness across retail sites where 9 of 10 products contain three to seven feed errors or missing fields. The conversation covers crawl efficiency and rendering gaps that leave LLM bots seeing just 30-40% of JavaScript-dependent content, structured feed optimization for the Agentic Commerce Protocol and Universal Commerce Protocol, and a shift toward holistic, purchase-anchored attribution over session-based models.

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• Part 2The most overrated ecommerce SEO metric today

  Enterprise retailers index only 40-50% of their product pages. Joe Doran, Chief Product Officer at Botify, breaks down why indexation—not content quality or page speed—remains the most overlooked lever for organic revenue in commerce. He covers the compounding cost of JavaScript-heavy PDPs on crawl budget allocation, why LLM confirmation crawls fail to verify unrendered reviews and pricing data, and how serving non-human traffic with the same infrastructure investment as human traffic determines visibility across ChatGPT, Gemini, and Google Shopping.

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  Part 3One AI search trend retailers are overreacting to

  Enterprise retailers index only 40-50% of their product pages. Joe Doran, Chief Product Officer at Botify, breaks down why LLM crawlers—decades behind Googlebot in sophistication—struggle to render JavaScript-heavy PDPs and confirmation-crawl product data before citing it. Learn why product feeds now demand the same scrutiny as on-page SEO, how OpenAI's Agentic Commerce Protocol reshapes structured data requirements, and why citation rate and crawl volume correlations outperform synthetic share-of-voice metrics for measuring AI search visibility.