SEO GEO: Turn Your Shopify Product Data into an AI Search Growth Engine with Sam Wright, Blink

Sam Wright is the Managing Director at specialist eCommerce agency Blink, the Shopify marketing agency for large catalogue stores. Sam’s been in SEO since 2007, and in eCommerce since 2002. In this episode, returning guest Sam breaks down how large Shopify brands should be structuring their product data and taxonomy to succeed in both SEO and the fast-evolving world of AI search. He talks about practical fixes that can improve visibility, customer experience, and organic growth — and why getting your data foundations right now will pay off across every channel. Dive in: [05:39] AI Strategies for Shopify Brands [07:51] Store Success Depends on Structure [12:31] Optimizing Shopify Data for AI [16:38] "Shopify's AI-Powered FAQ Tool" [19:44] AI Search and Shopify Shipping [20:44] "AI, Shopping, and SEO Challenges" [22:27] Insider Tips from Sam! Clean, structured product data is now your biggest growth lever AI search and SEO both rely on clear, structured product data. If your data is messy, incomplete, or spread across systems, you will lose visibility. Treat Shopify as your single source of truth. Fill in standard fields like product type, category, materials, and key attributes. Avoid storing important details only in images, PDFs, or documents. Clean data flows into AI tools, Google, ads, and your site, so one fix improves many channels. Go deeper with taxonomy and attributes to win more traffic Basic categories are no longer enough. You need deeper product structure that matches how customers search. Create more specific categories and filters where it makes sense. Then add richer attributes such as size details, materials, ingredients, or performance data. AI tools use this depth to decide which products to show. Better structure also improves on-site navigation and conversion. When customers can find the right product faster, revenue follows. Start preparing for AI now by enriching real customer knowledge AI cannot invent accurate product information if it does not exist. The advantage comes from turning internal knowledge into structured content. Capture insights from customer service, product teams, and suppliers. Turn common questions into FAQs and detailed product information. Add shipping, returns, and usage details in text format, not just policies or images. The brands that document what they know today will be the ones AI recommends tomorrow. Takeaways: Shopify’s secret to success? Turning technical headaches into easy wins for everyone, not just devs – and now, they're doing the same for AI. The future belongs to brands with quality data and clear structures behind the scenes. Want to futureproof your online store for AI search? Start with the basics: organize your product data, nail your taxonomy, and focus on making your brand message portable so it shines through, even when customers never visit your site. Shopify’s new tools make catalog mapping and data plumbing simpler than ever—but it’s what you feed the system that counts. Clean, detailed product info is your edge as AI-driven discovery takes off. Richer, deeper product data isn’t just for better SEO—it powers AI tools, improves UX, and sets your brand apart. If your specs are buried in PDFs or blurry images, now’s the time to transform them into structured, searchable content. This Q4 could be the turning point for AI-driven shopping. The work you put into fixing your taxonomy and data flows now will pay off in organic growth, smoother user journeys, and readiness for whatever AI brings next. Find the notes here: **** Get all the links and resources we mention & join our email list at Love the show? Chloe would love your feedback - leave a review here: or reply to the episode Q&A on Spotify. Interested in being a Sponsor? go here: Advertising Inquiries: Privacy & Opt-Out:

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SEO GEO: Turn Your Shopify Product Data into an AI Search Growth Engine with Sam Wright, Blink is an episode from Keep Optimising by Chloe Thomas.

This episode is 30:27 long.

This episode was published on Mar 11, 2026.

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