Future-Proofing E-Commerce for AI Search (Product Feeds, Schema, UGC & Agentic Commerce) | Dena Warren

Jack Chambers Ward hosts Search with Candour with guest Dena Warren, SEO Lead at Techquity, to discuss how e-commerce brands can prepare for AI search and LLMs.They cover how the importance of consistent product data across on-site content, feeds, and maximising structured data (product, FAQ, reviews).Dena highlights using user-generated content, avoiding duplicate manufacturer copy, and ensuring key content is visible in HTML rather than hidden behind JavaScript interactions, feed optimisation using OpenAI’s product feed spec, and, of course, scepticism about LLMs.txt.Follow Dena:Techquity: https://www.techquity.co.uk/LinkedIn: https://www.linkedin.com/in/dena-warren-b44106139/Dena’s recommendations:Ahrefs unlinked mentions: https://ahrefs.com/content-explorerAlsoAsked: https://alsoasked.com/Kelewele recipe: https://www.africanbites.com/kelewele-or-alocospicy-fried-plantains/Resources:https://developers.openai.com/commercehttps://productfeed.cloud/Time stamps00:00 Introduction01:39 Meet Dena Warren02:39 Why Clients Ask Now04:38 Avoiding AI Snake Oil06:52 Product Data And Schema10:18 Personalised Comparison Prompts12:13 2026 Ecommerce Essentials15:56 JavaScript And Crawlability17:33 Cloudflare Bots Panic20:54 Feed Specs For AI24:10 Agentic Commerce Readiness26:44 No Separate AI Subsites30:59 Multimodal Images And Video34:06 Shopping In Context35:08 3D And Video Demos36:05 Machine Readable Packaging37:29 SEO Shiny Object Traps38:02 llms.txt Scepticism42:22 Agentic Commerce Reality46:16 Agent Ready Checkout49:43 Small Brands Can Win53:52 Recommendations58:27 Episode Wrap up