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.
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Time stamps
00:00 Introduction
01:39 Meet Dena Warren
02:39 Why Clients Ask Now
04:38 Avoiding AI Snake Oil
06:52 Product Data And Schema
10:18 Personalised Comparison Prompts
12:13 2026 Ecommerce Essentials
15:56 JavaScript And Crawlability
17:33 Cloudflare Bots Panic
20:54 Feed Specs For AI
24:10 Agentic Commerce Readiness
26:44 No Separate AI Subsites
30:59 Multimodal Images And Video
34:06 Shopping In Context
35:08 3D And Video Demos
36:05 Machine Readable Packaging
37:29 SEO Shiny Object Traps
38:02 llms.txt Scepticism
42:22 Agentic Commerce Reality
46:16 Agent Ready Checkout
49:43 Small Brands Can Win
53:52 Recommendations
58:27 Episode Wrap up
