No separate AI subsites — make content machine-readable

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-explorer
• AlsoAsked: https://alsoasked.com/
• Kelewele recipe: https://www.africanbites.com/kelewele-or-alocospicy-fried-plantains/

Resources:

• https://developers.openai.com/commerce
• https://productfeed.cloud/

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