Machine Experience (MX) Compliance | IFG eCommerce

Machine Experience (MX): making a Shopify store AI-readable

Last updated: 2026

More and more users are directly asking ChatGPT, Claude, Perplexity, or Google AI Overviews to recommend a product or service, instead of searching on Google. For an AI answer engine to correctly read, understand, and cite a Shopify store, the site must be structured in a certain way — it's not enough for it to just be beautiful or fast.

What "AI-ready" means in practice

An AI-readable site has these verifiable technical characteristics:

  • Structured data (JSON-LD) consistent across all pages, without contradictions between entities.
  • Clean HTML code, without hidden or duplicated content that could confuse extraction systems.
  • No blocking of AI crawlers in the robots.txt file (unlike many sites that, in 2023, mistakenly blocked all bots, including those indexing for citation, not just for training).
  • Real and verifiable content, not optimized with inflated claims that an automatic fact-checking system would discard.

How I apply this to the projects I manage

When I work on a Shopify store — whether my own or a client's — I systematically check these points: the structure of the JSON-LD graph (Person, Organization, ProfessionalService, WebSite linked together by IDs), the cleanliness of the template source code, and the consistency between what the site declares on one page and what it declares elsewhere.

This very site is built following these principles — you can verify it yourself by inspecting the source code or the structured data of any page.

Technical documentation

This store's llms.txt file is automatically generated by the Shopify platform for shopping agents (Shop Pay, assisted checkout). For information about my professional profile, the reference page is About Me.