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Cluster 2F · the field layer

Product data Shopify says AI platforms read

Shopify's optimizing-for-AI doc names the inputs AI platforms consider — detailed specifications, comparison information, comprehensive descriptions, structured data, sizing guides, material information, care instructions, price, availability, alt text.1 The 2026 reality: product-data hygiene is the AI ranking input. Classical PDP work, with a new exam grader.

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The Shopify list of AI-readable fields

Shopify's optimizing-store-for-ai page lists seven AI-input categories: detailed product specifications and technical details; comparison information with similar products; comprehensive product descriptions with relevant keywords; structured data and product attributes; sizing guides, material information, and care instructions; price, availability, and key features; high-quality images with descriptive alt text. The Catalog-optimization doc adds the structured fields: title, description, images, organization (type, vendor, collections, tags), barcode, variants, external product URL.

Two Shopify pages combined12 define the surface. The first describes the content discipline; the second names the structured PDP fields. Together they form the 2026 product-data spec for Shopify. The articles below break each category into a checklist tuned to the PDP admin surfaces.

The fields Shopify names

7

AI-input categories from Shopify's optimizing-store-for-ai page.

Shopify Help · 2026-05-22
7

structured product fields from the Catalog-optimization doc.

Shopify Help · 2026-05-22
1

field — External product URL — is Agentic-plan stores only.

Shopify Help · 2026-05-22

Titles — clear for humans, detailed for AI

Shopify's instruction has two tracks. For human customers: 'use clear, concise product titles.' For AI: 'ensure your product information is comprehensive' and 'add detailed product specifications and technical details.' The hybrid title pattern that satisfies both: a clear human noun phrase followed by the distinguishing specs that AI agents disambiguate on.

The full titles article walks the pattern with examples. The short version: 'Hoodie' fails both audiences. 'Heavyweight oversize cotton hoodie in stone — unisex, French terry, 350gsm' passes both. The first phrase reads on a collection page; the trailing specs feed the AI agents.

Comprehensive descriptions — five sections

Shopify says product descriptions should be 'comprehensive' with 'relevant keywords' for AI and 'compelling product summaries that highlight key benefits' for humans. A description that hits both has five sections, in order: a benefits-led opening paragraph, a specifications block, a comparison block, a sizing/material/care block, and a use-case or care-routine block.

The pattern is documented across Shopify's optimization page1, the Catalog page2, and the SEO-keywords page that warns against copying manufacturer descriptions verbatim. The descriptions article walks the section-by-section template; the comparison block article covers section three specifically.

Policies — the secondary AI surface

Shopify's Catalog-optimization page calls out store policies separately from product fields: policies should be 'complete and up-to-date' so AI agents reference accurate return and other policy information. The Knowledge Base app auto-pulls policy answers from four settings surfaces — Language, Customer account, Shipping and delivery, Return rules. Fix the underlying policy, and the AI answer updates.

The policy surface2 feeds Knowledge Base's auto-generated FAQs78 and the AI engines directly. The policies article walks the audit pass: open each policy in admin, rewrite for an AI-readable answer (one factual sentence, then conditions), and verify the Knowledge Base auto-FAQ updates.

Sizing, material, and care

Shopify's AI-optimization list explicitly names 'sizing guides, material information, and care instructions.' Those are PDP fields, not metafields by default — Shopify expects them in the description, in collapsible sections, or as page links. The AI engines read whatever's in the page body. The 2026 pattern: a structured sizing block, a structured materials block, a structured care block — all parseable, none hidden behind JavaScript-rendered accordions.

The sizing article walks the structured pattern and how to render the blocks so AI crawlers can parse them. The blockers are usually theme-side: tab components that hide content under JavaScript, custom blocks that render server-side only after a click. AI crawlers fetch the rendered HTML once; if the content isn't in the initial response, it isn't in the AI's index.

The 5 articles under this cluster

Five articles cover the five PDP categories Shopify names. Titles, descriptions, comparison blocks, policies, and sizing/material/care. Together they form the rewrite checklist for the Catalog Readiness install.

  1. HOW-TO Shopify product titles for AI Product titles that AI agents understand The structure Shopify recommends: 'clear, concise' for humans, 'detailed specifications' for AI. The hybrid title pattern that hits both. 9-min read
  2. HOW-TO Shopify product descriptions for AI Comprehensive descriptions: specs, comparisons, materials, care Shopify's verbatim instruction: 'ensure your product information is comprehensive.' The five sections every PDP description should carry. 10-min read
  3. REFERENCE Shopify PDP comparison blocks Comparison blocks lower on the PDP Shopify lists 'comparison information with similar products' as an AI-input field. Where it lives on the PDP and how to write it without breaking conversion. 8-min read
  4. HOW-TO Shopify store policies for AI Store policies as AI training data Shopify says policies must be 'complete and up-to-date' so AI agents reference accurate return and shipping info. The audit pass for each policy. 8-min read
  5. HOW-TO Shopify sizing materials care Sizing, materials, and care fields Shopify's optimization list calls out 'sizing guides, material information, and care instructions' as AI-readable fields. Where to put them on Shopify. 8-min read