Find missing or inconsistent details
Review attributes, units, dimensions, materials, compatibility, and variant information where relevant to the category.
Topic guide
Focus on product data that merchants can inspect and improve: attribute completeness, variant clarity, consistent naming, accurate availability, and useful descriptions. Recommendations should be specific enough to act on and honest about what a merchant can and cannot control.
Request a product auditWhat this topic covers
Review attributes, units, dimensions, materials, compatibility, and variant information where relevant to the category.
Start with gaps that materially affect product understanding instead of optimizing every field equally.
Avoid adding claims that are not supported by the actual product specifications or brand documentation.

Learn how to model sizes, colors, and product options for Shopify Catalog, Google Merchant Center, and direct ChatGPT product feeds without mixing distinct products.

Learn when to customize Shopify Catalog field mapping, how to select the right product and metafield sources, and how to verify the data AI shopping channels receive.

Learn how to interpret AI shopping readiness scores, separate technical access from product understanding and observed recommendations, and build evidence-led audits without false certainty.

Use a four-layer audit to assess AI shopping access, product-data clarity, brand trust signals, and observed recommendations without treating readiness as a ranking guarantee.

Troubleshoot why eligible Shopify products may not appear in ChatGPT Shopping. Separate Catalog eligibility, product data, crawling, shopper intent, and recommendation tests.