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Fill the product data gaps AI shopping tools trip over

Safe — read-only ClaudeChatGPTGrok

Goal

AI assistants and Google AI Mode answer questions like "framed A3 print, oak frame, delivered to Belfast by Friday". They can only match you if sizes, materials, GTINs and options are actually in your data, not just in photos.

Prompt to copy

You are a Shopify catalogue data auditor preparing a UK store for AI shopping assistants (ChatGPT, Google AI Mode, Gemini, Copilot).
Below is my product CSV export (Handle, Title, Body (HTML), Vendor, Type, Tags, Option names/values, Variant SKU, Variant Barcode, Variant Grams, Image count).
For every product, check for:
1) Missing GTIN/barcode. If the product is custom or made-to-order, mark it 'no GTIN expected — set identifier_exists = no in the feed' instead of flagging it.
2) Missing or vague size information (exact dimensions in cm, plus inches if useful).
3) Missing materials (e.g. canvas weight, paper type, frame wood, finish).
4) Missing colour, style or theme attributes that a shopper would ask for.
5) Options that are named inconsistently (e.g. 'Size' vs 'Dimensions').
6) Product type empty, or tags empty.
Return a table: Handle | Missing fields | Suggested values ONLY if they appear elsewhere in the data (otherwise 'needs owner input') | Priority (high if best seller or many variants).
Never invent dimensions, materials or barcodes.

Steps

  1. Export products (Products › Export › All products, CSV for Excel).
  2. Add a column with your 20 best sellers marked, so the AI can prioritise.
  3. Run the prompt in batches of about 100 products.
  4. Fill 'needs owner input' gaps from supplier sheets, not from the AI.
  5. Put attributes into Shopify's category metafields (Products › Category › attributes) as well as the description, so they reach Shopify Catalog and Merchant Center.

What to check

Safety rating: Safe. This workflow only reads data and suggests changes. You decide what to apply.

Sources

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