SKU, GTIN and MPN: Ecommerce Identifier Audit Guide

Identifiers help commerce systems distinguish products and variants. They are useful only when they refer to the real item. Internal SKU, GTIN and manufacturer part number serve different purposes and should not be substituted casually.

Why this matters

An audit should detect whether legitimate identifiers are exposed, but it should never recommend fabricating a barcode or MPN merely to improve a score. Some products genuinely do not have every identifier type.

What to check

• SKU maps to the correct product or variant
• GTIN is present when the product legitimately has one
• MPN is used only when supplied by the manufacturer
• Identifier values are consistent across product data sources

How to improve it

1. Populate identifiers from authoritative catalog records
2. Keep variant-specific identifiers attached to the right variant
3. Remove placeholder values and duplicated barcodes
4. Document product classes that legitimately lack global identifiers

How AI SHOP CHECK approaches the audit

AI SHOP CHECK samples representative product pages, evaluates a fixed set of machine-readable commerce signals and aggregates repeated gaps into a store-wide report. The scan is designed to make remediation easier: you can see the overall score, the percentage of sampled products missing a signal, individual product scores and a short prioritized action plan.

The score is an independent readiness metric. It is not issued by OpenAI, Google, Shopify or another shopping platform, and it does not guarantee inclusion, ranking, traffic or recommendation. Use official platform documentation for channel-specific eligibility and feed requirements.

Use the result as a baseline

Save a scan before changing your theme, structured data, catalog import or policy configuration. Re-scan after the change and compare the result. For stores that change frequently, recurring monitoring can help surface score drops that deserve investigation.

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