Shipping Details in Structured Commerce Data: What to Audit

Shipping is part of the purchase decision. When shipping details are available only in a late checkout step or a visual widget, automated systems may have less context about the full offer.

Why this matters

Where your platform supports it, expose accurate shipping information that reflects actual policy logic. The structured representation should not promise a delivery time or rate that the checkout cannot honor.

What to check

• Shipping data reflects real supported destinations
• Rates or free-shipping thresholds are current
• Delivery timing is not hard-coded inaccurately
• Product-level exceptions are represented when necessary

How to improve it

1. Connect structured shipping data to the same policy source used at checkout
2. Update seasonal or promotional shipping rules promptly
3. Document exclusions and special handling
4. Re-scan after policy or carrier configuration changes

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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