Checking one product? Use the free Product Schema Checker to review brand, GTIN/MPN, price and availability in Product JSON-LD.
Before you request a Shopify product data assessment
Use this checklist when you need to investigate inconsistent product information, prioritize catalog repairs or review product evidence before a channel launch. Start your inquiry with the store URL, approximate product and variant count, affected channel and the outcome you need.
Include 1–3 public product URLs if available. For a mismatch, note the selected variant, currency, observed price or availability and time checked. You can ask for scope guidance even if you have not identified the cause.
Match the assessment scope to your catalog
The free scan checks three public product pages; it cannot establish consistency across your entire catalog or inspect private channel settings. Review the sample report and published assessment scope before deciding whether the sample fits your question. In your brief, distinguish diagnosis from implementation and identify who will apply and recheck repairs.
Ask about your Shopify audit scope
What to include in a Shopify product data audit
A Shopify product data audit checks whether each product’s details are complete and consistent on its storefront page and in the sales channels that use its catalog. It is a practical technical checklist; it does not guarantee search ranking, AI recommendations, or sales.
1. Check product identity and variants
Review titles, vendor, product type, SKU and barcode where applicable. For products with options, make sure each variant has its own accurate price, availability, image and identifier. Confirm that selecting a variant updates the visible product details, canonical URL behavior, and any structured data that the theme outputs.
2. Review category, metafields and visible content
Use Shopify’s standard product taxonomy where a relevant category exists, then review category metafields and any custom metafields used for product-specific facts. Make sure important details are actually visible to shoppers on the product page; storing a metafield in Shopify does not automatically mean a theme displays it. Shopify’s product details guide explains product details and taxonomy, while its metafield display guide covers storefront use.
3. Compare the storefront with product feeds
For each sampled product and variant, compare the page’s price, currency, sale price, inventory status, shipping facts and product identifiers with the feed used by each channel. Check that the feed points to the correct product or variant URL and that a feed refresh does not overwrite more accurate storefront data.
4. Validate structured data against the page
Inspect the rendered page for Product and Offer data, including product name, image, currency, price and availability. Compare those values with the visible page and selected variant. Google explains the supported Product and Offer markup for merchant listings; eligibility is not a promise of a rich result.
5. Sample deliberately and recheck changes
Include products from different categories, price bands, inventory states, and variant patterns. Record the URLs checked, note each mismatch with evidence, fix the source data or theme output, and rerun the same checks afterward. A small sample helps prioritize work but cannot stand in for every SKU.
Investigate a price or stock mismatch
Have a specific Shopify product whose feed price or availability differs from its landing page? Follow the product feed and landing-page mismatch checklist. Record the affected URL, selected variant, currency and time checked so your team can compare the same offer before and after a repair.
For a public-page starting point, scan three products free. The scan does not inspect private channel settings or an unpublished feed. See the sample assessment for the evidence format.