Every niche has a different set of product attributes AI shopping agents need. Scan to see which ones your storefront is missing — install the StoreSteady app to find attributes that exist as metafields but never reach your schema or PDP.
Start with the product page buyers use most. The scanner reads the public attributes and supporting details on the page.
The scan looks for missing attributes, weak variant clarity, and thin product facts that make comparison harder.
Results focus on the product details most likely to improve how AI agents explain and recommend what you sell.
AI agents recommend with attributes, not vibes. The public scan shows what makes it onto the page. The StoreSteady app reads your product data to surface the attributes your catalog knows but your schema or PDP never expose.
Apparel needs fit and material details. Bedding needs dimensions and fill. Electronics need compatibility and specs. Missing niche fields weaken recommendations fast. StoreSteady reads your product data to surface these gaps.
If size, color, bundle, or feature differences are unclear, AI agents cannot explain which option fits the shopper best.
When details show up differently across products, comparison quality drops and AI agents lean on whichever competitor is easier to parse.
Use these help articles when you want the step-by-step fix path behind the scan.
Products without GTINs are harder for Google to trust and match. Add the right product identifiers where Google expects them.
Google flagged incorrect product identifiers. Fix GTIN, MPN, and brand consistency to recover Merchant Center visibility.
Google sees a different price than your Shopify storefront or feed. Fix the mismatch so products can stay eligible and consistent.
Google sees a different stock state than your Shopify storefront or feed. Fix the mismatch so products can show again.
Run the scan to surface missing category details, weak variant clarity, and the product facts your niche depends on most.
