ChatGPT, Claude, Gemini, and Perplexity skip stores they cannot understand. Scan your storefront to see which product, policy, and comparison gaps are keeping you out of AI shopping results. Install the StoreSteady app to compare what AI reads against what your store actually knows.
Paste your homepage, collection page, or product URL. The scanner reads only public storefront signals.
Schema coverage, answer gaps, policy markup, and comparison signals. The same evidence AI shopping agents evaluate.
Results highlight the exact product, policy, and comparison gaps keeping your store out of AI recommendations.
If any of these are missing, AI agents default to whichever competitor explains them more clearly.
AI agents parse schema markup before they read your copy. Incomplete or missing product schema means they cannot confidently identify, compare, or recommend your products.
When shoppers ask about sizing, shipping, or returns, AI agents look for a clear answer on your storefront. If the answer is buried, thin, or missing, they pull it from a competitor instead.
Your page says "in stock" while your schema says "out of stock." Your metafields carry attributes that never make it to your PDP. AI agents see the conflicts and drop the product. The StoreSteady app reads your catalog and surfaces the drift your manual review misses.
Use these help articles when you want the step-by-step fix path behind the scan.
AI often compresses or misreads return terms when your public policy language is split across pages, hidden in edge cases, or inconsistent with the storefront.
Yotpo Discover helps surface products socially, while StoreSteady focuses on the buyer-answer, policy-trust, and evidence layer merchants need for AI visibility.
Robots rules, firewalls, geoblocks, or bot blocking can stop Google from reading products and structured data.
Start with a free scan of your public storefront and get the clearest next fix before you spend time rewriting every page by hand.
