Paste your store URL. See what an automated shopper can actually read from your product pages: structured data, descriptions, images and crawler access. No signup, no changes to your store.
This report tells you which product pages a machine cannot read properly. Fixing them one by one is the part that takes months. BrandyBee connects to your store and rewrites the pages themselves: descriptions, structured data, and the rest of the page around them.
Every BrandyBee template is a full, conversion-ready product page, optimized with real competitor and market data, written on-brand, with the specs, comparisons, and story that turn browsers into buyers.
Click any template to open the full page
It reads your store the way an automated shopper does: whether each product page carries structured product data (Product schema with price and availability), whether descriptions are present and long enough to say anything, how many images each product has, and whether your robots.txt lets AI crawlers read the pages at all. Every check is factual. Nothing is a guess.
Yes. If a catalogue feed is available it is read directly; otherwise the store is discovered through its sitemap and a sample of product pages is examined. WooCommerce, ikas and custom storefronts all work. The report tells you which route was used and how many products it covered.
A score is only given when product pages can be identified with confidence. If the tool cannot tell which pages are products, it says so instead of inventing a number. A site that is not a store should never come back with a flattering result.
Ranking in search and being readable by an automated buyer are different problems. A page can rank on its text and still be skipped by a shopping surface that needs a machine-readable price and stock status. Structured data is what makes those facts unambiguous.
No. It only reads publicly available pages, exactly as any visitor or crawler would. Nothing is submitted, modified or stored on your side, and no login is required.