AI shopping agents read discrete facts they can check, not prose. Litestore turns each product's specifications and variant axes into structured attribute pairs, publishes them into JSON-LD and the product feed, and audits how citable each product is.
AI assistants quote product facts. Litestore publishes them and flags the products that are missing any.
How ready your products are
Ready 68%Similar products list 3 things this one is missing
Material
European linen
Size
S
Size
M
Size
L
Fit
Relaxed
Care
Machine wash 30°
Three sizes are stored as three separate values, not one line of text.
Each specification is stored as a separate value, such as Size = S or Size = M, so AI assistants can read them individually rather than parsing a sentence.
Each product is scored on the three things an AI assistant needs: structured attributes, intent tags, and related products.
Products are compared with others in their category, listing the attributes similar items declare and this one is missing.
Return policy, availability, and price are published to the product page markup and the merchant feed from one source, so the two always agree.