Shopping questions are answered by text, not by your product photos

"Where can I buy a wool coat under £200 that ships to Ireland?" An assistant answering that reads words: material, price, shipping destinations, return window. Your product photography, however good, contributes nothing to that sentence.

Retail sites are built for browsing by humans, which makes them poor reading for machines. The specifics a shopper cares about — what it is made of, how long delivery takes, what happens if it does not fit — sit in tabs, accordions, or a shipping page nobody links to. Meanwhile the text a crawler does find is the same marketing paragraph every competitor uses.

What actually gets a store into an answer

• Concrete attributes. Material, size range, country of manufacture, warranty length.
• Where you ship and how long it takes. Named countries and real day counts.
• Your returns policy in one sentence. Not a link to a policy page — the sentence itself.
• Price honesty. A range beats silence. Silence removes you from comparisons.

The category trap

Being described as "premium quality products at affordable prices" makes you the answer to nothing. Being described as "hand-finished wool coats, £120–£240, ships to the UK and Ireland in 3 days, 60-day returns" makes you the answer to a very specific and very common question.

What is listed here

Every store below has a listing page and a markdown twin that any crawler can read whole, plus an open counter of how many times each named AI crawler fetched it. Raw logs, published as they are.