What industry is your store in?

Different industries require different structured data. Your industry determines which fields matter most for your discoverability score — and which gaps are costing you the most.

88% of Fashion stores are invisible in AI search

Most Fashion stores rely on product descriptions instead of structured data. AI tools cannot interpret these descriptions — which means products go unmatched, unranked, and unrecommended.

This assessment will show exactly where your Fashion store stands — which fields you have, which are missing, and what each gap costs you in discoverability. The result is a precise score and a prioritised setup plan.

How many products does your store have?

This tells us whether you need a quick manual setup or a scalable bulk approach — and shapes the recommendations you'll get.

Filling fields across hundreds of products manually isn't realistic.

You selected a large catalog. Manually adding structured metafields to each product one by one would take days — and most merchants give up before they're done.

This assessment will still show you exactly which fields to add. After you see your score, you'll have a clear list — ready to fill in bulk.

Are your products being discovered through AI?

Which of these metafields do you already have?

Select everything currently set up — even partial or basic setups count. This is how we calculate your score.

Select all that apply, or skip if you're not sure.