Question 1

Does a low score mean my store is bad?

Accepted Answer

No. It means your product data isn’t machine-readable — which is normal: most catalogs were written for shoppers, not for AI assistants. A low score is a gap, and gaps are fixable. Stores with great products and great sales score low all the time.

Question 2

Is it really free?

Accepted Answer

Yes. No card, no signup, no trial period. You paste a URL and get the report by email.

Question 3

Do I need to give you access to my store?

Accepted Answer

No. We read only public pages — the same ones a shopper or an AI crawler sees. No login, no API key, no install. Nothing is written to your store.

Question 4

Will it work on my store?

Accepted Answer

Yes, if your product pages are public. The audit reads public pages the way an AI crawler does, so the platform doesn’t decide whether it runs — Shopify, WooCommerce, Wix, Squarespace or something custom. What comes after the diagnosis does depend on your platform, and the report tells you where you stand.

Question 5

Why one product — and what happens if I run it again?

Accepted Answer

A representative product shows the pattern: if one product is missing category, attributes and intent signals, the rest almost certainly is too. Run it again whenever you want — it measures the same product with the same yardstick, so any improvement you see is real, not a different test.

Question 6

What do I get, and what do I do with it?

Accepted Answer

Your score, a before/after of a real product from your catalog, a machine-readability check of your store, and a list of what to fix first. Some fixes you can do yourself; for the rest, that’s what NSOLVIA is for.

Dimension	Baseline	Observed	Projected
Structural	23	23	23/30	/30
Semantic	7	38	40/40	/40
Discoverability	20	24	30/30	/30
Total	50	85	93/100	/100

Field	Complete layer	Installed	Where
Standard product category Apparel & Accessories > Clothing > Lingerie > Shapewear > Bodysuits	✓	✓	Apparel & Accessories > Clothing > Lingerie > Shapewear > Bodysuits
Product type Product type field	✓	✓	Product type field
AI-ready description Product metafield	1993	✓	Product metafield
What it does (functions) Inside the AI-ready description	2	1	Inside the AI-ready description
Use cases Inside the AI-ready description	3	3	Inside the AI-ready description
Purchase signals Inside the AI-ready description	1	0	Inside the AI-ready description
Materials Inside the AI-ready description	5	5	Inside the AI-ready description
Category attributes Shopify category metafields	8	6	Shopify category metafields
Search vocabulary Kept in NSOLVIA (not installed)	5	0	Kept in NSOLVIA (not installed)
Global product ID (GTIN) Merchant action	n/m	✗	Merchant action
Catalog coverage (AI-ready descriptions) Published products	28	28	Published products

pontebellastore.com

Semantic layer installed — 85/100 — measured, not projected