Free · No login · No install
See your catalog through the eyes of AI.
The Agentic Catalog Readiness Audit™ reads your catalog the way AI assistants do, and sends you a report showing exactly what they can — and can’t — understand about your products.
Your report
This is what the report looks like.
A real product from a real store — a WooCommerce sunscreen brand, audited today.
A real product from a real store — Make It Glow SPF 30, a WooCommerce sunscreen brand, audited today.
- Your Agentic Catalog Readiness Score™
- A before/after like this one, for a real product from YOUR catalog
- A machine-readability check of your whole store
- What to fix first
What the audit measures
What the audit measures.
Four things about your product — and one about your store.
Category resolution
Can a machine tell what your product IS? We check whether it resolves to an official category — not a guess from the title.
Structured attributes
Material, capacity, fit, compatibility, use case. The facts an assistant matches against a shopper’s request. Missing attributes = invisible product.
Machine-readable description
Your description was written for a person. We check whether a machine can extract what it’s for, who it’s for and what it’s made of.
Intent & use-case signals
“Something for dry skin that won’t clog pores” is not a keyword. We check whether your product carries the signals that match how shoppers actually ask.
Machine readability (your store)
Structured data, schema, canonical URLs, llms.txt, robots.txt, agents.md — whether AI crawlers can find and read your store at all.
The score
How the score works.
Your Agentic Catalog Readiness Score™ is 0–100. It’s not an opinion: each of the five dimensions above is checked against your actual product data and your site’s technical setup, and the result is the sum of what a machine could and couldn’t extract.
Three things it is NOT:
- It’s not a ranking. It doesn’t compare you to competitors.
- It’s not a design or SEO score. A beautiful store can score low; a plain one can score high.
- It’s not a judgment of your products. It measures whether machines can READ them.
We use the same measurement before and after remediation — same product, same yardstick — so if you fix things, the difference you see is real.
That first measurement is what Interpretability Engine Optimization (IEO) calls an Interpretability Baseline — the observed state of your catalog before anything is changed.
How it works
Three steps. About 1–2 minutes.
Paste your store URL — we read your public catalog. No login, no install.
We analyze a representative product from your catalog the way an AI assistant would.
Your report arrives by email and opens on nsolvia.com — score, before/after, and what to fix first.
Frequently asked
The questions merchants ask first.
Does a low score mean my store is bad?
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.
Is it really free?
Yes. No card, no signup, no trial period. You paste a URL and get the report by email.
Do I need to give you access to my store?
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.
Will it work on my store?
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.
Why one product — and what happens if I run it again?
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.
What do I get, and what do I do with it?
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.
See what AI sees.
Audit My Catalog FreeWhere this sits
- Part ofNSOLVIA's Semantic Commerce Layer™NSOLVIA's framework for practising IEO on commerce data — the interpretability layer between catalogs and the systems that read them.
- Goes deeper
- Inside the Agentic Catalog Readiness Audit™ — How the audit works: the five dimensions, the scoring, and what the score is not.
- Alongside it
- the Optimizer for Shopify — Writes your verified product data into Shopify's native category attributes.
- AI-Ready Commerce Feeds™ — Enrich the catalog once and deliver it in the format each destination expects.
- Catalog Export™ — The enriched catalog delivered as a structured dataset you own, with no subscription attached.
Agentic Catalog Readiness Audit™sits inside NSOLVIA's interpretability stack — an open discipline, the framework that implements it, and the instruments that apply it.