Why do Shopify catalogs need an AI-readiness audit?

The default Shopify theme ships partial Schema.org Product markup, but most stores end up missing GTIN, MPN, brand, or material attributes once they've been customized. Apps that handle reviews, swatches, or upsells often inject DOM that confuses agent crawlers. The audit shows what an agent actually sees — not what the theme demo looked like.

Does it work on Shopify Plus, Markets, and Hydrogen?

Yes. We render with a real browser, so Hydrogen and headless storefronts work identically to Liquid themes. Shopify Markets variant handling is supported. We auto-detect the platform and tune recommendations to Shopify-specific patterns.

Is it free? Do I need to install anything?

Free, no install. No Shopify admin access needed — we crawl the public storefront. The free no-signup tier audits 20 products. Sign in with Google to scan up to 50 with 90 days of audit history.

Can I audit a competitor's Shopify store?

Yes. We only fetch publicly-available product pages — the same data any visitor or agent crawler can see. Common usage is to audit your own store, then two or three competitors, and compare scores dimension by dimension.

Run a free audit on your storefront →

Shopify Product Data Audit

Audit any Shopify storefront for product data quality. Get a 0-100 PDQ score and ranked fix list. Free, no signup.

Out of the box, Shopify ships partial Product JSON-LD — and most stores end up with gaps after a year of customization: missing GTIN or MPN, broken brand fields, review apps that overwrite the schema, swatch apps that inject markup agents can't follow. Bhoroli renders your storefront in a real browser and scores what an agent actually sees, not what the theme demo looked like.

Where Shopify stores typically fail

The five most common gaps we find on Shopify storefronts:

Empty identifiers. Schema.org Product is present but GTIN, MPN, or brand are empty strings. Agents can't cross-reference the product, so it's skipped in recommendations.
Single Offer for multi-variant products. One Offer node where there should be one per variant. Agents lose all faceting — colors, sizes, per-variant pricing — and default to "from $X".
Specs rendered as prose. Spec values inside styled paragraphs instead of definition lists or tables. Easy for humans, opaque for machines.
Copy vs spec mismatch. Title says "12oz steel bottle", spec table says "350ml aluminum". Agents skip ambiguous products entirely, or pick — and may pick the wrong fact when answering a user.
App-injected DOM. Review apps, swatches, and bundle apps overwriting the parent product schema. Last write wins, which is rarely what you intended.

How the audit works on Shopify

We crawl the public storefront — no admin access, no apps to install, no API keys. The audit honors robots.txt, samples up to 30 product pages, renders with a real browser (so Hydrogen and headless storefronts work identically to Liquid themes), and scores against the same nine PDQ dimensions we use for every other platform — Salesforce Commerce, Magento, BigCommerce, WooCommerce, custom React storefronts. You can benchmark against the wider e-commerce population, not just other Shopify stores.

What you get

A 0–100 PDQ score banded as Excellent, Good, Fair, or Poor. RAG status across all nine dimensions. Top gaps ranked by composite impact (weight × coverage × confidence) — so engineering ships in priority order. The Excel export lists every flagged product, every gap, every recommendation, ready for the catalog team to action.

See the full PDQ framework for what each dimension measures.

Agentic commerce readiness · GEO audit · AEO audit · Checklist

Run your own

See your catalog's PDQ score in about 75 seconds.

Free. No signup needed. 9 dimensions audited. Ranked fix list when you're done.

Run a free audit →

Shopify Product Data Audit

Where Shopify stores typically fail

How the audit works on Shopify

What you get

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