What changed on April 22, 2026
Shopify's developer changelog activated three live, AI-callable tools at https://{yourdomain}/api/ucp/mcp — search_catalog, lookup_catalog, and get_product. Every query ChatGPT, Perplexity, Claude, and custom shopping agents now make to Shopify stores flows through this endpoint. The response that comes back is whatever schema.org/Product JSON-LD you have configured. The old endpoints are deprecated June 15.
material, size, color, and shippingDetails are returned with low confidence — or not at all.
What we find in most apparel stores
"@type": "Product",
"name": "Linen Summer Dress",
"description": "...",
"offers": { "price": "89.00" },
// MISSING: "material": "linen"
// MISSING: "size": ["XS","S","M","L","XL"]
// MISSING: "color": "natural"
// MISSING: "gender": "Female"
// MISSING: "shippingDetails": { ... }
// MISSING: "availability": "InStock"
}
These six fields are the most common gaps in default Shopify themes. Each missing field is a disqualifier for a category of AI shopping queries. Avada AEO (the free bot-access app) doesn't fill these — it controls who can crawl your store, not what they find when they do.
What you get
- Public schema audit across your top 50 product handles — every gap field identified and counted
- Perplexity/ChatGPT visibility test — what AI returns for your category right now
- Competitor schema comparison — 3 stores in your category with higher AI discovery scores
- Prioritised fix plan with Shopify metafield implementation steps (per-SKU or bulk CSV)
- Implementation assistance — we run the metafield updates or review your team's work
- Verification run — re-probe after fixes to confirm schema completeness score improved
Pricing
One-shot. Full gap analysis + competitor comparison + fix plan + implementation verification. Delivered within 5 business days.
Monthly re-audit as you add products or run seasonal campaigns. Schema drift alerts + ongoing metafield optimisation.
Priority queue. Results in 48 hours — ideal if you're cutting it close to the June 15 UCP deprecation deadline. Same deliverables as standard audit.
Rush 48h before June 15 — $797
Secure payment via Stripe. You'll receive a brief intake form after checkout — store URL and top product handles.
Questions first? Email john@zapmigration.com
Why a human-reviewed audit instead of an app?
Avada AEO is the free tool that generates LLMs.txt and controls AI bot access. It doesn't populate schema.org/Product fields from your actual product data. Plug in SEO auto-injects standard JSON-LD but doesn't do semantic metafield strategy or per-SKU enrichment for apparel categories. Neither tool tells you what Perplexity actually returns for your store's category, or which competitors have better AI visibility than you right now.
That's the audit: pre-scraped gap analysis against your store's real /products/{handle}.json endpoints, tested against live AI queries, with a fix plan mapped to your specific product catalogue structure.