Pacer · SCHEMA

Is your store ready
for agentic commerce?

AI agents like Claude, Perplexity and ChatGPT recommend products based on what they can read. If your data isn't structured correctly, you're invisible to them. This audit measures your store across three surfaces: JSON-LD structured data (how training models learn your catalogue), the shop.app MCP channel (how live agents query your products), and attribute completeness (how thoroughly your data is filled across your catalogue).

Platform

The shop.app/mcp agent channel is Shopify-native and will be skipped for your platform. We'll audit your JSON-LD structured data and attribute completeness. Your agentic surface will score 0 by default. This is the gap Pacer's Agentic Plan addresses, without requiring a platform migration.

About you

First name

Last name

Work email

Company / store name

Required

Store URL

Public-facing store URL. No API key required.

Shopify Product Export

Admin → Products → Export → All products → Plain CSV.

Markets to test Pick 1–3

US USD UK GBP EU EUR AE AED AU AUD

JSON-LD will be scraped from each market with that region's geo-IP, so prices/currency reflect what local agents actually see. The first selected market is your primary and drives top-line scores.

Competitors Optional

Competitor store URLs (up to 5)

We'll scrape 2 PDPs per competitor and compare JSON-LD richness.

Audit in progress