AgentReady
Schema for AI · Schema generation

Make every product page readable to AI assistants

See what your theme already emitted, what AgentReady prepares from confirmed store data, and how configure, generate, theme-enable, and observe stay separate. One checker run shows the public gap.

Schema for AI schema generation is an entitled Shopify capability (for shopify today). Theme embed required for storefront delivery; no ranking promise.

Before
theme and app patchwork
Prepared
Schema.org from confirmed data
Live
only after theme embed + observe
Navy scrunch bodysuit, a sample product page

Scrunch Bodysuit

Navy · $70.00 · In stock

JSON-LD · generated
{
"@type": "Product",
"name": "Scrunch Bodysuit",
"brand": "Example Brand",
"gtin": "0000000000000",
"color": "Navy",
"offers": { "@type": "Offer",
"price": "70.00",
"priceCurrency": "USD",
"availability": "InStock" },
"aggregateRating": { "ratingValue": "4.7" }
}
ChatGPT
Claude
Perplexity

See your result

What the free checker reports for structured data

Paste your storefront URL and the checker scores schema coverage and the highest-impact gaps. The mockup above is the same kind of before/after surface: what was patchy, what a full graph looks like.

If an assistant cannot parse your products, it cannot recommend them

Your theme is for people. Underneath it, AI assistants need clean, structured, machine-readable data. AgentReady writes that layer from your catalog and keeps it honest.

What was already there

Your theme and apps already emit some schema. Often incomplete, sometimes conflicting.

Most Shopify themes ship a basic Product node. Review apps, SEO apps, and theme sections often add more. The result is usually a patchwork: missing offers or shipping, ratings only when a widget loads, and sometimes two Product blocks with different shapes. Search engines and AI assistants quietly distrust that mess.

  • Theme Product markup is a start, not a full graph
  • App widgets often add a second Product node
  • Broken or duplicate schema fails silently
Navy scrunch bodysuit, a sample product page

Scrunch Bodysuit

Navy · $70.00 · In stock

JSON-LD · generated
{
"@type": "Product",
"name": "Scrunch Bodysuit",
"brand": "Example Brand",
"gtin": "0000000000000",
"color": "Navy",
"offers": { "@type": "Offer",
"price": "70.00",
"priceCurrency": "USD",
"availability": "InStock" },
"aggregateRating": { "ratingValue": "4.7" }
}
ChatGPT
Claude
Perplexity

What AgentReady adds

A full Schema.org graph sourced only from data your store actually has

Every product page gets a Product node with offers, prices, availability, identifiers, variant data, shipping from your real delivery profiles, and your stated return policy. Collections, articles, FAQs, Organization or LocalBusiness, and breadcrumbs complete the graph. Nothing is guessed: a price we cannot compute is skipped, a rating only renders from real review data.

  • Product, Offer, variants, shipping, and return policy
  • CollectionPage, FAQPage, Article, Organization, LocalBusiness
  • Honesty rule: never invent ratings, prices, or policies
83%valid

Keep the states distinct

Configured and generated are not the same as live on the storefront

AgentReady can flag competing Product schema during a crawl and help you keep one coherent graph. Generation prepares markup from confirmed data. The theme app extension must be enabled before shoppers and crawlers see it. Observing a public URL and validating that markup are separate steps. Regeneration after catalog edits still needs a live re-check.

  • Configure and generate inside the app
  • Enable the theme app extension on the published theme
  • Observe and validate the public page separately
83%valid

How it works

From store data to validated markup

1

Read and confirm

AgentReady syncs products, policies, locations, and review data from Shopify. You confirm organization, shipping, returns, and offer truth before treating facts as ready.

2

Generate markup

It builds Schema.org JSON-LD from confirmed data and skips anything it cannot prove. Generation is not proof the storefront is serving it yet.

3

Enable, observe, validate

Turn on the theme app embed, fetch a public page to observe the JSON-LD, then validate when you need a receipt. No ranking promise.

Result

Assistants read one authoritative graph

When duplicates are cleared and validation passes, ChatGPT, Perplexity, Google, and Shopify's own surfaces see the same prices, availability, and policies your shoppers see, without competing Product nodes. We do not claim a recommendation guarantee from schema alone.

Start free

Start Schema for AI

Schema generation is included in Schema for AI. Paid entry is Core at $9/mo (billed through shopify). More commerce platforms are planned.

Growth and Pro start with a 14-day free trial.

Questions

Does this conflict with my theme's built-in schema?
AgentReady can detect competing Product schema blocks during its crawl and flag duplicates, so you can disable the theme's version and keep one authoritative source. Two competing Product nodes with different shapes confuse both Google and agents.
Which Schema.org types are covered?
Product (with Offer, variants, shipping, and return policy), CollectionPage, BreadcrumbList, Organization and OnlineStore, LocalBusiness per location, FAQPage, Article and BlogPosting, HowTo, and Recipe, when the underlying store data exists.
Will it invent ratings or reviews?
Never. Rating markup renders only when a supported review app's real data exists on the product. Fabricated ratings are a Google policy violation and a fast way to lose agent trust.
What if my theme strips the markup?
Confirm the theme app extension is enabled on the published theme, then fetch the public URL yourself. The readiness checker and in-app audits help spot missing markup. Configured or generated data is not the same as storefront-observed.

Check what AI can read today

Paste your store URL. See structured-data coverage and the highest-impact gaps before you install anything.