AgentReady
Schema for AI · Schema generation

Make every product page readable to AI assistants

See what your theme already emitted, what AgentReady safely adds from real store data, and how validation stops duplicate or broken markup from shipping. One checker run shows the gap.

Schema for AI schema generation is live (for shopify today). No theme JavaScript; sourced only from data your store actually has.

Before
theme and app patchwork
Added
validated Schema.org graph
Kept
current by webhooks
Navy scrunch bodysuit, a sample product page

Scrunch Bodysuit

Navy · $70.00 · In stock

JSON-LD · generated live
{
"@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 live
{
"@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

Validation before it ships

Malformed JSON-LD never reaches your storefront

Validation runs before markup is published. Competing Product schema blocks are detected during the crawl and flagged as duplicates so you can keep one authoritative source. Webhooks regenerate when the catalog changes; a weekly sweep repairs anything missed; drift monitoring re-crawls live pages and alerts if rendered markup stops matching what was generated.

  • Validate first, then publish
  • Duplicate Product nodes flagged, not ignored
  • Drift alerts when live pages diverge from generated markup
83%valid

How it works

From store data to validated markup

1

Read your store

AgentReady syncs products, policies, locations, and review data from Shopify, the same facts shoppers already see.

2

Generate and validate

It builds the Schema.org graph from that data, skips anything it cannot prove, and validates JSON-LD before publish.

3

Ship and watch

Markup lands on your pages with no theme JavaScript. Webhooks and drift checks keep it current as the catalog moves.

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 Starter at $29/mo (billed through shopify). More commerce platforms are planned.

Every paid plan starts with a 14-day free trial.

Questions

Does this conflict with my theme's built-in schema?
AgentReady detects competing Product schema blocks during its crawl and flags 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.
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?
The readiness audit fetches your live pages as an AI bot and verifies the markup is actually rendering. If a theme update ever breaks it, drift detection tells you instead of leaving you silently invisible.

Check what AI can read today

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