The Problem
JSON-LD is painful to manage:
- Manually writing JSON-LD is error-prone and tedious
- Schema breaks silently when content changes
- Other tools validate JSON files (false positives!) — your pages still lack markup
- AI systems (ChatGPT, Claude, Perplexity) can't cite your content without proper structured data
- 30% lower CTR without rich snippets in Google
The Solution
Schema Sentry gives you type-safe builders + CI validation:
// Type-safe schema with autocomplete
* import { Schema, Article, Organization } from "@schemasentry/next";
export default function Page() {
return (
<>
<Schema data={[
Organization({ name: "Acme", url: "https://acme.com" }),
Article({
headline: "My Post",
authorName: "Jane",
datePublished: "2026-02-18",
url: "https://acme.com/blog/post"
})
]} />
<main>...</main>
</>
);
}Then in CI:
* pnpm schemasentry validate --manifest schema-sentry.manifest.json --build *
This validates actual built HTML — catches missing schema that other tools miss.
Key Features
- Type-safe builders for 15+ schema types (Product, Article, FAQ, etc.)
- <Schema /> component for Next.js App Router
- Validates real HTML output (zero false positives!)
- Manifest-driven coverage enforcement - GitHub Bot for automated PR schema reviews - VS Code extension with live preview
Why This Matters
- SEO: Eligible for rich snippets (30% higher CTR on Product pages)
- AI Discovery: ChatGPT/Claude/Perplexity can cite your content
- CI-grade: Fails builds when schema breaks — never deploy broken markup again
Try it:
pnpm add @schemasentry/next @schemasentry/core
pnpm add -D @schemasentry/cli
pnpm schemasentry init
Would love feedback!