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!