DOCSintermediate

Schema.org Entity Blocks — A Square Solutions Ecosystem

Production-ready JSON-LD schema markup for all four A Square Solutions properties. Establishes machine-readable entity relationships between asquaresolution.com, AI Execution Lab, TrustSeal, and ScamCheck for AI search systems and Google structured data.

May 19, 2026· by Anis Ansari, Founder, A Square Solutions· 6 min read

#schema #seo #geo #entity #json-ld #structured-data #wordpress #ecosystem

ShareX LinkedIn

Generate post copy →

JSON-LD schema blocks for all four A Square Solutions properties. Copy-paste ready. Each block establishes machine-readable entity relationships that AI search systems parse when building entity graphs.

Schema markup is the most direct way to tell AI retrieval systems (Google, ChatGPT plugins, Perplexity) the exact relationship between these properties — that they are all owned by the same organization, what each one does, and how they connect.

Why This Matters for GEO

AI search systems don't only read content — they parse structured metadata. When ChatGPT or Perplexity answer "what does A Square Solutions build?", they draw from two sources:

Content — what the pages say in prose
Schema — what the pages declare in structured data

Without schema, the relationship between asquaresolution.com and lab.asquaresolution.com is inferred from co-occurrence. With schema, it is explicit: Organization → owns → WebSite, SoftwareApplication. This removes ambiguity from AI entity resolution.

The sameAs field is particularly important. It establishes that "A Square Solutions," "asquaresolution.com," "lab.asquaresolution.com," "TrustSeal," and "ScamCheck" all resolve to the same entity cluster.

Block 1 — asquaresolution.com (WordPress)

Add via WPCode → Add New Snippet → Header & Footer → Header section. Runs sitewide.

JSON

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "@id": "https://asquaresolution.com/#organization",
  "name": "A Square Solutions",
  "url": "https://asquaresolution.com",
  "description": "A Square Solutions builds production AI tools and systems. Engineering decisions, deployment workflows, and production failures are documented publicly at AI Execution Lab.",
  "foundingDate": "2024",
  "logo": {
    "@type": "ImageObject",
    "@id": "https://asquaresolution.com/#logo",
    "url": "https://asquaresolution.com/wp-content/uploads/logo.png",
    "width": 512,
    "height": 512
  },
  "sameAs": [
    "https://lab.asquaresolution.com",
    "https://trustseal.asquaresolution.com",
    "https://scamcheck.asquaresolution.com"
  ],
  "owns": [
    {
      "@type": "WebSite",
      "@id": "https://lab.asquaresolution.com/#website",
      "name": "AI Execution Lab",
      "url": "https://lab.asquaresolution.com",
      "description": "A Square Solutions' public operations journal for production AI engineering — failures, playbooks, deployment workflows, and execution tracks."
    },
    {
      "@type": "SoftwareApplication",
      "@id": "https://trustseal.asquaresolution.com/#app",
      "name": "TrustSeal",
      "url": "https://trustseal.asquaresolution.com",
      "applicationCategory": "BusinessApplication",
      "operatingSystem": "Web",
      "description": "AI-powered trust verification for websites and businesses. Assesses credibility signals and issues verifiable trust badges.",
      "offers": {
        "@type": "Offer",
        "priceCurrency": "INR",
        "availability": "https://schema.org/InStock"
      }
    },
    {
      "@type": "SoftwareApplication",
      "@id": "https://scamcheck.asquaresolution.com/#app",
      "name": "ScamCheck",
      "url": "https://scamcheck.asquaresolution.com",
      "applicationCategory": "SecurityApplication",
      "operatingSystem": "Web",
      "description": "AI scam detection tool. Analyzes websites and businesses for scam signals using domain, content, and behavioral pattern analysis.",
      "offers": {
        "@type": "Offer",
        "price": "0",
        "priceCurrency": "USD"
      }
    }
  ]
}

Also add WebSite schema separately (same snippet, second <script> tag):

JSON

{
  "@context": "https://schema.org",
  "@type": "WebSite",
  "@id": "https://asquaresolution.com/#website",
  "url": "https://asquaresolution.com",
  "name": "A Square Solutions",
  "description": "Production AI tools and systems from A Square Solutions.",
  "publisher": {
    "@id": "https://asquaresolution.com/#organization"
  },
  "inLanguage": "en-US"
}

WPCode snippet format (wrap both in one snippet):

HTML

<script type="application/ld+json">
{ ... Organization block ... }
</script>

<script type="application/ld+json">
{ ... WebSite block ... }
</script>

Block 2 — lab.asquaresolution.com (Next.js / Vercel)

Add to app/layout.tsx in the <head> section using a <Script> component or inline <script> tag.

TSX

// In app/layout.tsx or a dedicated SchemaOrg component
const labSchema = {
  "@context": "https://schema.org",
  "@type": "WebSite",
  "@id": "https://lab.asquaresolution.com/#website",
  "url": "https://lab.asquaresolution.com",
  "name": "AI Execution Lab",
  "description": "A Square Solutions' public operations journal for production AI engineering — failures, playbooks, Claude Code workflows, and deployment architectures.",
  "publisher": {
    "@type": "Organization",
    "@id": "https://asquaresolution.com/#organization",
    "name": "A Square Solutions",
    "url": "https://asquaresolution.com"
  },
  "inLanguage": "en-US",
  "about": {
    "@type": "Thing",
    "name": "Production AI engineering",
    "description": "The practice of building, deploying, and operating AI systems in real production environments"
  }
}

In JSX:

TSX

<script
  type="application/ld+json"
  dangerouslySetInnerHTML={{ __html: JSON.stringify(labSchema) }}
/>

Or use Next.js metadata with the Script component:

TSX

import Script from 'next/script'

// In layout.tsx body
<Script
  id="schema-lab"
  type="application/ld+json"
  dangerouslySetInnerHTML={{ __html: JSON.stringify(labSchema) }}
/>

Block 3 — trustseal.asquaresolution.com (React/Vite)

Add to public/index.html in the <head>, or inject via react-helmet / @vitejs/plugin-react head management.

JSON

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "@id": "https://trustseal.asquaresolution.com/#app",
  "name": "TrustSeal",
  "url": "https://trustseal.asquaresolution.com",
  "applicationCategory": "BusinessApplication",
  "operatingSystem": "Web",
  "description": "TrustSeal is an Trust Intelligence Platform by A Square Solutions. It assesses website credibility signals, verifies domains and businesses, and issues verifiable trust badges for businesses that want to demonstrate legitimacy.",
  "creator": {
    "@type": "Organization",
    "@id": "https://asquaresolution.com/#organization",
    "name": "A Square Solutions",
    "url": "https://asquaresolution.com"
  },
  "isPartOf": {
    "@type": "WebSite",
    "name": "A Square Solutions",
    "url": "https://asquaresolution.com"
  },
  "offers": {
    "@type": "Offer",
    "priceCurrency": "INR",
    "availability": "https://schema.org/InStock",
    "seller": {
      "@id": "https://asquaresolution.com/#organization"
    }
  },
  "sameAs": [
    "https://asquaresolution.com",
    "https://lab.asquaresolution.com"
  ]
}

In public/index.html:

HTML

<script type="application/ld+json">
{ ... TrustSeal schema ... }
</script>

Or with React Helmet in App.jsx:

JSX

import { Helmet } from 'react-helmet'

function App() {
  return (
    <>
      <Helmet>
        <script type="application/ld+json">
          {JSON.stringify(trustsealSchema)}
        </script>
      </Helmet>
      {/* rest of app */}
    </>
  )
}

Block 4 — scamcheck.asquaresolution.com (React/Vite)

Same pattern as TrustSeal. Add to public/index.html or via React Helmet.

JSON

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "@id": "https://scamcheck.asquaresolution.com/#app",
  "name": "ScamCheck",
  "url": "https://scamcheck.asquaresolution.com",
  "applicationCategory": "SecurityApplication",
  "operatingSystem": "Web",
  "description": "ScamCheck is an AI scam detection tool by A Square Solutions. It analyzes websites, businesses, and offers for scam signals using domain analysis, content assessment, and behavioral pattern detection.",
  "creator": {
    "@type": "Organization",
    "@id": "https://asquaresolution.com/#organization",
    "name": "A Square Solutions",
    "url": "https://asquaresolution.com"
  },
  "isPartOf": {
    "@type": "WebSite",
    "name": "A Square Solutions",
    "url": "https://asquaresolution.com"
  },
  "offers": {
    "@type": "Offer",
    "price": "0",
    "priceCurrency": "USD",
    "availability": "https://schema.org/InStock"
  },
  "sameAs": [
    "https://asquaresolution.com",
    "https://lab.asquaresolution.com",
    "https://trustseal.asquaresolution.com"
  ]
}

Validation

After implementation, test each property:

Google Rich Results Test: https://search.google.com/test/rich-results

Enter each URL and confirm the schema type is detected
Organization schema should show on asquaresolution.com
SoftwareApplication should show on TrustSeal and ScamCheck

Schema.org Validator: https://validator.schema.org/

Paste the raw JSON-LD to check for property errors
Confirm @id URIs are consistent across all four blocks
Confirm creator and publisher reference asquaresolution.com/#organization

GSC Rich Results report (after 2-3 days):

WP Admin → GSC → Rich Results report
Should show Organization schema detected for homepage

Entity Consistency Notes

The @id values must be consistent across all four schema blocks. These are the canonical identifiers:

Property	@id
Organization	`https://asquaresolution.com/#organization`
Main WebSite	`https://asquaresolution.com/#website`
Lab WebSite	`https://lab.asquaresolution.com/#website`
TrustSeal App	`https://trustseal.asquaresolution.com/#app`
ScamCheck App	`https://scamcheck.asquaresolution.com/#app`

If any external schema tool or plugin generates its own @id values (Yoast, RankMath), check that their generated values match these. Override if needed.

WordPress Ecosystem Integration Playbook — implementation steps
Ecosystem Authority Map — cross-property linking strategy
GEO Intelligence Architecture — entity density and AI search

AI Execution Lab Weekly

Production AI engineering notes, systems, and failure post-mortems — once a week.

Related in Docs

Ecosystem Schema Blocks

Ready-to-paste JSON-LD structured data blocks for WordPress, TrustSeal, and ScamCheck — Organization schema with full sameAs ecosystem array, SoftwareApplication schema for products.

2026-05-18→

Ecosystem Integration Strategy

How the four A Square Solutions properties connect operationally — entity architecture, GEO relationship mapping, cross-domain authority, and canonical structure.

2026-05-18→

Live Pages — Optimization, Internal Linking & Schema/E-E-A-T Audit (verified)

Verified audit of asquaresolution.com live service pages and Tier-A assets: cannibalization/differentiation rules, a do-not-duplicate canonical list, title/meta/H/CTA optimization, an internal-linking additions matrix connecting GEO/AI-Automation/AI-Consulting/Technical-SEO/Entity-SEO + ScamCheck + TrustSeal, and a schema + E-E-A-T audit based on actual JSON-LD output (FAQPage/Service/Article/Person/Organization verified live). Includes sitemap gaps, author-identity standardization, indexing priority, and schema validation report.

2026-05-31→

All Docs