Schema json optimization

Schema JSON Optimization

Validate existing JSON-LD and suggest only relevant schemas based on the detected page type.

Important: Do NOT blindly check for all schema types. First detect what kind of page this is, then only validate/suggest schemas that are applicable.

Step 1: Find and validate existing JSON-LD

Look for all <script type="application/ld+json"> elements:

• None found → ⚠️ WARN "No JSON-LD schema markup found"
• Found → ✅ PASS "Found N JSON-LD block(s)" → validate each:

Validation rules

• Invalid JSON → ❌ FAIL "Could not parse JSON-LD"
• Missing @context → ❌ FAIL
• Missing @type → ❌ FAIL
• Valid → ✅ PASS and check type-specific required fields (see Step 3)

Step 2: Auto-detect page type

Scan the HTML for signals to determine what type of page this is. A page may match zero, one, or multiple types:

Page type	Detection signals
Article / Blog	<meta property="article:published_time">, <article> tag, blog-like URL patterns (/blog/, /post/, /news/)
LocalBusiness	<address> tag, <a href="tel:...">, [itemprop="telephone"], [itemprop="address"], contact page patterns
Product	<meta property="og:type" content="product">, price elements ([itemprop="price"]), add-to-cart buttons
FAQ	Multiple <details>/<summary> or FAQ-patterned heading + paragraph pairs
Organization	About page with company info, <meta property="og:type" content="website"> on homepage
BreadcrumbList	<nav aria-label="breadcrumb">, .breadcrumb class, <ol> with breadcrumb-like links
WebSite	Homepage with site-wide search form

If no type is detected → only validate existing schemas, do not suggest new ones.

Step 3: Validate and suggest ONLY for detected types

Only if Article/Blog detected:

Check existing Article schema for:

Field	Missing =
headline	⚠️ WARN
datePublished	⚠️ WARN
author	⚠️ WARN
image	⚠️ WARN
description	⚠️ WARN

If no Article schema exists, suggest generating one:

{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "[from og:title, <title>, or <h1>]",
  "datePublished": "[from article:published_time or <time datetime>]",
  "author": { "@type": "Person", "name": "[from meta author]" },
  "image": "[from og:image or first article img]",
  "description": "[from meta description]",
  "url": "[from canonical or og:url]"
}

Only if LocalBusiness detected:

Check for:

Field	Missing =
name	❌ FAIL
address	⚠️ WARN
telephone	⚠️ WARN

If no LocalBusiness schema exists, suggest generating one:

{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "[from og:site_name or <title>]",
  "address": "[from <address> or itemprop=address]",
  "telephone": "[from itemprop=telephone or tel: link]",
  "url": "[from canonical or og:url]",
  "image": "[from og:image]"
}

Only if Product detected:

Check for:

Field	Missing =
name	❌ FAIL
offers (with price and priceCurrency)	⚠️ WARN
image	⚠️ WARN
description	⚠️ WARN

Only if FAQ detected:

Suggest FAQPage schema with Question/Answer pairs extracted from the page.

Only if BreadcrumbList detected:

Suggest BreadcrumbList schema from the breadcrumb navigation structure.

Key principle

DO: "This page looks like a blog post → checking for Article schema"
DON'T: "Missing LocalBusiness schema" on a blog post page

The goal is relevance, not completeness. Only flag missing schemas that would actually benefit the detected page type.

Edge cases

• A page may have multiple valid types (e.g. a product page with FAQ section → suggest both Product and FAQPage)
• A page may have existing schemas that are valid but don't match the detected type — that's fine, still validate them
• If detection is ambiguous, report what was detected and let the user decide
• Schema @type can be an array (e.g. ["Article", "NewsArticle"])