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MPG RESEARCH PAPER • PUBLISHED 2018-12-28 • UPDATED 2026-11-06 • 10 MIN READ

Connected @graph JSON-LD Schema Architecture for B2B & Knowledge Graph Authority

How to link Organization, WebSite, WebPage, Service, Person, and FAQPage nodes using @id URIs and Wikipedia/Wikidata sameAs citations.

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Executive Summary (TL;DR) Disconnected schema plugins output fragmented JSON-LD blocks. Unifying all page entities inside a single @graph array connected via stable @id URIs and external Wikipedia sameAs links clarifies topical authority for both Google Search and AI Overviews.
Schema Entity TypeCanonical @id PatternRequired Relational PropertySEO & AI Overview Benefit
Organizationhttps://domain.com/#organizationsameAs, knowsAbout, foundingDateEstablishes brand entity in Knowledge Graph
WebPage / Articlehttps://domain.com/slug/#webpageisPartOf -> #website, about -> #organizationBinds page topic to publisher authority
Person (Author/Auditor)https://domain.com/author/#personworksFor -> #organization, hasCredentialSatisfies E-E-A-T authorship verification
FAQPagehttps://domain.com/slug/#faqmainEntity -> Question/AcceptedAnswer arrayFeeds direct Q&A extraction for AI citations

1. Why Disconnected Schema Blocks Fail Modern Entity Extraction

Most CMS plugins inject three or four separate script type='application/ld+json' tags onto a page without linking them together. To a search engine parser, an Article, an Organization, and a BreadcrumbList sitting in isolated blocks have no explicit relationship.

By declaring a single unified @graph array where every node references its parent via @id (for example, WebPage.isPartOf pointing to #website, and WebSite.publisher pointing to #organization), you hand Google a machine-readable knowledge graph of your entire business.

  • Wikidata & Wikipedia Grounding: Populate knowsAbout and sameAs with canonical Wikipedia URLs (such as https://en.wikipedia.org/wiki/Digital_product_design) to disambiguate industry terminology.
  • Zero Schema Drift: Every figure in JSON-LD (prices, ratings, dates) must match the visible HTML text 1:1 to comply with Google's Structured Data Guidelines.

Frequently Asked Questions

Does JSON-LD Schema.org markup directly improve keyword rankings?

While schema is not a standalone ranking multiplier for weak content, connected entity graphs disambiguate topical relevance, unlock rich SERP features, and significantly increase citation rates in Google AI Overviews and LLM search engines.

Audited Benchmark Standards in This Practice

MPG Engineering Benchmark • United Kingdom

Manual Screaming Frog + GSC Indexation & Crawl Budget Forensic Audit

Technical SEO & Entity Graph Architect specializing in Screaming Frog deep crawls, connected Schema.org JSON-LD, and expired/aged domain migrations.

Best For: B2B Sites, Content Publishers, SaaS & Expired Domain Rebuilds
Typical Sprint Turnaround: 5–10 Days
Benchmark Deliverable Scope: Connected @graph JSON-LD Schema Pack (Organization, Service, FAQPage, Person), High-Intent Topical Map & Internal Cocoon Linking Blueprint

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