JSON-LD Entity Graph Visualizer
Map JSON-LD schema into an interactive node graph. Validate entity relationships, spot broken @id references, and export a shareable diagram.
Root entities: Organization, WebSite
Cross-references Organization / Person / Place entities against Google's Knowledge Graph. A match means Google recognises this entity by name + type.
AEO Summary(23 lines)expand
This page describes an Organization: "DirJournal".
About "DirJournal":
- name: DirJournal
- url: https://www.dirjournal.com
- sameAs: https://twitter.com/dirjournal, https://linkedin.com/company/dirjournal
"DirJournal" is connected to:
- founder: a Person ("Hasan Saleem")
This page describes a WebSite: "DirJournal".
About "DirJournal":
- name: DirJournal
- url: https://www.dirjournal.com
"DirJournal" is connected to:
- publisher: an Organization ("DirJournal")
Supporting entities in this graph:
- Person: "Hasan Saleem" (name: Hasan Saleem)
Schema completeness:
- 8 recommended fields missing — adding them strengthens the entity profile.Paste into ChatGPT / Claude / Perplexity as context, or into your AEO content brief. Reflects the current graph, validation flags, and Knowledge Graph matches.
Entity summary(scroll for full graph ↓)
- Organization
DirJournal
- → founder Person · Hasan Saleem
- ← publisher from WebSite
- Person
Hasan Saleem
- ← founder from Organization
- WebSite
DirJournal
- → publisher Organization · DirJournal
Why Visualize Schema Markup?
Visualizing nested schema helps identify broken connections between Organization, LocalBusiness, and Person entities before search engines crawl them — a missing @id or an orphaned publisher reference jumps out of a node graph in seconds, where it hides inside dozens of indented lines of JSON.
The visual surface also catches over-emission: duplicate Organization blocks, mismatched canonical @id URLs, and Person nodes that should have been roles on an Organization instead.
How the Visualizer Works
- 1Paste your JSON-LD code or a live URL. Either input is accepted — URL fetches happen server-side and pull every
application/ld+jsonblock from the response. - 2The tool parses the structured data. Each top-level entity, each nested object, and every
@idreference is extracted, so cross-block links inside a@graphresolve correctly. - 3It generates a visual relationship map showing how your entities connect. Drag, pan, and zoom to inspect each node — broken connections, orphaned references, and unintended duplicates show up at a glance.
Frequently Asked Questions
What is a JSON-LD node graph?
A JSON-LD node graph is a visual representation of structured-data entities and the references between them. Each Organization, LocalBusiness, Person, or Product becomes a node, and every @id or nested property becomes an edge — so a single image shows whether your schema actually connects the way you intended.
How do I test nested entity relationships?
Paste your JSON-LD or fetch a live URL. The visualizer extracts every application/ld+json block on the page, resolves @id references between blocks, and renders the result as a draggable node graph. Broken or dangling references appear as nodes with no incoming edges, which surfaces missing publisher, isPartOf, or mainEntity links before search engines crawl them.