The DirJournal JSON-LD Entity Graph Visualizer is a technical SEO utility that maps nested schema markup into an interactive node graph to validate entity relationships.
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.
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.
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.
application/ld+json block from the response.@id reference is extracted, so cross-block links inside a @graph resolve correctly.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.
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.