Technical Trust Tool

JSON-LD Checker for AI Search readiness.

Check whether your structured data defines a clean, machine-readable identity graph. Find missing entity IDs, broken publisher links, incomplete WebPage signals and external entity reference issues.

Enter any URL. The checker analyzes the homepage identity graph and matches the checked page against it.

Technical Trust

Example check result

JSON-LD

Organization found

Passed

The homepage defines a website owner or main entity.

External entity similar match

Warning

The referenced ID differs by www/non-www from the entity found on the target domain.

WebSite publisher missing

Critical

The WebSite entity does not clearly point to the publishing organization.

What it checks

A technical trust check for your entity graph.

The checker focuses on the structured data foundation: whether machines can read your graph, distinguish your entities and follow the most important relationships.

01

Website Foundation

Checks if the homepage defines Organization or LocalBusiness, WebSite and WebPage entities.

02

Entity ID Integrity

Finds missing, duplicated or inconsistent @id values that can confuse crawlers and AI systems.

03

Graph Connections

Validates key relationships such as WebSite.publisher, WebPage.isPartOf and WebPage.about.

04

External Entity Resolution

Checks whether referenced external entity IDs can be found on their target domain.

Why JSON-LD matters

AI systems need more than text. They need a readable identity graph.

JSON-LD helps search engines and AI systems understand who publishes a website, what the current page is, which organization it belongs to and how products, services, brands and parent entities are connected.

Machines can separate entities

A website, a page, an organization and a product should not all share the same identifier. Clear IDs make the graph easier to interpret.

Relationships become explicit

Publisher, provider, parent organization, page topic and website membership should be stated directly, not left for machines to guess.

Technical trust starts here

Before AI systems can evaluate authority or citation readiness, they first need a clean and consistent structured data foundation.

Technical Trust

What the JSON-LD Checker reports.

The checker does not try to prove whether an organization is truly trustworthy. It validates whether the declared structured data graph is technically usable and internally consistent.

Critical issues

Missing JSON-LD, invalid JSON, missing entity IDs, duplicate IDs, missing WebSite publisher or missing WebPage relationships.

Warnings

Missing logo, missing sameAs profiles, external entity references that cannot be resolved, or similar IDs with www/non-www differences.

Page matching

If you enter a subpage, the checker compares it against the homepage identity model and checks whether it links back to the main WebSite and Organization entities.

Example issues

Small syntax choices can create big entity problems.

Humans often see these as minor differences. Machines may treat them as different identifiers, disconnected entities or incomplete graphs.

Referenced parent organization

https://eeoom.com/#organization

Found on target domain

https://eeoom.com/#organization

Result

Similar entity found, but not an exact match. Use one canonical @id consistently.

Check your JSON-LD Technical Trust.

Find structural data issues that can make your website harder for search engines and AI systems to understand.

FAQ

JSON-LD Checker FAQ

Questions about structured data, Technical Trust and machine-readable entity graphs.

What does the JSON-LD Checker test?

The JSON-LD Checker tests whether a website defines a clean, machine-readable structured data graph. It checks for valid JSON-LD, Organization or LocalBusiness entities, WebSite and WebPage entities, unique @id values, publisher relationships, page connections and external entity references.

Why is JSON-LD important for Technical Trust?

JSON-LD helps machines understand who publishes a website, what the current page is about and how entities such as organizations, websites, products, services and parent organizations are connected. A broken or incomplete graph can make a website harder to interpret.

How does JSON-LD help AI search systems?

AI search systems need clear signals to identify entities, connect pages to publishers and understand whether a page represents an organization, product, service, article or topic. JSON-LD provides a structured foundation for that understanding.

Does the checker verify external organizations?

The checker performs technical external entity resolution. It checks whether a referenced external @id can be found on its target domain. It does not claim to verify the legal or factual relationship between two organizations.

Published by Stefan Mayr, Founder of EEOOM