Entity Gap X-Ray

What this checks

When an AI system reads your site, it tries to match the people, products, and organizations you mention to entities it already knows, mostly nodes in public knowledge graphs like Wikidata. Entity Gap X-Ray runs that match for a domain you give it and draws the result: which entities resolve cleanly, which resolve weakly, and which have no node at all. The empty spots are the gaps. Each one is a place where a machine reading your page cannot be sure who or what you mean.

Why the gaps matter

A missing entity is a missing fact. If the founder behind your expertise has no node, an AI summarizing your company cannot attribute that expertise to a real person, so it either guesses or drops the claim. The same is true for a subsidiary, a product line, or a parent organization. Gaps weaken how search and AI systems understand your site, and they compound: an entity with no node cannot anchor the relationships that would resolve the entities around it.

How to close a gap

Most gaps close in one of three ways. Create the missing node where the entity is genuinely notable, most often a Wikidata item for a person or organization. Add explicit sameAs links from your markup to authoritative profiles, so the match is stated rather than inferred. And repair the dangling edges the tool flags, where a trust link points to a page that no longer exists. For the on-page structured data underneath all of this, run Readout. For pulling clean, cited entity data with its provenance intact, see Wikidata MCP. For the wider picture of what markup the web actually deploys, read The State of Schema.org Deployment. For the full walkthrough, read the guide on building entity-rich sites.