# Cross-Domain Entity Consistency — Wikidata, sameAs, and the entity graph

AI retrievers resolve brands to entities in Wikidata. If your site's Organization schema disagrees with your Wikidata record — or you have no Wikidata record — you're a stranger to the entity graph. This tool reconciles both sides.

Author: J.A. Watte
Published: April 22, 2026
Source: https://jwatte.com/blog/blog-tool-cross-domain-entity-consistency/

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_Part of the [AEO / GEO / AI-search audit tool stack](/blog/blog-new-aeo-audit-tools-2026/).  See the pillar post for the full catalog of sibling audits and where this one fits in the lineup._

AI retrievers (Perplexity, ChatGPT Browse, Claude with web, Gemini) increasingly query the **entity graph** before they trust a source. The entity graph is the structured cross-reference layer built from Wikidata (primary), Wikipedia, LinkedIn, Crunchbase, official company registries, and the `sameAs` property in your own schema.

If your site says the CEO is Jane Smith and Wikidata says the CEO is John Jones, one of those is wrong — and the retriever will usually prefer Wikidata because it's a curated source with edit history.

If your site has no `Organization` schema, or the schema has no `sameAs` property, you are *not in the graph*. AI retrievers can still rank you, but they can't verify you, which means they treat you as a lower-confidence source.

[The Cross-Domain Entity Consistency tool](/tools/cross-domain-entity-consistency/) reconciles both sides.

## What it does

1. Fetches your page
2. Extracts the Organization JSON-LD (or Person schema, for author entities)
3. Queries Wikidata's search API for a matching entity by name
4. Fetches the matched Wikidata entity's full properties
5. Compares each claim:
   - Legal name
   - Founding date
   - Founders / CEO
   - Headquarters location
   - Industry (ISIC code)
   - Website URL
   - Social-media handles (`sameAs`)
   - LinkedIn company page
   - Crunchbase ID
6. Reports matches, mismatches, and missing-on-your-side vs. missing-on-Wikidata-side

## The three failure modes

### 1. "No Wikidata entity exists"
You haven't been listed yet. Fix: create a Wikidata entity manually (account + notability criteria apply) OR get listed in a reference source that feeds into Wikidata (Crunchbase, Forbes list, industry association directory).

### 2. "Entity exists but your site's schema is missing sameAs"
Your Organization JSON-LD lacks the `sameAs` array pointing at Wikidata QID, LinkedIn, X, Crunchbase. Fix: add the sameAs block.

### 3. "Both exist but disagree"
The hardest. Your site says founding year 2015, Wikidata says 2016. One is wrong — probably your site, since Wikidata is generally curated against primary sources. Fix: verify the truth, update the wrong source.

## Why entity consistency is about to matter a lot more

IBM's GEO playbook names "entity presence" as one of the top-three signals. Perplexity's citation preference leans on entity-resolvable sources. Google's E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) evaluates via a mixed human/algorithmic read that includes whether the named entities resolve to real-world verified identities.

Sites with clean entity graphs get cited. Sites with no entity graph get cited *less*. And the difference widens as more of traffic shifts from 10-blue-links to conversational answers with inline citations.

## How to use it

1. Go to [/tools/cross-domain-entity-consistency/](/tools/cross-domain-entity-consistency/)
2. Paste your site's URL (or your About / Team page)
3. Tool fetches + queries Wikidata's public API
4. Read the cross-reference report
5. Copy fix prompt — emits a corrected Organization JSON-LD with sameAs URLs populated

## Related reading

- [Entity Citation Radar](/tools/entity-citation-radar/) — which entities currently cite you
- [Schema Graph Visualizer](/tools/schema-graph-visualizer/) — your internal schema relationships
- [E-E-A-T Analyzer](/tools/eeat-analyzer/) — credibility-signal audit

## Fact-check notes and sources

- **Wikidata public API:** [Wikidata Query Service / wbsearchentities](https://www.wikidata.org/wiki/Wikidata:Tools/For_programmers).
- **schema.org Organization and sameAs:** [schema.org/Organization](https://schema.org/Organization), [schema.org/sameAs](https://schema.org/sameAs).
- **IBM GEO playbook (entity layer):** [Search Engine Land — IBM GEO Playbook](https://searchengineland.com/ibm-geo-playbook-brands-474952).
- **Google E-E-A-T guidelines:** [Google Search Central — Creating helpful, reliable content](https://developers.google.com/search/docs/fundamentals/creating-helpful-content).

_This post is informational, not SEO-consulting or legal advice. Mentions of Google, Wikidata, Wikipedia, LinkedIn, Crunchbase, Perplexity, OpenAI, ChatGPT, Anthropic, Claude, Google Gemini, IBM, and similar products are nominative fair use. No affiliation is implied._


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