Entity & Knowledge Panel Checker
Check if your brand is a recognized entity in Wikidata & Wikipedia — the backbone of Google Knowledge Panels and AI recognition. Free, no API key.
Entity & Knowledge Panel Checker
Type your brand name. You get a 0-100 entity score, whether the brand appears in Wikidata and Wikipedia, whether the match is exact, the records we found, and what to do next. It checks public knowledge bases, not Google's private Knowledge Graph.
What is an entity in SEO?
An entity is a thing search engines and AI systems recognize as real and distinct: a business, a person, a place, a product. Being an entity means the system knows you exist, knows what you do and does not confuse you with a similarly named company. Entity work is about making that identity consistent and verifiable across the web.
What this tool does and does not do
Let us be straight before you run it. This tool searches two public knowledge bases, Wikidata and Wikipedia, and tells you whether your brand name has a record in either. It cannot read Google's Knowledge Graph, because that is private with no public lookup. A low score here does not prove you have no knowledge panel, and a high score does not guarantee one. What you get is a clear read on the two open sources AI systems draw entity data from.
Entity clarity checklist
Work down this list before you worry about Wikidata.
Why AI engines need to know who you are
When someone asks an AI for a recommendation, the engine has to decide which business the name refers to before it can say anything useful about you. If three companies share your name, or your details differ between your site, your Google Business Profile and directory listings, the engine has a choice to make and it may pick wrong or say nothing. Entity clarity removes that ambiguity.
Wikidata is an open database
Wikidata is a free, collaboratively edited knowledge base run by the Wikimedia Foundation, holding over 100 million items. It is machine-readable, which is why search and AI systems use it. Google migrated its old Freebase data into Wikidata, which is part of why it carries weight.
Most local businesses will never be in it
And that is fine. Wikidata and Wikipedia both require notability, which a normal dentist, roofer or salon will not meet. Creating a page for yourself usually gets it deleted. This is exactly why the score here is only part of the picture and the recommendations focus elsewhere.
Four things that build your entity without Wikipedia
Almost everything that makes an AI engine confident about who you are is under your own control, and none of it involves editing an encyclopedia. It comes down to saying the same thing about yourself everywhere, marking it up so machines can read it, and being mentioned by sources that are not you.
Organization schema with sameAs
Add Organization schema to your homepage with your legal name, address, phone and logo, then use the sameAs property to list your Google Business Profile, Facebook, LinkedIn and any directory profiles. This is the clearest way to tell a machine that all those accounts are one business.
One exact name, everywhere
Pick the exact business name you want to be known by and use it identically on your website, your Google Business Profile, your invoices and every directory. Not Smith Plumbing on one and Smith Plumbing LLC on another. Small differences are what make an engine unsure it is looking at one company.
A real about page
Write an about page that states plainly who founded the business, when, where it operates and what it does. Name the owner. AI engines quote pages that make simple factual claims in plain sentences far more readily than pages that open with a slogan.
Mentions you did not write
Local news, a chamber of commerce listing, a supplier's partner page, a trade association directory. Independent sources describing your business in their own words are what turn a name into a known entity. One good local news mention does more for you than a stack of self-published profiles.
What the number actually means
The score reflects presence and match quality in two databases, nothing more. Treat it as a yes-or-no with nuance rather than a grade. If you are a well-known brand and you score low, there is a genuine gap worth fixing. If you are a local business and you score low, that is the expected result and the recommendations are where the value is.
Exact match versus near match
We flag whether the record found is an exact name match or only a close one. A near match often means we found a different company with a similar name, which is useful in itself: it tells you exactly the confusion an AI engine would face when someone searches for you.
When a Wikidata item is worth pursuing
If your business has independent coverage already, a Wikidata item can be legitimate. The bar is verifiable sources that are not yours: news articles, published records, an association register. Without those, an item will be challenged and removed, and the attempt costs you time you could spend on citations and reviews.
Entity & Knowledge Panel Checker FAQ
Does this tool check my Google Knowledge Panel?
Should I create a Wikidata item for my business?
How do AI systems use Wikidata and Wikipedia?
My brand scores zero. What should I do first?
What is sameAs and why does it matter?
Is entity SEO worth my time as a small local business?
Other free tools worth a minute
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