Glossary

What is a knowledge panel?

A knowledge panel is the information box Google shows in search results for an entity it recognizes, such as a business, a person, or a place. Google generates it automatically from its Knowledge Graph, not from any single page. That graph held more than 500 billion facts about 5 billion entities at Google's last public count, and Google's own explainer is plain about where a panel comes from: “information that appears in a knowledge panel comes from a variety of sources across the web.” You cannot write one. You can only earn one.

What does a knowledge panel look like?

You have seen a knowledge panel even if you never had a name for it. Search a well-known company and a tidy box appears with its logo, a one-line description, a founding date, social links, and headquarters. That box is not pulled from any single page. It is assembled by Google from its Knowledge Graph, a database of entities and the facts that connect them. A page is a document. An entity is a thing the document is about. The panel is the engine showing you that it has resolved your site into a thing it understands, not just a stack of words it crawled.

How does Google build a knowledge panel?

The Knowledge Graph does not invent facts. It corroborates them. Google reads your structured data, checks it against authoritative references like Wikidata and Wikipedia, and looks for the same name, address, founders, and description repeated consistently across the web. When enough independent sources agree, the engine becomes confident that the entity exists and that the facts are reliable. At that point it can surface a panel. The three ingredients are worth naming because they are the levers you can actually pull:

• Structured data on your own site, especially Organization or Person schema, tells the engine what you are and states your facts in a form it can parse without guessing.
• Authoritative references such as a Wikidata item, a Wikipedia article, or a well-maintained profile on a recognized platform give the engine an outside source to check your claims against.
• Consistency across the web means the same name, address, phone, and description appear the same way everywhere. Contradictions make the engine less sure, and an unsure engine does not show a panel.

Why does a knowledge panel matter for AI search?

A knowledge panel is a signal, not a trophy. It tells you the engine has crossed a threshold of certainty about your entity, and that certainty is exactly what AI answers run on. When ChatGPT, Google's AI Overviews, or Perplexity describe a company, they lean on the same resolved-entity understanding that produces the panel. If Google is sure who you are, the AI engines are far more likely to name you correctly, attribute the right facts to you, and cite you instead of a competitor or a directory page. No panel does not mean you are invisible, but it usually means the engine is still unsure you are a distinct, established thing, and uncertainty is where wrong attributions and missed citations live.

This is why entity clarity sits upstream of almost everything in AI search. A page can be well written and still fail to get cited because the engine cannot confidently say which entity it belongs to. We cover the full picture in what is answer engine optimization, and the specific repair is in how to fix entity clarity for AI search.

How do you get a knowledge panel?

You cannot file a request for a knowledge panel. You earn one by giving the engine enough corroborating evidence that it resolves your entity on its own. Four moves do most of the work:

• Publish complete Organization or Person schema on your homepage with your name, logo, description, and a sameAs array pointing to your authoritative profiles.
• Create or claim a Wikidata item for your entity so there is a language-independent reference Google can check, identified by a Wikidata QID.
• Make your name, address, and phone identical everywhere they appear, so nothing contradicts the facts in your schema.
• Build genuine, authoritative coverage. Mentions and profiles on recognized sources raise the engine's confidence that you are real and established.

A minimal Organization block with the entity links Google looks for is small enough to add today:

// Organization schema with sameAs entity links
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Company",
  "url": "https://yourcompany.com",
  "sameAs": [
    "https://www.wikidata.org/wiki/Q000000",
    "https://www.linkedin.com/company/yourcompany"
  ]
}

You can build all of this by hand, or paste your link into our AEO checker and let AuditLamp read your site the way the engines do. We report whether your Organization schema is present and typed, whether your entity links resolve, and where your facts contradict each other. When you want the full picture and the fixes in order, run the audit at AuditLamp.

See also

A knowledge panel is the visible result of entity clarity, so the work happens upstream. The step-by-step repair is how to fix entity clarity for AI search, the broader idea is what is entity SEO, and the reference Google checks your facts against is explained in what is a Wikidata QID.