What Is Entity SEO? How It Helps AI Recognize Your Brand

Entity SEO is the work of making your brand one clearly identified thing, with one name, one description and one set of facts, that Google's Knowledge Graph and AI engines can recognize and tell apart from lookalikes. It helps when many independent sources agree on who you are. Markup alone will not do it, because most established brands already have it.

What is entity SEO, and how is it different from keyword SEO?

Entity SEO optimizes your brand as a recognizable thing instead of optimizing pages for phrases. Google described the shift in 2012 as "things, not strings": a keyword is text, while an entity is a company, product or person with a name, a category and relationships to other things.

Keyword SEO still matters, because a page needs words. But a keyword-perfect page cannot tell an engine which of three companies called Atlas you are. That is an entity problem, and only signals outside the page can solve it.

	Keyword SEO	Entity SEO
Unit	A page	The brand
Core question	What is this page about?	What is this thing, and who says so?
Fails when	The wrong words are used	The brand is ambiguous, inconsistent or unmentioned

What is a knowledge graph, and does it matter for AI answers?

A knowledge graph is a database of entities (nodes) joined by relationships (edges), each with attributes, so software can look facts up instead of matching words (Wikipedia). Google's Knowledge Graph launched in 2012 with 500 million objects and 3.5 billion facts. By 2020 it held over 500 billion facts about five billion entities, drawn from hundreds of sources; Wikipedia is a commonly cited one. Wikidata is the free, open graph.

Google says AI Overviews and AI Mode need no special optimization and no special schema.org markup beyond ordinary Search fundamentals. For ChatGPT, Claude and Perplexity we are not aware of vendor documentation describing a Knowledge Graph lookup, so we treat the graph as a mirror of your entity, not a lever on AI.

What does carry over is research on entity popularity. In PopQA, a 14,000-question test of 10 models, language models struggled with less popular entities, retrieval-augmented models largely beat far larger ones, and unassisted models stayed competitive only on popular entities. A separate ICML 2023 study tied accuracy to how many pre-training documents mention an entity. Both studies date from 2022 and tested older models, so read them as direction: the more consistent, independent text describes you, the better your odds.

How do you check what Google knows about your brand?

Query the Knowledge Graph Search API with your brand name and read the entity it returns. These steps follow Google's documentation as of October 2026.

1. Sign in with a Google Account and use Google's setup tool to create an API Console project and enable the API.
2. Create an API key and restrict it before real use.
3. Send the request below with your brand as query, then read the fields after it.

GET https://kgsearch.googleapis.com/v1/entities:search
  ?query=YourBrand&types=Organization&limit=5&indent=true&key=API_KEY

One caution. Google's page now says it is migrating this API to Cloud Enterprise Knowledge Graph, tells new users to use that product, and calls the legacy API unsuitable as a production-critical service. The newer Basic edition suits non-production community use. Use whichever your project can enable, for one-off checks.

No Google Cloud project? Wikidata's search endpoint needs no key: https://www.wikidata.org/w/api.php?action=wbsearchentities&search=YourBrand&language=en&format=json returns matching items with a label and description. When we ran it for "Stripe" on 3 October 2026, the first two items were the payments company and the generic word "stripe".

Read the response fields like this:

• @id: the entity's canonical URI (kg:/m/0dl567 in Google's sample). No entity for your name is a red flag.
• @type: schema.org types. Expect Organization or Corporation; a Person means you are misfiled.
• description and detailedDescription: check for a stale category. In Google's sample, detailedDescription comes from Wikipedia, so a wrong description often traces to a wrong source.
• resultScore: Google defines it only as an indicator of how well the entity matched the request. Use it to order results within one response. We do not use it to compare brands.

A hit is not a panel, and an empty result is not proof of absence, because the API lists the most notable entities. Lookalikes ranking above you are the signal to act on.

How do you earn and manage a knowledge panel?

You cannot apply for or buy a knowledge panel. Google says panel information generates automatically from public information on the web and that its policy is not to create or delete panels manually.

1. Search your brand and find the panel.
2. Choose "Claim this knowledge panel", at the bottom or under "About", and sign in to an official profile Google lists: YouTube, Search Console, Twitter or Facebook (Google). Not every panel is claimable yet.
3. Use Feedback to flag a wrong fact, say what is wrong and link pages that prove it. Google says it reviews verified feedback within a few days, sometimes longer.

Fix the source, not the panel. Google says descriptions come from various data sources and cannot be edited, and that changing the source usually changes the panel. So correct your About page, your Wikidata item and the profiles you control. The logo property in Organization markup helps Google choose which logo to show in Search and panels, if the file is at least 112x112 pixels and crawlable (Google).

A panel is not a Business Profile. Google says Business Profiles are specific to businesses serving customers at a location or service area, though the two look alike.

If no panel appears, the cause is usually a name shared with a bigger entity, little independent coverage, facts that contradict each other across the web, or no Organization markup. The same weaknesses keep AI from naming you, so we treat the panel as a symptom. Fix the facts and a panel may follow; we found no source that promises a timeline.

What builds a strong brand entity?

Consistency across independent sources builds it; markup only declares it, and most brands declare. In AEOeye's crawler access study (3 October 2026), 129 of 176 SaaS homepages we could parse (73.3%) carried Organization-type schema and 121 (68.8%) had sameAs links.

It is a convenience sample of established brands, fetched once, so read it as "common", not "universal". If most brands already have the markup, it cannot be what separates the brands AI names. Our own homepage lists only two sameAs profiles, so the checklist below applies to us too.

1. One name, one description. Google says to use the same name and alternateName in Organization markup as in your site name, and to add legalName when it differs (Google). Use one short description everywhere you are profiled.
2. Organization markup with sameAs on the homepage. schema.org defines sameAs as a page that "unambiguously indicates the item's identity", such as a Wikipedia or Wikidata page. Link only profiles that exist and match. See our structured data guide and the entity SEO glossary entry.
3. Registry identifiers. Google says some properties disambiguate organizations behind the scenes, such as iso6523Code (prefixes 0060 DUNS, 0088 GLN, 0199 LEI) and naics. Publish one if you have it.
4. Independent corroboration and depth. Reviews, press, directories and communities that describe you the same way. See brand mentions, and publish in depth on your category so the entity is tied to a topic.
5. Wikidata or Wikipedia, only if you qualify. One Wikidata criterion is an item that describes a clearly identifiable entity using serious, publicly available references. Wikipedia's notability rules require significant coverage independent of the subject, so your website and press releases do not count, and its conflict-of-interest policy strongly discourages editing your own article.
6. Fresh facts. Stale facts in one source contradict correct ones elsewhere. If an AI engine states wrong details, see how to fix AI getting your brand wrong.

How do you know AI engines recognize your entity?

Ask them several times and compare the answers with your facts. Run one unbranded buyer question, such as "best [category] for [use case]", and one branded question: "What is [brand], and who competes with it?" Check whether you are named, whether the description and category are right, and which sources are cited.

Repeat each prompt. In SparkToro's January 2026 study (600 volunteers, 2,961 runs), the chance that two ChatGPT or Google AI responses listed the same brands was under 1 in 100, so one answer proves little.

Then act on what you see. Wrong facts mean fixing the source. Absent while competitors are named means building corroboration; our diagnostic on why AI does not mention your brand orders the causes. AEOeye's free audit asks ChatGPT three unbranded buyer questions live and shows the full answers and the competitors named. For daily monitoring across hundreds of prompts, dedicated trackers such as Profound, Peec AI or Otterly do that; we do not.