Entity SEO is the work of making Google and AI answers recognise your brand as one specific thing, with the right facts attached. Search engines don't file your company under a keyword. They file it as an entity: a named thing with an ID, facts and links to your products, founders, parent company and category. Winning comes down to three moves. Publish one set of facts on your own site and mark them up with schema that matches the page. Then get independent sources to repeat them.
I'm Brenden House. I run Searchmaxxed, an SEO and AI SEO agency, and entity mapping is one of the first jobs in our AEO work. This guide is for marketing and growth leads at B2B SaaS, venture-backed, enterprise, manufacturing and public-sector organisations. The problem is rarely obscurity. Usually the machines have you slightly wrong.
In summary
- An entity is one thing a search engine can tell apart from everything else sharing its name. Google's Knowledge Graph holds billions of facts about entities, according to Google's own help page.
- AI answers name brands they can confirm. ChatGPT with search reads far more pages than it cites, and it leans hardest on third-party pages it already trusts about your category.
- The work is one fact record and one "entity home" page, plus matching schema and outside sources that agree with it.
- You can't apply for a Knowledge Panel. Google builds one once enough public information exists, and only then can you claim it and suggest changes to what it shows.
- Mergers, rebrands, sub-brands and common-word names are where B2B entities break. Fix those first.
What is an entity in SEO?
An entity in SEO is one distinct, identifiable thing: a company, product, person, place or idea. Google keeps entities and the facts that link them in its Knowledge Graph. That's how it can answer "who makes this?" instead of matching the words in your query to the words on a page.
Google launched the Knowledge Graph in May 2012 under the line "things, not strings". Google's announcement said it held "more than 500 million objects, as well as more than 3.5 billion facts about and relationships between these different objects". Google's help page on how the Knowledge Graph works now calls it "our database of billions of facts about people, places, and things."
The terms, in one line each:
- Entity: one thing a search engine can tell apart from others sharing its name.
- Knowledge Graph: Google's entity database.
- Knowledge Panel: Google's entity fact box.
- KGMID: the ID Google gives each Knowledge Graph entity, which the Knowledge Graph Search API returns for every match it finds.
- Entity home: the one page on your site that states the official facts about your organisation, usually the About page.
- sameAs: a schema property listing your official profiles elsewhere.
- Disambiguation: telling apart same-name entities.
- Corroboration: other sources stating your facts.
Picture your brand as a dot with lines running out to each of your products, founders and markets, your parent company and your category. Entity SEO makes every one of those lines correct and visible to anything that reads the web, from Google to ChatGPT.
How is entity SEO different from keyword SEO?
Keyword SEO matches a page to the words people type. Entity SEO makes sure the engine knows which company or product those words point to, and trusts the facts about it. You need both.
| Keyword SEO | Entity SEO | |
|---|---|---|
| What it targets | A search phrase | A thing: your company, products and people |
| The question it answers | Does this page match the query? | Does the engine know who you are, and believe it? |
| Where the work happens | Mostly your own pages | Your pages, your schema and other sites |
| What breaks it | Thin or off-topic pages | Conflicting names, facts and profiles |
| How you check it | Rankings and clicks | Your brand search, Knowledge Panel and the AI answers about you |
Semantic SEO sits between them. It covers a topic so completely that the engine understands what the page is about, through its related entities and terms. Entity SEO aims that same thinking at your own brand.
How do Google and AI answers work out who your brand is?
They compare what you say about yourself with what other sources say, then go with the version that agrees. Your website is one voice in that vote, and press, review sites, registries, profiles and comparison pages make up the rest of it.
Google is open about its sources. Its help page lists public sources, licensed data and content owners who suggest changes to panels they've claimed. On panels, it's blunt: "Knowledge Panels are created automatically by Google Search Algorithm when there is enough information available on the open web."
AI answers with search on work the same way, only faster and with fewer sources per answer. We tested this ourselves in October 2026.
We put 300 Australian agency-buyer questions to ChatGPT three times each, with search on. It pulled 17,870 search results into those 900 answers and kept 4,389 as sources. Being found is the easy part. About three in four results it reads never make the answer.
The sources it kept clustered hard:
Across 900 ChatGPT answers about Australian agencies, a single third-party "best agencies" site was cited in 168 of them. The next three were a second listicle, Semrush's agency directory and Clutch. If you want to be recommended, the job is getting onto the handful of pages the model already trusts.
That test covered agencies. Treat it as a pattern, not a law for your category. When a buyer asks ChatGPT for the best tools in your category, the answer leans on pages it already trusts. Those may not include yours. If those pages describe you wrongly or leave you out, the answer will too.
| System | Where it gets facts about your brand | What you can influence |
|---|---|---|
| Google Knowledge Graph | Public sources, licensed data, feedback on claimed panels | Your site, your schema, a claimed panel, and the sources that describe you |
| Google AI Overviews and AI Mode | Indexed pages Google can show with a snippet | Crawlable, clear pages on your site, plus coverage on other sites |
| ChatGPT search | Live search results, crawled by OpenAI's OAI-SearchBot | Your robots.txt, your pages and the third-party pages it reads |
| A model answering without search | What it learned in training | Only how consistent the record about you has been over time |
One technical check belongs here. OpenAI's crawler documentation says sites that block OAI-SearchBot "will not be shown in ChatGPT search answers, though can still appear as navigational links". Firewall and CDN bot rules can block AI crawlers without anyone in marketing knowing. Check yours before you touch anything else.
Why does entity SEO matter more for B2B, enterprise and public-sector brands?
Your name is more likely to be confused, split or out of date than a consumer brand's. Complex businesses rename products and buy competitors, and every one of those changes leaves a trail of old facts across the web.
Five patterns cause trouble again and again in complex organisations:
- Common-word names. A SaaS company named after an everyday word competes with the dictionary, other companies and sometimes a city.
- Mergers and acquisitions. The acquired brand lives on in press coverage, review profiles and old partner pages long after the logo changes.
- Parent brands and product brands. A manufacturer sells under a group name, three product brands and a distributor's label, and engines can't always tell which one makes what.
- Public-sector renames. An agency changes its name in a restructure, and half the web keeps the old name, the old minister and the old address.
- Leadership changes. Old executives linger in stale profiles.
Here's how that plays out, in a made-up but typical case. Take a venture-backed payroll software company that merged with a competitor and took a new name. Two years later, ChatGPT still describes it under the old name and credits the old founder. It even lists a product the company retired. Its own site is perfect. The problem lives in a funding database profile, two review-site listings and a 2023 press release that outrank its About page for its old name.
Its site can't fix that. The fix is a single fact record, plus schema that lists the old name as a former name. Then the outside sources need updating. This is why we map the entity before we write a single AEO page.
How do you do entity SEO, step by step?
Entity SEO takes eight steps, and the first four happen on your own site: the fact record, the entity home, page clean-up and schema. The last four are profiles, coverage, topic depth and checking the answers. Order matters.
1. Write one canonical fact record
Write down every fact an engine should know about you, in one document, before you change anything public. Most entity problems start right there: marketing, sales and investor relations each hold a slightly different version of the company.
Here's the fact sheet I'd start with. The example column is a made-up B2B SaaS company.
| Field | Example | Where it must match |
|---|---|---|
| Legal name | Example Payroll Pty Ltd | Footer, privacy policy, schema legalName, company registry |
| Brand name | Example | Site header, schema name, every profile |
| Former names | PayCo (until 2024) | About page, schema alternateName, press page |
| One-line description | Payroll software for mid-sized employers | Homepage, meta description, every profile bio |
| Category | Payroll software; HR software | Product pages, review-site categories |
| Parent and sub-brands | Parent: Example Group. Product: Example Time | Schema parentOrganization and brand, About page |
| Founders and leaders | Names, roles, LinkedIn URLs | Leadership page, schema founder, press bios |
| Founded | 2017 | About page, schema foundingDate, funding profiles |
| Markets | Australia, New Zealand, United States | Market pages, schema areaServed |
| Identifiers | Company number, tax ID, LEI if you have one | Schema taxID or leiCode, legal pages |
| Official profiles | LinkedIn, Crunchbase, G2, GitHub, app marketplaces | Schema sameAs, footer links |
Write the one-line description with more care than anything else on the sheet. It's the sentence you want AI answers to repeat, so put your category words in it plainly.
2. Give the facts one home on your site
Pick one page as your entity home and state every fact from the record there in plain sentences. For most companies that's the About page. It should name the company, the category, the founders, the parent company, the former names and the markets, in words a person can read.
The entity home is what your sameAs profiles point back to, and what your Organization schema describes. Link to it from every page's footer.
3. Make every page you own agree
Search your own site for every version of your name, old product names and the old tagline. Then fix them all. Check the footer, the privacy policy, author bios, the press page, careers pages, PDFs and the help centre.
This is where large sites leak. A help centre on a subdomain, built by a different team, can carry the old company name for years.
4. Add schema that matches the page
Add Organization schema to your homepage or entity home, and Product or SoftwareApplication schema to product pages, all joined with @id references. Google says Organization markup "can help Google better understand your organization's administrative details and disambiguate your organization in search results" (Google Search Central).
A trimmed JSON-LD example, for the made-up company:
``json { "@context": "https://schema.org", "@graph": [ { "@type": "Organization", "@id": "https://www.example.com/#organization", "name": "Example", "legalName": "Example Payroll Pty Ltd", "alternateName": "PayCo", "url": "https://www.example.com/", "logo": "https://www.example.com/logo.png", "foundingDate": "2017", "description": "Payroll software for mid-sized employers.", "parentOrganization": { "@type": "Organization", "name": "Example Group" }, "founder": { "@type": "Person", "name": "Jane Citizen", "sameAs": "https://www.linkedin.com/in/example" }, "sameAs": [ "https://www.linkedin.com/company/example", "https://www.crunchbase.com/organization/example", "https://www.g2.com/products/example" ] }, { "@type": "SoftwareApplication", "@id": "https://www.example.com/payroll/#software", "name": "Example Payroll", "applicationCategory": "BusinessApplication", "publisher": { "@id": "https://www.example.com/#organization" } } ] } ``
Match the markup to the page. Google's structured data guidelines say: "Don't mark up content that is not visible to readers of the page."
5. Fix the profiles you control
Bring every official profile into line with the fact record: LinkedIn, Crunchbase, G2, Capterra, app marketplaces, GitHub, partner pages and registries. Same description, category, founders and URL everywhere.
These accounts are yours to fix. Start with whichever profiles show up on page one for your brand name and your former names.
6. Earn independent coverage
Get independent sites to describe you in their own words, using the facts in your record. That means trade press, analyst and industry reports, partner announcements, conference pages, podcasts, comparison articles and the "best tools" lists in your category.
This is the corroboration step, and the slow one. Your own site takes an afternoon, but coverage runs on other people's calendars. Expect months.
7. Build topic depth around your core entities
Connect your brand to its topics with a topic cluster. Build product, use-case, integration, industry and comparison pages, and link them to each other with descriptive anchor text. Picture an engine that finds 40 well-linked pages on payroll compliance from one company. It has a clear idea of what that company does.
8. Check what the answers say, then repeat
Run the same brand checks every month and fix whatever drifted. The next section shows how.
Does schema markup help entity SEO?
Yes, schema markup helps engines identify and separate your organisation from others, and Google says so directly. Schema describes the facts, though. It doesn't prove them, so it works only when the page and outside sources say the same thing.
Two limits are worth knowing. Google's AI features guidance says a supporting link must be "indexed and eligible to be shown in Google Search with a snippet". It adds: "There are no additional technical requirements." So schema is no AI switch. And schema that claims facts your page doesn't show breaks Google's guidelines.
The properties that matter most:
| Property | What it tells the engine |
|---|---|
@id | A fixed ID for your organisation, so other markup can refer to it |
name, legalName, alternateName | Your brand, legal and former names |
sameAs | Your official profiles on other sites |
logo | Which logo to show in results and your Knowledge Panel |
founder, parentOrganization, brand | Who runs you, who owns you, what you sell under |
taxID, leiCode, duns, naics, iso6523Code | Official identifiers that set you apart from similar names |
Google's Organization documentation lists iso6523Code and naics among the properties "used behind the scenes to disambiguate your organization from other organizations".
How do you get a Google Knowledge Panel for your brand?
You can't apply for one. Google creates one on its own once enough public information exists about your organisation, then lets an official representative claim it.
Here's what Google's help pages say:
- Panels appear "automatically by Google Search Algorithm when there is enough information available on the open web."
- If you represent the entity, you can get verified on Google and suggest edits. Back each edit with links to supporting pages.
- Businesses with a physical location use a Google Business Profile instead, which is the right fit for a manufacturer's plant or a public office.
- A panel can stop showing. Google says when and where a panel displays "happens automatically and isn't something we can or would influence."
The route to a panel is steps 1 to 6: more consistent facts from more independent sources, until Google has enough to build one.
Do you need a Wikipedia page or a Wikidata entry?
No, you don't need either to be understood as an entity, though both help when you qualify for them. Most growth-stage companies don't qualify yet.
Wikipedia's notability guideline for companies) asks for "significant coverage in multiple reliable secondary sources that are independent of the subject". Your own press releases and blog posts don't count, because they aren't independent of you.
Wikidata's bar is lower. An item qualifies if it is "a clearly identifiable conceptual or material entity that can be described using serious and publicly available references". For a funded company with real press coverage, that's often within reach.
Chase coverage first, and the encyclopedia entries tend to follow. A Series B SaaS company with ten trade articles about it has a stronger entity than a rival with a Wikipedia stub that gets deleted.
How do you check what Google and AI answers think your brand is?
Search your brand on Google and ask four AI engines five questions about you. Then compare every answer with your fact record. It takes about 30 minutes, and it points straight at the sources feeding the wrong facts.
- Search your brand on Google. Try your name, your name plus your category, your name plus "reviews" and each former name, noting the panel and which third-party pages rank.
- Check the Knowledge Graph. Run your name through the Knowledge Graph Search API and see whether you come back, and with what description.
- Ask the AI engines. Put five prompts to ChatGPT, Gemini, Perplexity and Google AI Mode:
- "What is [brand]?" - "Who owns [brand]?" - "What does [brand] sell, and who is it for?" - "[brand] vs [main competitor]" - "Best [category] for [your buyer]"
- Score each answer against your fact record. Label every fact correct, out of date, wrong or missing, and note the source the engine gave for it.
- Trace every wrong fact to its source. The page the engine cites is usually the culprit, so fix it there first. Then fix your own pages if they fed it.
| What you see | Likely cause | Fix |
|---|---|---|
| The answer uses your old name | Old press, funding and review profiles | Former name in schema and on the About page; update the profiles |
| The answer confuses you with another company | A common-word name and thin corroboration | Clear category wording everywhere, sameAs, identifiers in schema |
| The wrong founder or CEO | Stale profiles and leadership pages | Leadership page, schema founder, updated LinkedIn and funding profiles |
| You're missing from "best [category]" answers | You're absent from the lists and review sites the engine cites | Coverage on those exact pages, plus comparison pages on your site |
| ChatGPT never cites your site | OAI-SearchBot blocked, or pages hard to parse | Allow the crawler; put the answers in plain text near the top |
AI answers change from one run to the next, so judge a quarter of checks, not one afternoon. Our guide on how to rank in ChatGPT covers the source side in more depth. For your own site, work through the AI search source readiness checklist.
Where does Searchmaxxed fit?
Searchmaxxed is an SEO and AI SEO agency for enterprise, B2B SaaS, venture-backed, manufacturing and public-sector companies. Entity SEO sits inside our AEO service and our GEO work. The aim is simple: when someone asks Google, ChatGPT, Gemini or Perplexity about your company or your category, they get your facts, right.
We start with entity mapping. We map your legal and trading names, former names, parent and brand relationships, and founders and specialists. Then come your products, markets and proof. That becomes the canonical fact record. We use it to align every page on your site and the schema behind them. Does the problem show up mostly when people search your name? Then our brand SERP management work covers the panel, the results and the AI answer for that search.
| Package | Who it suits | What it includes |
|---|---|---|
| Growth System | A company growing in one or two markets | 30 page releases a month, work on up to 4 existing pages, one qualified link action a month, AI visibility tracking |
| Agentic Search Engineering | A crowded or national category | 50 page releases a month, comparison, industry and integration page families, a monthly press release, digital PR and link campaigns, AI answer tracking across ChatGPT, Gemini, Perplexity and AI Overviews |
| Custom & Enterprise | Several brands, several markets or a large site | Scope can include multiple markets, dedicated engineering, custom reporting and original first-party research |
Here's how we do it. We build on a website you own, our Agentic Website. AI agents pull your Search Console and GA4 data, read the Google results and check what AI answers say about you and your competitors. That data feeds the Managed Search Loop. It shows which page, fix or link should bring in the most enquiries next. Off your site, the Off-Page Source Layer covers the links, digital PR and mentions that back up your facts.
Searchmaxxed's work has generated more than A$10 million in revenue through search for its clients.
Is Searchmaxxed right for you?
We're a good fit when your brand has an entity problem with real money behind it, and you want one team on all of it. If you need one schema block or a monitoring dashboard, you'll get better value elsewhere.
| Searchmaxxed is a good fit if | Look elsewhere if |
|---|---|
| A merger, rebrand or common-word name has AI answers describing you wrongly | You only need an Organization schema block; a good developer can add it in an afternoon |
| You run a parent brand with several product brands or markets | You want to watch your AI mentions and change nothing; a visibility tool costs less |
| You want entity work, content, links and digital PR from one team | You want a Wikipedia article before you have the independent coverage to support one |
| You want to own your site, repository, content and data | You need search to fill this month's pipeline on its own |
| AI shortlists in your category influence large deals | Nobody in your market asks AI tools for recommendations yet |
Frequently asked questions
What is an example of an entity in SEO?
Your company is an entity, and so are each of your products, founders and offices. Salesforce the company is an entity. Its CRM product is another, and "made by" is the relationship that connects them.
Is entity SEO the same as semantic SEO?
They overlap. Semantic SEO helps an engine understand what a page is about, through its topics and related terms. Entity SEO helps an engine understand who your organisation is, and trust the facts about it.
Does entity SEO help you show up in ChatGPT?
Yes. ChatGPT search reads live pages and keeps sources it trusts, so consistent facts on your site and other sites make you easier to name. It also needs to reach your site, so allow OAI-SearchBot in robots.txt.
What schema do I need for entity SEO?
Start with Organization schema on your homepage or About page, with @id, name, legalName, logo, sameAs and founder. Add Product or SoftwareApplication schema to product pages and Person schema to leadership pages, all linked with @id references.
Can I change what my Knowledge Panel says?
Yes, once you claim it. Google lets an official representative get verified and suggest changes, with links to pages that support each edit. Fix the underlying sources too, or the old facts can come back.
What is a KGMID and how do I find mine?
A KGMID is the ID Google gives a Knowledge Graph entity, and the Knowledge Graph Search API returns it when you search your name. If the API returns nothing, Google probably doesn't hold your organisation as a distinct entity yet.
How long does entity SEO take?
On-site fixes can show up once Google recrawls the page. Corrections that depend on other sites take as long as those sites take to update, and coverage takes months. Judge it over a quarter.
What should you do next?
Start with the fact sheet above, for your own company. Then run the five prompts in four AI engines and list every fact they get wrong, with the source each one cites. That list is your entity SEO plan. If you'd like us to fix it with you, see how our AEO service works. When you're ready, let's talk pricing.