Entity SEO gives search engines and AI one clear identity for your business, so they match who you are, what you do and which facts belong to you. It works on the facts about your business: the name, the address, the founder, the services and the profiles that confirm them. Aemorph's SEO service puts this entity first. People search "entity seo" about 2,100 times a month worldwide (Ahrefs, November 2026).
Optimises SEO for your business with Aemorph
Entity SEO Gives Your Business One Clear Identity
Entity SEO is the practice of stating the facts about your business the same way across your pages and profiles, so search engines and AI have one consistent set of facts to match. An entity is a distinct thing such as a company, a person, a place or a product. A business that gives its name, address and founder in the same words on its pages and profiles is easier to match. A business that varies those facts is easier to confuse with another.
What counts as an entity for a business?
Your company, your founder, your products and your office locations each count as an entity. Each one has attributes: a name, a date, a place and a role. Each one connects to the others. Aemorph is an entity, and its headquarters in Singapore is one of its attributes. Kevin Dam is a second entity, a person, linked to Aemorph by the founder property.
How is entity SEO different from semantic SEO?
Entity SEO fixes the identity of the specific things in your market, while semantic SEO covers the meaning of the whole topic around them.
| Practice | Question it answers | Main work | Output | Main risk |
|---|---|---|---|---|
| Entity SEO | Who is this business, and which facts are true of it? | Matching facts, structured data and profiles | One consistent identity | Conflicting facts across sources |
| Semantic SEO | What does this topic cover, and what do buyers ask about it? | Topic maps, question pages and internal links | A complete group of pages | A topic map left incomplete |
How semantic SEO relates to entity SEO.
The two support each other. Aemorph's semantic SEO guide covers the topic side.
How much do people search for entity SEO?
Worldwide, people search for "entity seo" about 2,100 times a month, and the four related terms add 2,100 more. Aemorph checked these terms in Ahrefs Keywords Explorer, which reports each volume as monthly searches. A page earns a share of those searches as visits.
| Measure | Figure | Market | Date | Source |
|---|---|---|---|---|
| Searches for "entity seo" | 2,100 a month | Worldwide | November 2026 | Ahrefs |
| Searches for "knowledge graph seo" | 1,000 a month | Worldwide | November 2026 | Ahrefs |
| Searches for "entity based seo" | 600 a month | Worldwide | November 2026 | Ahrefs |
| Searches for "what is entity seo" | 250 a month | Worldwide | November 2026 | Ahrefs |
| Searches for "entity optimization" | 250 a month | Worldwide | November 2026 | Ahrefs |
Engines Match an Entity Using Facts From Many Sources
Search engines match an entity using facts from your site and from other sources, and consistent facts give the match more to work with. Google's launch announcement for the Knowledge Graph on 16 May 2012 said it "understands real-world entities and their relationships to one another: things, not strings" (Google). Facts that repeat in matching form across sources give an engine more to compare.
Which facts identify a business?
A fact sheet for a business lists seven facts: legal name, trading name, address, founder, founding year, service list and official profile links. Write each fact as a short sentence on your About page. Add the same facts to your structured data. Check that the profiles you own repeat them in the same words.
Why do conflicting facts weaken recognition?
Conflicting facts make the match harder. An engine which meets two spellings of a company name, or two addresses for the same location, holds the match as less certain. A business with several real locations lists each one consistently. Google Search Central's Organization guide describes Organization structured data as a way to help Google understand an organisation's administrative details and disambiguate it in search results. One spelling, and one address for each location, across your sources give an engine less to reconcile.
How does Wikidata help an entity?
Wikidata is a public database of entities, and an entry for your business gives engines a record to match against. Wikidata is a free, collaborative, multilingual knowledge base maintained by the Wikimedia community. It runs its own notability policy, so read the Wikidata notability page before you create an entry. Entity SEO complements Wikidata entity linking, which ties public identity records to one consistent identity.
Source: Aemorph working model, November 2026
An Identifier Ladder Orders the References That Identify a Business
Aemorph groups the references that identify a business into five rungs: registry records, standardised identifiers, knowledge-base records, platform profiles and website markup. The properties in the table come from Google's Organization guide (Google Search Central), except identifier, which comes from the Schema.org vocabulary.
| Rung | Example | Issued by | Markup property | Check |
|---|---|---|---|---|
| 1. Registry record | A company registration number, a tax number or a VAT number | A government registry or tax authority | identifier for a registration number, taxID for a tax number, vatID for a VAT number | The number matches the registry entry and, for taxID, the country in the address |
| 2. Standardised identifier | An LEI, a D-U-N-S number or an ISO 6523 code | A standards or data body | leiCode, duns, iso6523Code | The code matches the issuer's record |
| 3. Knowledge-base record | A Wikidata item | The Wikimedia community | sameAs | The item describes the same organisation |
| 4. Platform profile | A Google Business Profile or a LinkedIn page | The platform | sameAs | The profile repeats the fact sheet |
| 5. Website markup | Name, logo, alternate name and founding date | The business itself | name, logo, alternateName, foundingDate | The markup repeats the fact sheet |
Five rungs of the identifier ladder that support entity SEO.
Google's guide asks for a taxID value that matches the country in the address, and it points an LEI and a D-U-N-S number to the iso6523Code property with the prefixes 0199 and 0060. A small business holds some of these rungs and not others. Start with the rungs you hold.
Does Organization markup guarantee a result?
No: Google's Organization guide says structured data does not guarantee that a search feature appears, and the guide does not state a ranking effect. Treat the markup as a clear statement of facts. Judge it by the checks in the table.
Source: Aemorph working model, November 2026
A Business Identity Audit Follows One Example Through Its References
An identity audit follows one business through its registered name, its registration number, its official profiles and its website markup, and it records what each reference establishes, where details conflict and how to correct the record. Three sources play different roles. Registries and standards bodies issue the identifiers. Schema.org defines the markup properties. Google's Organization guide documents which Organization properties Google recognises, and it says structured data does not guarantee a search feature.
What does a worked identity audit look like?
A worked audit lists each reference, the conflict it reveals and the correction, in the order that settles the registry facts before the profiles and the markup repeat them. Aemorph invented the audited business, and its values are placeholders that show the method.
| Reference | What it establishes | Example conflict | Correction | Check after fixing |
|---|---|---|---|---|
| Registered name | The legal name on the registry | The footer shows a shortened name | Copy the registry spelling into the footer, the About page and legalName | The three places match the registry |
| Registration number | The registry number that ties the business to its record | The footer number differs from the registry entry by one digit | Copy the number from the registry into the footer and the identifier property | The number matches the registry entry |
| Official profiles | The business's own accounts on other platforms | A Google Business Profile shows a previous street address | Update the profile, then confirm the sameAs link | The profile repeats the fact sheet |
| Website markup | The facts the site states in code | Organization markup carries a trading name the page does not show | Show the name on the page or remove it from the markup | The markup matches the visible text |
An identity audit of an invented business.
When you decide which questions your pages answer, Aemorph's semantic SEO guide shows the topic coverage audit.
Six Steps Build a Recognisable Entity
Six steps build an entity: write a fact sheet, publish the facts, add structured data, link your profiles, match third-party sources and cover your topics.
| Fact | Where it lives | Markup property | Documented by | Check | When to update |
|---|---|---|---|---|---|
| Legal and trading name | About page, footer, profiles | name, legalName | The spelling is identical on the sources you control | After a name change | |
| Address | About page, contact page, listings | address | Listings repeat one format | After any move | |
| Founder | About page, founder page | founder | schema.org | The founder page links back to the company | After a leadership change |
| Official profiles | Footer, About page | sameAs | A link opens the matching profile | After any profile change | |
| Description | About page | description | The wording matches the About page opening | After any service change |
Facts to align when you build entity SEO.
1. Write one fact sheet
List the facts about the business in one document, and treat it as the source for later pages. Include the legal name, trading name, address, founder, founding year, services and profile links. Review it each quarter.
2. Publish the facts in plain sentences on the About page
State each fact in a short sentence with a clear subject, verb and object. "Aemorph is an SEO, AEO and GEO consultancy headquartered in Singapore" gives an engine a fact to lift whole. Keep slogans away from the place where a fact belongs.
3. Add Organization and Person structured data
Add JSON-LD that repeats the visible facts, and take each property from the right source. Use the properties in Google's Organization guide, such as name, legalName, address, sameAs and description. The founder property and Person markup come from the schema.org vocabulary, and Google documents Person markup for specific features such as profile pages. Google uses structured data to understand the content of a page and recommends JSON-LD (Google Search Central).
4. Link your official profiles with sameAs
Use the sameAs property to point to the profiles you control, such as your LinkedIn page and your Google Partner listing. A matching public profile is a valid identity reference under sameAs in the schema.org vocabulary. Link profiles that exist and repeat your facts.
5. Match the facts on third-party sources
Update the directories, listings and profiles you have access to so that the name, address and founder match the fact sheet. Start with the sources you control, then request fixes where you do not. Record each source and the date you checked it.
6. Build topic pages around the entity
Publish pages on the topics you want people to know the business for, and tie each page back to the entity. Entity SEO fixes identity, and the topic pages show what that identity covers. Aemorph's semantic SEO guide covers how to map those topics. Entity SEO is one method inside SEO as a whole, and Aemorph's plain-English guide classifies SEO into its main parts.
Four Tools Check Your Entity Setup
Four tools check an entity build: Google Search Console for performance and brand queries, the Rich Results Test and the Schema Markup Validator for markup, and Ahrefs Keywords Explorer for search demand.
| Tool | What it shows | Best for | Opens at | Used when |
|---|---|---|---|---|
| Google Search Console | Clicks, impressions, CTR and average position by query and page, with a branded queries filter for eligible properties | Monitoring brand queries and the pages they reach | Search Console, Performance report | After step 5 |
| Rich Results Test | Which rich result types Google supports for the markup on a page | Checking rich result eligibility of Organization markup | search.google.com/test/rich-results | Step 3 |
| Schema Markup Validator | A test run on the schema.org markup of a page or snippet | Checking markup syntax | validator.schema.org | Step 3 |
| Ahrefs Keywords Explorer | Volume, difficulty and Parent Topic where one exists | Checking demand for entity terms | ahrefs.com/keywords-explorer | Before step 6 |
Tools for checking an entity build.
How do you monitor recognition in Search Console?
Use the branded queries filter to watch brand searches over time, and read the trend as a monitoring aid that does not prove recognition. Google announced the filter on 20 November 2025. It uses AI assistance to sort queries into branded and non-branded, and it is available to eligible properties with enough query and impression volume (Google Search Central). Record the branded clicks and impressions each quarter beside the date of any change to the fact sheet.
Entity SEO Supports Google AI Overviews and AI Chat Answers
Entity SEO supports Google AI Overviews through standard SEO practice, and it supports AI chat answers by giving each surface the same facts about your business. Google states that the best practices for SEO remain relevant for AI Overviews and AI Mode, and that no additional requirements apply. Its guidance adds that "there's also no special schema.org structured data that you need to add" (Google Search Central). A clear entity gives every surface the same facts to work from.
Do AI chats use the same entity facts?
Yes: when ChatGPT, Claude, Gemini or Perplexity retrieve sources to answer a question about a business, the retrieved pages shape the answer, so the facts on those pages reach the reply. AEO earns a place in Google AI Overviews, and GEO earns citations in the four AI chats. Matching facts raise the chance of a correct brand answer. Aemorph's GEO guide explains the citation side.
Is a missing Knowledge Graph entry the only gap?
No: a missing Knowledge Graph entry is one gap among several, and the others are conflicting facts, thin About pages and absent profiles. Check the facts first. Aemorph's separate guide mitigates a missing Knowledge Graph entity in depth.
Source: Aemorph working model, November 2026
Five Mistakes Break Entity SEO
Five mistakes break entity SEO: using several names, leaving facts out of the visible text, marking up facts the page does not show, linking profiles that do not match and treating entity work as a one-off.
| Mistake | What it looks like | Why it breaks recognition | How to check | How to fix |
|---|---|---|---|---|
| Using several names | The legal name appears in more than one spelling | Two spellings leave the match less certain | Search the site and the profiles for each variant | Pick one spelling for the legal name and one for the trading name |
| Leaving facts out of the visible text | A fact sits in the markup and nowhere on the page | Markup alone does not replace plain sentences on the About page | Read the About page for each fact on the fact sheet | State each fact in a short sentence on the About page |
| Marking up facts the page does not show | The markup carries a trading name or address the page omits | Structured data has to match the visible text | Compare each marked fact with the page | Show the fact on the page or remove it from the markup |
| Linking profiles that do not match | A sameAs link points to a profile with an old address | The linked profile conflicts with the fact sheet | Open each sameAs link and compare it with the fact sheet | Update the profile, then confirm the link |
| Treating entity work as a one-off | The fact sheet has no review date | Facts change after a move, a rename or a new service | Check the date of the last fact sheet review | Review the fact sheet each quarter |
Five mistakes that break entity SEO.
Source: Aemorph working model, November 2026
Turn Entity SEO Into Recognition With Aemorph
Entity SEO pays off when your sources state the same facts about your business. The identity audit finds a conflict in each of its four references, and a live business holds many more references than four. Aemorph's SEO service optimises SEO through entity SEO by resolving those conflicts across your pages and profiles. Start with a strategic conversation, where Aemorph prompts ChatGPT, Claude, Gemini and Perplexity for your current brand answers.
Sources: Google, November 2026 and others