ENTITY SEO
Search engines and answer engines organise information by entity rather than by string. When business name, representative, address and contacts are written differently per channel, there is no basis for deciding which company the scattered documents attach to. This is the work of building that basis.
In one paragraph
Entity SEO is the work of organising company information so search engines and answer engines recognise the company as an entity rather than a string. Entity information — business name, representative, address, contacts, founding — goes on your own domain as one set; notation that has split across channels gets bound to the same company; and official channels get connected to each other. It is not about exposing the name more often but about building the basis for deciding which entity scattered notations attach to.
Before an answer engine gathers several documents and writes an answer, it has to settle which company this is about. What gets compared at that moment is not marketing copy but information whose values can be checked — business name, address, phone, identifier numbers. When those disagree, no amount of extra documents merges into one entity, and in bad cases it gets mixed with a similarly named company.
Last verified
WHEN YOU NEED THIS
These are the situations we hear repeatedly in consultations. If any of them apply, start by measuring.
A machine compares business name, address, phone and identifier numbers to judge whether it is the same company, and when the values differ per source there is no basis for choosing. In our own 2026-08-03 review, the old site's footer read "㈜나비랑" while two recruitment sites read "㈜나비랑" and "(주)나비랑" respectively.
When the primary source of company information becomes an external database, values we cannot edit end up describing us. At the outset, the only places our incorporation date could be cross-checked were two recruitment sites.
One legal entity running several sites is common, but where that fact is written nowhere it reads as two separate entities. The fix is not merging the domains but leaving evidence that both addresses are the same legal entity.
Entity information, once spread, remains in external sources after we correct ours. While current and past values are both findable there is no basis for judging which is now, and if the older value appears in more documents that is the one used in the answer.
WHAT WE DO
Written as units of work rather than abstract proposals. The scope of an engagement is set from this list.
Business name, representative, address, contacts and founding get settled as one set and placed on your own domain as an official document. Each value carries its evidence, so whoever asks later can be told where it came from.
The notations actually in use get collected and declared as alternate names of the same entity. It is not forcing notation down to one but recovering the forms already out in the world into one entity.
Only the channels the company actually operates get selected and connected (sameAs). Unverified accounts or social profiles with empty links break entity merging instead, so they are left out.
The about page becomes the single destination for entity information, with service and enquiry pages referring to it. Links have to converge in one place for it to be evident which document is this company's original.
Notations remaining in press, industry directories and recruitment sites get listed, and corrections requested where values disagree. External sources are outside our control, so we first separate what is controllable from what is not.
Values that identify a business nationally, such as a business registration number, go both on screen and in structured data. Even with the name notation split, an identical identifier lets the same company be matched.
PROCESS
What you receive at each stage is stated alongside it. Durations are the working time Navirang controls; they are not a promise about when results appear.
We collect, as-is, the names, addresses and contacts the company is written under across our own site and external sources. The current state is recorded before anything is corrected.
Notation inventory
With the collected notations in view we settle the legal business name and one set of entity information. Where values disagree we check the evidence source to decide which is correct.
Canonical entity record
The settled values go into the screen, the footer, the about page and the structured data in the same form, and internal links are tidied so the company documents refer to each other.
Implementation list
Corrections are requested from editable external sources, with sending and replies recorded. The duration is the time to send the requests; when each source reflects it is their decision, so we do not promise it.
Correction request record
We ask the same questions again to see how search engines and answer engines describe the company. Whether the notations merged is only knowable through repeated checking, not a single edit.
Entity checklist
DELIVERABLES
We do not do work that ends in conversation. The documents below remain, and become the baseline for the next measurement.
How the company name, address and contacts are written, by source. The pre-work state is kept as-is and used as the basis for later comparison.
Business name, representative, address, contacts and founding with their values and evidence sources. Every channel afterwards writes from this document.
Which value from the canonical record went into which position on the site and into which structured data. It shows what has to change together when a value changes.
What was requested from each external source and the reply status. Items not reflected are left recorded as not reflected.
Notation consistency, channel connections, identifiers and external alignment, checked item by item. Re-verification looks at the same items on the same basis.
That the two domains are one legal entity is stated in two places: the channel connection in structured data, and one sentence in the footer. Without a human-readable basis, the machine-facing declaration sits there alone. Empty social links with no account path were not included.
HOW IT CONNECTS
Our work moves as one piece. SEO builds the foundation for being found by search engines, AEO raises the odds of that information being cited in an answer, structured data helps machines understand the facts, and content supplies the evidence there is to cite.
| Area | Relationship to this work |
|---|---|
| Structured data | Moving the settled entity information into a form machines read |
| Brand marketing | The area handling the message rather than the entity — deciding what to say and fitting it to channels |
| AEO audit | The measurement that separates whether the problem is notation or the absence of an answering document |
| Content SEO | Designing the internal structure where company documents refer to each other |
| Citation monitoring | Re-measuring under the same conditions whether the answer engines' description changed after correction |
FAQ
A It is the work of organising company information so search engines and answer engines recognise the company as one entity. They bundle information by entity rather than by string, so when business name, representative, address and contacts differ per channel there is no basis for merging the scattered documents into one company. It is not the work of inserting keywords but of aligning values that can be compared.
A The entity information block uses the registered notation and the on-screen brand notation uses the everyday name. Positions used for matching — footer, about page, structured data — need the registered notation that pairs with the business registration number, while the name used in the body is better as the one people know. The two do not compete: keep one as canonical and declare the rest as alternate names of the same entity.
A From an entity standpoint it helps. It is the primary identifying value for a business in Korea, so even with split name notation an identical number lets the same company be matched. For the representative, though, we do not publish personal information beyond the name.
A There is no need to merge. It is enough to leave the fact that both addresses are the same legal entity. We connect navirang-ai.com and the general online marketing site navirang.co.kr through the channel connection in structured data and a sentence in the footer. Without that marking, an answer engine has nothing but grounds to read the two domains as separate companies.
A That is why controllable and uncontrollable sources get separated first. Where a correction can be requested we request it; where it cannot, we offset it by making our own domain's official document accurate and easy to find. A state where the primary source of company information remains an external database is itself the risk.
A It is not a requirement, and we do not handle entry submissions. Wiki-type sites have their own inclusion criteria, which is not an area we get to decide, and a company without an entry can still be matched through its own domain's official document and public identifiers such as a business registration number. Rather than targeting an external listing we cannot control, the right order is making the places we can edit accurate first.
A It does not guarantee citation. Entity alignment is a necessary condition, not a sufficient one — there also has to be a document that answers the question and external trust signals. In our own audit we classified machine accessibility as passing and authority signals as the bottleneck, and we are measuring that change against a baseline of 40 questions × 7 answer engines = 280 cells.
Send us a URL and we will collect the internal and external notations into an inventory. Once you can see what disagrees, we decide the order of fixing.
We reply within one business day.