SameAs
SameAs helps search engines and AI systems recognize that different web pages and profiles all represent the same business, person, or organization.
Imagine meeting someone who introduces themselves as:
- Bob on LinkedIn
- Robert on Facebook
- Rob on YouTube
- Bobby in the local chamber directory
They're all the same person.
But if nobody explains that, it creates unnecessary confusion.
SameAs exists to reduce that confusion.
What Is SameAs?
SameAs is an entity relationship.
It tells machines that multiple URLs all refer to the same thing.
For example, a business might have:
- its official website
- a LinkedIn page
- a YouTube channel
- a Google Business Profile
- a Bing Places listing
- a Crunchbase profile
Those are different web pages.
They should all represent the same organization.
Why SameAs Matters
Search engines constantly compare information from many sources.
If they can confidently determine those sources describe the same business, they can build a stronger understanding of that entity.
SameAs helps reinforce those relationships.
It is one piece of the evidence.
Not the whole case.
SameAs Supports Knowledge Graphs
Knowledge Graphs are built from entities and relationships.
SameAs creates one of those relationships.
It helps answer questions like:
- Is this LinkedIn page official?
- Does this YouTube channel belong to the business?
- Is this profile connected to the organization?
The easier those questions become to answer, the easier the entity becomes to understand.
Official Profiles Matter
Not every mention of your business belongs in SameAs.
Generally, SameAs should point to official profiles or highly authoritative references.
Examples include:
- YouTube
- Google Business Profile
- Bing Places
- Crunchbase
- GitHub (when relevant)
- Wikidata (when applicable)
- Wikipedia (when applicable)
Notice the pattern.
These are profiles you own or authoritative references that clearly identify the same entity.
SameAs Is Not a Collection Hobby
Let's be honest.
Some people treat SameAs like Pokémon.
"Gotta catch every directory."
That's not the point.
Quality matters far more than quantity.
Five accurate official profiles are better than fifty questionable ones.
Consistency Is More Important Than Volume
SameAs works best when every profile agrees on the basics.
| Business Information | Should Match? |
|---|---|
| Business name | Yes |
| Website | Yes |
| Phone number | Yes |
| Address (when applicable) | Yes |
| Brand identity | Yes |
The more consistent those details become, the easier Entity Resolution becomes.
SameAs Is Not a Ranking Trick
We occasionally hear someone say:
"If I add SameAs, will I rank #1?"
No.
SameAs is not a shortcut.
It helps search engines understand relationships.
Understanding can improve confidence.
Confidence can support visibility.
But there is no direct "SameAs boost."
SameAs and Structured Data
SameAs is commonly used inside Organization Schema and Person Schema.
That allows businesses to identify official profiles in a machine-readable format.
This page explains the concept.
The implementation details are covered in SameAs Schema.
Common SameAs Mistakes
- Linking to unofficial fan pages.
- Including outdated profiles.
- Using different business names across platforms.
- Pointing to duplicate business listings.
- Adding low-quality directory pages just to make the list longer.
More links do not automatically create more trust.
Better links usually do.
How Firm IQ Uses SameAs
At Firm IQ, SameAs is part of a larger entity strategy.
We connect official business profiles so search engines and AI systems can more easily understand they all represent the same organization.
That supports:
- Knowledge Graph understanding
- Entity Confidence
- Entity Resolution
- AI recommendations
- consistent business identity
SameAs does not replace good documentation.
It reinforces it.
Here's what we've learned: SameAs works best when it confirms information that is already clear everywhere else. It should reinforce understanding, not try to create it from scratch.