By Mehdi HassanWhat is entity SEO, and why does a startup need it?
Entity SEO is the work of making search engines and language models understand your company as a single, identifiable thing: a name, a category, a founder, a location, a set of profiles that all agree. Google stores this in its Knowledge Graph, and AI engines build a similar picture from everything they've read about you. If the picture is fuzzy, they hedge, confuse you with a namesake or leave you out.
Startups have it hardest. You're new, your name often collides with a common word or an older company, and you probably don't qualify for Wikipedia. That's fine. Most of an entity is built from sources you control and a few you can claim. If you want the definition alone, see what entity SEO is. This guide is part of our wider playbook on how to structure content so AI engines quote it.
Why do brand mentions matter more than links for AI search?
Mentions of your brand on other sites appear to matter more for AI visibility than backlinks do. In Ahrefs' study of 75,000 brands, web mentions correlated 0.664 with AI Overview visibility, against 0.218 for backlinks and 0.326 for Domain Rating. Branded search volume came in at 0.392. Correlation isn't causation, but the direction is clear.
- Correlation of web mentions with AI Overview visibility (Ahrefs, 75k brands)
- 0.664
- Correlation of backlinks with the same visibility
- 0.218
- Correlation of branded search volume
- 0.392
For entity work, this means each place your company is described is a vote for what you are. A mention only counts toward your entity if the engine can tell it's about you, and that's where consistent names, descriptions and profile links do their job.
How do you build entity SEO for startups, step by step?
Work from the inside out: fix your own site, then the profiles you control, then the sources you can only contribute to. Each step makes the next one easier to verify.
Write one canonical description
Write a 25 to 40 word description that says what you are, who it's for and where you're based, plus a one-line version. Pick one legal name and one brand name. Save them in a shared doc, because every later step copies from it.
Make your About page the source of truth
Put the canonical description, founding year, founders with links to their profiles, location and contact details on one About page. This is the page the schema points to and the page journalists copy from.
Add Organization schema with sameAs
Publish Organization JSON-LD on the homepage with name, legalName, url, logo, description, foundingDate, founder and a sameAs array listing every official profile URL. Follow Google's Organization structured data guidance for the fields.
Claim and align your profiles
Create or update LinkedIn, Crunchbase, GitHub, X, G2 or Capterra, Product Hunt and any industry directory. Paste the same description, logo and URL into each, and link each profile back to your site.
Give founders their own entities
Build author or team pages with Person schema and sameAs links to each founder's LinkedIn and talks. A recognisable founder often anchors a young company. Our guide to author pages for SEO covers the details.
Add a Wikidata item once you have sources
Wikidata accepts items that are notable and backed by references. When you have independent coverage, such as press, a funding announcement in a trade outlet or a conference listing, create an item with your official website, inception date, industry and identifiers like the Crunchbase ID.
Earn third-party descriptions
Pitch podcasts, guest posts, partner pages and comparison roundups. Give each one your canonical description so the mention is unmistakably you.
What should your Organization schema and sameAs include?
Your Organization schema should describe the company in the same words your About page uses and point to every profile that confirms it. Keep it on the homepage, generated from one source so it never drifts from the visible text. Schema is hygiene here, not a ranking trick: Ahrefs' controlled 2026 test found no citation lift from schema alone, which we unpack in does schema help AI citations.
Property | What to put in it | Why it helps |
|---|---|---|
name / legalName | Brand name and registered name | Separates you from namesakes |
description | The canonical description, word for word | Matches what profiles say |
url and logo | Homepage URL and a square logo file | Gives one canonical home |
founder | Person objects with their own sameAs | Connects you to known people |
foundingDate, address | Year and city or country | Disambiguates by time and place |
sameAs | LinkedIn, Crunchbase, GitHub, X, G2, Wikidata | Lists the sources that confirm you |
If you're on Next.js, generate the JSON-LD from the same content object that renders the About page. Our Next.js SEO checklist shows where it belongs in the metadata setup.
Do you need Wikipedia or Wikidata to have an entity?
No. Wikipedia helps established companies, but most startups don't meet its notability rules, and a page written by the company itself tends to be deleted. Wikidata has a lower bar, but it still expects references to independent sources. A self-referenced item can be removed, and a removed item is worse than none.
Treat Wikidata as step six, not step one. Your own site, schema and consistent profiles do most of the work, and they're fully in your control. Add Wikidata when you have two or three independent sources to cite, and keep it factual: no marketing copy, just identifiers, dates and links.
For example, suppose a startup shares its name with a city
For example, suppose a seed-stage analytics company is called Lumen, which is also a common word and an older telecom brand. Search engines have no reason to think a new site is a new entity.
The fix is disambiguation everywhere: the description always says "Lumen, the product analytics platform for mobile teams", the schema adds founder, founding date and city, and every profile uses the same logo and that exact line. Over time, the combination of unique facts separates the startup from the namesakes. This is a hypothetical example, not a client.
How does your website design support entity signals?
The website is where engines check whether the claims add up, so it has to make facts easy to find and quote. That means a real About page instead of a slogan, named founders with photos and links, a visible address or base, and clear customer proof. These are also the trust signals early-stage startups need for human buyers.
- Server-render the facts. Many AI crawlers don't run JavaScript, so the About page and schema should be in the HTML.
- Use the canonical description in the footer or homepage intro, not only on the About page.
- Keep names stable. If you rebrand, update every profile in the same week and keep redirects in place.
- Link out to your profiles from the footer. It's the visible version of sameAs.
How do you check whether your entity is working?
Check it the way an engine would: ask about yourself. Search your brand name in Google and see whether a knowledge panel or consistent sitelinks appear. Then ask ChatGPT, Perplexity and Gemini "What is [company]?" and "Who founded [company]?" every month and note whether the answers match your canonical description.
Wrong answers tell you which source is out of date. If an engine repeats an old tagline, find the profile still using it. If it confuses you with a namesake, add more disambiguating facts. If you're moving platforms, carry the schema across intact, as covered in our guide to migrating metadata and schema.
