Your "About Us" Page Is Useless: Why You Need an "Entity Home" in 2025

Your "About Us" Page Is Useless: Why You Need an "Entity Home" in 2025
TL;DR

Your "About Us" page is full of storytelling. AI crawlers need facts. The fix is an Entity Home: a definitive source-of-truth page built on a dictionary-style definition, a structured fact sheet, sameAs verification, and Organization schema. Stop being a "string." Become an "entity."

In our deep dive on Search Everywhere Optimization, we established a frightening reality: users are no longer clicking links. They're consuming answers generated by AI. To survive, you need to be cited. You need ChatGPT, Perplexity, and Gemini to know who you are, what you sell, and why you matter.

Here's the problem: the AI has no idea who you are.

Open ChatGPT and ask: "Who is [Your Brand Name]?" Unless you're Nike or Coca-Cola, the answer is likely a hallucination, a vague guess, or the dreaded "I don't have enough information about that." Why? You have an About Us page. You have a LinkedIn profile. You've been in business for 5 years.

Your About Us page was written for humans, not machines. It's full of storytelling, mission statements, and fluff. To an AI crawler looking for hard data, it's unstructured noise.

In 2025, you don't need an About Us page. You need an Entity Home. This guide rebuilds your digital identity using Named Entity Recognition (NER), so you control how the AI defines you to the world.

The Identity Crisis in the Vector Space

To understand why your current site is failing, understand how a Large Language Model thinks. LLMs don't have a brain. They have a Knowledge Graph: a massive spiderweb of nodes. One node is "Elon Musk." Another is "Tesla." A line connects them labelled "CEO." That's a fact. When Google or Bing crawls your website, they're trying to extract nodes and lines to add to that graph.

The Problem with Storytelling

Marketing agencies love storytelling. They write About Us pages like this:

Typical About Us Copy

"We are a passionate team of dreamers dedicated to disrupting the beverage industry with soul and sustainability."

From String to Entity: how unstructured About Us storytelling registers as an ambiguous string while a structured Entity Home becomes a verified node in the Knowledge GraphString vs EntityThe same brand, before and after disambiguationSTRING (storytelling)"passionatedreamers..."✕ CEO: unknown ✕ HQ: unknown✕ Product: unknown ✕ Industry: vagueConfidence: low → not added to graphENTITY (fact-anchored)BeanCo@id nodeJane DoePortland2020Coffee✓ Every attribute resolves to a factConfidence: high → cited as source

Because the data is ambiguous, the AI refuses to add you to the Knowledge Graph. You remain a string (just text), not an entity (a known object). If you're not an entity, you can't be cited as a source of truth, and you lose the Share of Model race before it starts.

What is an Entity Home?

An Entity Home is a single page designed to serve as the definitive source of truth for your brand in the Knowledge Graph. It isn't designed to convert a user. It's designed to disambiguate your brand.

In the Search Everywhere ecosystem, there might be fifty companies named "Apex Solutions." If you want Perplexity to recommend your Apex Solutions, prove you're the specific entity located in Austin, founded in 2018, specializing in SaaS.

01
Disambiguation. "We're this specific company, not that one."
02
Reconciliation. "These social media profiles belong to us."
03
Fact feed. "Here are our verified attributes (price, founder, awards)."

The Blueprint: Building Your Entity Home

You don't have to delete your current About Us page, but you have to strictly reformat it (or create a new page like /company-profile) to follow this structure.

1. The Definition Header (H1 + Lead)

Don't use a vague H1 like "Our Story." Use your exact entity name. The first sentence has to be a dictionary-style definition. That's the snippet Google scrapes for its Knowledge Panel.

Bad

"Welcome to the future of coffee."

Good

"BeanCo is a specialty coffee roaster based in Portland, Oregon, founded in 2020 by Jane Doe."

This is the same front-loading principle from The Context Window Economy, applied to identity: the definition has to be in the first 200 tokens.

2. The Fact Sheet (The Data Anchor)

AI models love tables. Tables represent structured relationships (Key = Value). Include a literal HTML table with your core identity data.

Attribute

Value

Legal Name

BeanCo Roasting Ltd.

Founded

2020

Founder/CEO

Jane Doe

Headquarters

Portland, Oregon, USA

Industry

Specialty Coffee / E-commerce

Key Products

Espresso Roast, Single Origin beans

Parent Organization

N/A

This table acts as an anchor, forcing the AI to read the data correctly and reducing the chance it hallucinates your founding date or CEO. One caveat: render the table cleanly, because HTML table markup carries a token cost that can break retrieval, which we quantify in The Token Tax.

3. The sameAs Verification

Explicitly link your Entity Home to your external nodes (social media, Crunchbase, Wikipedia, Wikidata). Don't just use social icons. Use a list explicitly labelled "Official Profiles." This helps the Knowledge Graph reconcile your identity: it tells Google the BeanCo on LinkedIn, the BeanCo on Twitter, and the BeanCo on this website are the same entity. This sameAs triangulation is the core hallucination defense we detail in Hallucinations vs Reality.

4. The Language of the Machine (Schema.org)

The most critical step. Visual text is for humans. JSON-LD schema is for the robot. Wrap your Entity Home in Organization schema. The code is invisible to the user but it's the first thing the crawler reads.

Critical Schema Properties
@id · a unique URL acting as your ID (usually your homepage).
name · your official brand name.
alternateName · abbreviations or nicknames users search for.
sameAs · the array of all your social profiles.
knowsAbout · a list of topics you're an expert in (e.g. "Coffee Roasting," "Supply Chain").

The GEO Asset Generator produces this code instantly without a developer.

Check whether AI engines treat you as a string or an entity.

Free audit. Detects missing Organization schema, broken sameAs links, and Knowledge Graph ambiguity that keeps you uncitable.

Run a free entity audit →

From "About Us" to Knowledge Graph

Once you publish your Entity Home, force indexation:

  1. Submit to Google Search Console: don't wait for a crawl. Request indexing immediately.
  2. External validation: on LinkedIn, Twitter, and Crunchbase, ensure the website link points directly to your domain. This closes the loop.
  3. The Perplexity test: wait 2 weeks, then ask Perplexity "Who is [Your Brand]?"

Done correctly, the AI stops guessing. It pulls the exact definition from your H1 and the exact facts from your data table, and cites your website as the source.

You have now moved from being a "string" to being an "entity."

The Foundation of Visibility

In the Search Everywhere era, your identity is your most valuable asset. If the AI doesn't know who you are, it can't recommend what you sell. Building an Entity Home is the foundational step: the digital passport that lets your brand travel across Google, ChatGPT, and social search without getting lost.

Once you've established your identity, the next challenge is protecting it. Our companion guide on Brand Safety in the AI Era covers why LLMs might be lying about your pricing, and how your new Entity Home is the key to stopping it.


References & Further Reading

GEO Protocol: Verified for LLM Optimization
Hristo Stanchev

Audited by Hristo Stanchev

Founder & GEO Specialist

Published on December 19, 2025