Entity Optimization Examples

Entity optimization is the foundation of AEO. Before AI can cite your content, it needs to understand who you are, what you do, and why you’re authoritative. These examples show how to build strong entity signals that help AI engines identify and trust your brand.

What Is Entity Optimization?

Entity optimization is the practice of ensuring AI engines can clearly identify the entities (people, organizations, products, concepts) on your pages and understand their relationships. It’s the difference between AI seeing your page as “a page about CRM software” versus “HubSpot’s CRM product page, authored by their VP of Product.”

Example 1: Company Entity - From Anonymous to Identifiable

Weak Entity Signals

<title>Best CRM Software</title>
<p>Our CRM helps businesses manage customer
relationships effectively.</p>

AI sees: A generic page about CRM. No identifiable entity.

Strong Entity Signals

<title>HubSpot CRM - Free CRM Software for Growing Businesses</title>
<p>HubSpot CRM is a free customer relationship management
platform used by 200,000+ businesses worldwide. Built by
HubSpot (NYSE: HUBS), it includes contact management,
deal tracking, email integration, and reporting.</p>

<script type="application/ld+json">
{
  "@type": "SoftwareApplication",
  "name": "HubSpot CRM",
  "applicationCategory": "BusinessApplication",
  "operatingSystem": "Web",
  "offers": { "@type": "Offer", "price": "0" },
  "publisher": {
    "@type": "Organization",
    "name": "HubSpot",
    "url": "https://hubspot.com",
    "tickerSymbol": "HUBS"
  }
}
</script>

AI sees: A specific product (HubSpot CRM) by a known company (HubSpot, publicly traded), with clear category, pricing, and user count. This is citable.

Key changes:

• Product name in title and first sentence
• Company formally identified with verifiable details
• Schema connects product to publisher
• Specific user count adds credibility

Example 2: Author Entity - From Ghost Writer to Expert

Weak Author Entity

<p class="author">By Marketing Team</p>

AI sees: Anonymous content. Low trust for EEAT evaluation.

Strong Author Entity

<div class="author-bio">
  <h4>About the Author</h4>
  <p><strong>Dr. Sarah Chen</strong>, Chief Medical Officer
  at HealthFirst Clinic. Board-certified internist with 15
  years of clinical experience. MD from Johns Hopkins,
  residency at Mayo Clinic. Published in JAMA and NEJM.</p>
</div>

<script type="application/ld+json">
{
  "@type": "Person",
  "name": "Dr. Sarah Chen",
  "jobTitle": "Chief Medical Officer",
  "worksFor": {
    "@type": "MedicalClinic",
    "name": "HealthFirst Clinic"
  },
  "alumniOf": [
    { "@type": "CollegeOrUniversity", "name": "Johns Hopkins University" }
  ],
  "credential": [
    { "@type": "EducationalOccupationalCredential", "credentialCategory": "MD" }
  ],
  "url": "https://healthfirst.com/team/dr-sarah-chen"
}
</script>

AI sees: A named medical expert with verifiable credentials, institutional affiliation, and publication history. Content authored by this person is highly citable for medical queries.

Key changes:

• Named individual replaces anonymous “team”
• Credentials include degree, institution, and board certification
• Schema provides machine-readable credential data
• Link to profile page enables verification

Example 3: Product Entity - From Feature List to Defined Product

Weak Product Entity

<h2>Features</h2>
<ul>
  <li>Easy to use</li>
  <li>Powerful analytics</li>
  <li>Team collaboration</li>
  <li>Cloud-based</li>
</ul>

AI sees: Generic feature claims. Can’t determine what the product is or how it compares.

Strong Product Entity

<h2>Genrank Platform Features</h2>

<h3>Write</h3>
<p>AI-powered content creation trained on 880 million+
AI citations. Generates content structured for AI
engines from the start.</p>

<h3>Optimize</h3>
<p>Page-level audits across 5 dimensions: Answerability,
Citability, Entity, Freshness, and Parseability.
Returns 20 specific fixes per page, ranked by citation
impact.</p>

<h3>Track</h3>
<p>Monitor how often your brand and content are cited
by ChatGPT, Perplexity, Google AI Overviews, Claude,
and Copilot. Track citation rate over time against
competitors.</p>

<h3>Discover</h3>
<p>Find questions in your niche that AI engines currently
answer poorly or not at all. Identify content gaps where
your expertise can fill the void.</p>

AI sees: A specific platform (Genrank) with four defined modules, each with a concrete description of functionality. This can be cited when AI answers “What does Genrank do?” or “What AEO tools are available?”

Key changes:

• Product name attached to features section
• Each feature described with specific functionality, not adjectives
• Concrete numbers (880M+ citations, 5 dimensions, 20 fixes)
• Feature names match how users search (“track AI citations”)

Example 4: Location Entity - From Address to Local Authority

Weak Location Entity

<p>Visit our office at 123 Main St.</p>

Strong Location Entity

<p>HealthFirst Clinic is located at 123 Main Street, Suite
400, Austin, TX 78701. Serving patients in Austin, Round
Rock, Cedar Park, and the greater Central Texas area since
2015. Open Monday-Friday, 8am-6pm. Accepting new patients.</p>

<script type="application/ld+json">
{
  "@type": "MedicalClinic",
  "name": "HealthFirst Clinic",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "123 Main Street, Suite 400",
    "addressLocality": "Austin",
    "addressRegion": "TX",
    "postalCode": "78701"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": "30.2672",
    "longitude": "-97.7431"
  },
  "areaServed": ["Austin", "Round Rock", "Cedar Park"],
  "openingHoursSpecification": {
    "@type": "OpeningHoursSpecification",
    "dayOfWeek": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
    "opens": "08:00",
    "closes": "18:00"
  }
}
</script>

AI sees: A specific medical facility in Austin, TX with exact coordinates, service area, hours, and history. This gets cited for “doctor near me” and “clinic in Austin” queries.

Entity Optimization Checklist

Entity Type	Essential Signals	Schema Type
Company	Name, description, founding date, team	Organization
Person/Author	Name, credentials, affiliation, expertise	Person
Product	Name, category, features, pricing, reviews	Product / SoftwareApplication
Location	Address, coordinates, hours, service area	LocalBusiness / specific type
Content	Type, author, date, topic	Article / BlogPosting

How Genrank Helps

Genrank’s Entity dimension specifically evaluates how well AI engines can identify the entities on your pages. The audit checks for missing schema, unclear entity definitions, disconnected entity relationships, and opportunities to strengthen your entity profile, all ranked by citation impact.