Named entities: the key lever in AI GEO

28/02/2026 Insights

Understanding and optimizing named entities, a pillar of GEO

In today's search ecosystem, engines no longer simply index keywords: they interpret entities.

Generative Engine Optimization

Understanding and optimizing named entities has become a pillar of GEO (Generative Engine Optimization) — that is, optimizing content for AI-based answer engines. This concept, still underused by the majority of websites, is nonetheless one of the most powerful signals for improving how generative models understand, trust and select a page.

What is a named entity?

A named entity is a uniquely identifiable real-world element. It can be:

  • a person
  • a company
  • a brand
  • a place
  • a work
  • a product
  • a technology

Examples of entities:

  • Google
  • OpenAI
  • Microsoft
  • Wikipedia

These names are not just text: for an AI, they are semantic nodes connected to a global knowledge base.

Why AI favors entities over keywords

Generative engines do not work like traditional SEO engines. Their goal is not just to rank pages but to produce reliable answers. To do this, they rely on three mechanisms:

  • Disambiguation

A word can have multiple meanings. An entity has only one. Example: "Apple" can be a fruit or a company. "Apple Inc." is a clear entity.

  • Connection to the knowledge graph

Models connect entities to one another:

Example: OpenAI → organization → artificial intelligence → LLM

  • Verifiability

A claim linked to an identifiable entity is more credible than a vague statement.

Types of entities to integrate into content

Authority entities

Organizations, researchers, institutions.

→ signal of deep expertise.

Contextual entities

Place, date, event.
→ signal of precision.

Conceptual entities

Technologies, methods, standards.
→ signal of depth

Transactional entities

Products, brands, models.
→ signal of practical utility

How to optimize a page for entities


Step 1: Identify the main entities

Answer the question: what does this page refer to?


List:

  • brands
  • concepts
  • tools
  • places
  • experts


Step 2: Add explicit relationships

Structure your sentences.

Example: A CRM is software that enables the management of customer relationships.


Step 3: Define technical terms

AI favors educational content.


Step 4: Use structured formatting

Structured tags, tables, lists.

Models read more easily:

  • tables
  • lists
  • definitions
And less easily long paragraphs.

Step 5: Strengthen credibility

Add:

  • sources
  • figures
  • studies
  • quotes

In summary


Named entities are not a technical detail: they are the foundation of AI-based ranking.

GEO-optimized content:
  • clearly identifies its entities
  • connects them to one another
  • defines them
  • structures them
  • contextualizes them
In other words: the more a page resembles a structured knowledge base, the better an AI understands it, trusts it and cites it.


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