Content Structures

Entity First Content

Content written so that key entities and relationships are explicit and easily understood by AI models.

Extended definition

Entity First Content structures information around clear, well-defined entities rather than keywords or topics. Every important concept—people, products, companies, locations, methodologies—is explicitly named, defined, and connected to related entities. Relationships are stated clearly: 'Brandon Hendricks founded Hendricks.AI' rather than vague references. Attributes are declared upfront: 'Hendricks.AI, a B2B search intelligence firm specializing in...' This approach helps AI models quickly extract and understand the knowledge graph your content represents.

Why this matters for AI search visibility

AI engines don't read content the way humans do—they extract entities and relationships to build structured understanding. Content that makes entities ambiguous or implicit gets bypassed in favor of clearer sources. Entity First Content ensures AI systems correctly identify who, what, when, and where, leading to accurate citations and stronger visibility. This approach is essential for new categories, complex B2B solutions, and any scenario where precise understanding determines whether you're cited or ignored.

Practical examples

  • A product page restructured with entity-first principles sees citation rates increase from 4% to 31% across AI engines
  • An about page that explicitly declares founder relationships and company structure earns consistent entity recognition accuracy above 90%
  • A services description using clear entity definitions replaces a competitor's vague descriptions in AI answers within 3 months