Keywords vs. Entities: The Building Blocks of Modern Search
Key Takeaways & Executive Summary
LLMs do not read words; they understand concepts (entities) and the relationships between them. Keyword stuffing is dead.
The Death of the Keyword
In 2010, if you wanted to rank for "best payroll software," you made sure that exact phrase appeared 15 times on your page. The search engine was just matching strings of text.
Modern LLMs do not string-match. They map Entities (nodes) and Relationships (edges). An entity is a distinct, uniquely identifiable concept—a person, a company, a product, or a concept.
Entity (in AI Search)
A uniquely identifiable object or concept characterized by its name, type, attributes, and relationships to other entities in a Knowledge Graph.
How LLMs Process Entities
When you ask Claude about "Stripe," it doesn't look for the word "Stripe." It accesses the "Stripe" entity, which is connected to concepts like "payment processing," "API," "Patrick Collison," and "fintech."
| Keyword Approach | Entity Approach |
|---|---|
| Targeting exact phrases ('buy cheap CRM') | Targeting core concepts (Customer Relationship Management) |
| Creating 10 pages for 10 keyword variations | Creating 1 definitive, comprehensive page on the topic |
| Measuring success by keyword rank | Measuring success by entity association and co-occurrence |
Strategic Steps for Founders
- Define your Brand Entity: Write a definitive "What is [Brand]" page. State exactly what you are, who you serve, and your core features.
- Establish Co-occurrence: Get your brand mentioned in the same sentences and paragraphs as the major entities in your space (e.g., if you integrate with Salesforce, ensure you are frequently mentioned alongside the Salesforce entity on high-authority sites).
- Use Schema.org: Explicitly declare your entities using
SameAsschema properties to link your brand to your Wikipedia page, Crunchbase profile, and LinkedIn.