Entity-Based Interlinking

Connecting content based on named semantic entities rather than just keywords, building a robust Knowledge Graph.

What is it?

Entity-based interlinking is the practice of mapping internal links directly to established semantic concepts (Entities) rather than arbitrary keywords. It leverages Schema.org JSON-LD and strict anchor text policies to teach search engines and AI exactly how topics relate to one another.

Why does it matter?

Search algorithms have moved from Lexical (keyword matching) to Semantic (concept matching). An LLM doesn’t care that you linked the words “click here to read about performance”; it wants to know that Document A has a mentions relationship with Entity B. Strict entity-based linking builds a proprietary Knowledge Graph that makes your site the authoritative source for a specific topic cluster.

How to implement it

1. Strict Anchor Text

The anchor text of an internal link must be the canonical name of the entity being linked to.

Avoid: “You can read our guide on [caching strategies here].” Required: “Our edge architecture relies on strict [Caching Strategies].”

2. JSON-LD Reinforcement

When linking to a major entity page, reinforce it in the <head> using the about or mentions schema property.

{
  "@context": "https://schema.org",
  "@type": "TechArticle",
  "headline": "Edge Personalization",
  "mentions": [
    {
      "@type": "Thing",
      "name": "Caching Strategies",
      "url": "https://example.com/caching-strategies"
    }
  ]
}

Verification

Extract all <a> tags from your content body. If any anchor text contains verbs or filler words (“read more”, “click”, “guide to”), the link is lexically driven, not entity-driven.