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Cluster · AI SEO

Cluster AI SEO — the structure LLMs read

Semantic clusters. Entity clusters. Topic maps. Knowledge graph. Internal linking. The seven layers of AI SEO cluster architecture.

Semantic Clusters

Groups of pages covering the same meaning-space so LLMs recognize you as the authority on that concept.

Entity Clusters

Networks of entities (brand, people, product, technology) that reinforce a category identity across pages.

Topic Maps

Structured hierarchies of parent/child topics linked so retrieval-augmented models can follow context without ambiguity.

Knowledge Graph

The Wikipedia / Wikidata / Google KG layer that LLMs treat as canonical truth. The most durable authority layer.

LLM Optimization

Rewriting content structure (definitions first, tables, comparison blocks) for RAG-friendly parsing.

Prompt Optimization

Engineering the shape of category queries you want to own, then structuring content to answer them directly.

Internal Linking

Directed graph of internal links that reinforce cluster membership. Pillar ↔ cluster ↔ sibling ↔ related.

Example

Our own cluster architecture

We dogfood the framework. Here's the tree behind this site.

AI Visibility (pillar)
│
├── Metrics
├── Dashboard
├── Audit
├── Report
├── ROI
├── Ecommerce
│
└── Share of Model (hub)
      ├── Tracking
      └── Agency

Cluster AI SEO (adjacent pillar)
      └── Semantic · Entity · Topic · KG · LLM · Prompt · Internal Linking

Map your own cluster architecture

Cluster AI SEO · FAQ

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