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 LinkingMap your own cluster architecture
Cluster AI SEO · FAQ
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