Technical AEO and Data Structuring

Graph-RAG for Brands: A Simple Explanation

Explains how retrieval-augmented systems use structured knowledge and why brands should think in nodes, relationships, and evidence blocks.

Gives a balanced view of LLMs.txt and where it should sit in a broader machine-readability strategy.

Explains how to map a brand into entity-level building blocks that can be reused across pages and channels.

Shows how schema, clean entity language, and evidence-backed copy help machines understand a company with less ambiguity.

Separates useful structured data implementation from checklist theater and shows which schema patterns support trust and retrieval.

Introduces the idea of a brand knowledge graph and shows how products, founders, claims, and proof points become machine-readable assets.