Topic

GEO

Generative engine optimization is about being included and cited when an AI system writes an answer rather than listing links. Being retrieved is only the first step, because the model still chooses what to use and credit. The guides here approach it through structured knowledge and real audience questions, not through tricks aimed at one model's current behavior.

2 guides on GEO.

Reference Guide · 38 min read

User-First Intelligence (UFI)

User-First Intelligence (UFI) starts with people, not keywords. It follows the people you serve to every place they ask for help (search engines, AI assistants, video, social platforms, communities and reviews), sorts what they say onto one map of your industry, and turns the gaps into decisions about what to build, publish or fix, in the format and on the platform each audience prefers.

User-First Intelligence Personas Search Demand Knowledge Graphs Ontology Classification Embeddings RAG AEO GEO AI Agents Content Strategy

Reference Guide · 16 min read

Graph Types for AI Agents

The six structures behind modern AI search, taxonomy, ontology, knowledge graph, information graph, context graph, vector / embedding index, what each one actually is, when to use which, and how they combine into GraphRAG. One dataset, six structures, visualized in 2D and 3D.

Knowledge Graphs Vector Databases Ontology GraphRAG RAG Retrieval-Augmented Generation Context Graph Semantic Search AEO GEO AI Agents Schema.org

AEO AI Agents Knowledge Graphs Ontology RAG Classification Content Strategy Context Graph

All Guides

GEO

User-First Intelligence (UFI)

Graph Types for AI Agents

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