The search ecosystem taxonomy
A stable taxonomy for modern and future search: SEO, technical search, semantic systems, structured data, AEO, GEO, AI search, LLM infrastructure, and agentic search.
Core search foundations, intent, visibility, and measurable organic growth.
Crawlability, indexation, rendering, architecture, and machine-readable systems.
Meaning, relationships, entity alignment, and knowledge connectivity.
Schema, machine-readable semantics, and explicit entity understanding.
Answer-focused content that is easy to retrieve, summarize, and cite.
Generative visibility, AI citations, and visibility across LLM-generated outputs.
AI discovery and retrieval systems across assistants, browsers, and answer interfaces.
The machine-readable and retrieval stack behind modern AI search experiences.
Agentic systems, multimodal interfaces, and the next web of autonomous discovery.
Evidence discipline
Every term is designed to distinguish documented facts, observed behavior, experimental findings, and hypotheses. We do not present proprietary AI ranking behavior as established fact without evidence.