Entities & knowledge
Semantic SEO
Optimizing around topics, meaning and entities rather than individual keywords.
Semantic SEO is the practice of optimising around topics, meaning and entities rather than isolated keywords. It covers topic clusters, thorough entity coverage, internal linking by meaning, and content that answers the full web of questions around a subject — the approach that aligns naturally with how embedding-based retrieval and AI answers actually work.
Semantic SEO is effectively the bridge between classic SEO and GEO. The habits it encourages — depth, clarity, entity coverage, meaningful structure — are exactly what make content retrievable and citable in AI search. A site built on semantic principles is already most of the way to being AEO-ready.
In practice it means planning content by topic and question coverage, not keyword lists, and connecting it so engines can see the shape of your expertise.
Related terms
Entity Density
How richly a page covers the named entities a topic requires — not keyword repetition.
Co-occurrence
How often two terms appear together in text, used to infer how related they are.
Semantic Similarity
How close two pieces of text are in meaning, measured by comparing their embeddings.
Generative Engine Optimization
Optimizing to be cited inside AI-generated answers, not ranked in blue links.
Answer Engine Optimization
Structuring content so answer engines can return your answer directly.
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