Chapter Glossary
Semantic Search A search approach that attempts to understand the meaning and intent behind a query rather than matching its literal words. Semantic search
Chapter Glossary
- Semantic Search
- A search approach that attempts to understand the meaning and intent behind a query rather than matching its literal words. Semantic search allows a page to rank for queries it does not use verbatim if its content addresses the underlying concept.
- Entity
- A distinct, identifiable thing in the real world (a person, place, organization, product, concept, or event) that a search engine can represent as a node in a structured knowledge system with defined relationships to other entities.
- Knowledge Graph
- A structured database of entities and their relationships used by search engines to understand what things are, how they connect, and what facts are associated with them. It allows search engines to answer factual queries directly and to evaluate the credibility of sources.
- Topical Authority
- The degree to which a website is recognized by search engines as a comprehensive and reliable source on a given subject area. Topical authority is built through depth and breadth of coverage, not by targeting individual keywords in isolation.
- Pillar Page
- A broad, comprehensive page that covers a core topic at a high level and serves as the central hub in a topic cluster architecture. It links to and receives links from cluster pages that address specific subtopics in greater depth.
- Topic Cluster
- A content architecture in which a pillar page and a set of related cluster pages are interlinked to signal comprehensive coverage of a subject area. The structure helps search engines understand topical relationships and consolidates authority around the pillar.
- Featured Snippet
- A selected excerpt displayed at the top of a search results page that directly answers the query, drawn from a page in the index. It appears above the standard ranked results and can receive significant click share even from pages ranked outside the top position.
- People Also Ask (PAA)
- A search results feature that surfaces related questions other users have asked about the same topic. It reflects how searchers move through a subject and reveals the follow-up intent that a primary query often leaves unresolved.
- Answer Engine Optimization (AEO)
- The practice of structuring content so that AI-powered answer systems (including large language model assistants) can accurately extract and attribute information from it. AEO prioritizes clarity, directness, and well-structured answers over persuasive or promotional writing styles.
- AI Overview
- A search feature in which an AI system generates a direct summary answer to a query at the top of the results page, drawing on multiple sources. It changes what a ranking delivers because the answer may satisfy the user without a click to any source.
- Generative Search
- A search paradigm in which an AI model synthesises information from multiple sources into a single generated response rather than returning a ranked list of links. It shifts the definition of visibility from appearing in a list to being drawn upon as a source.
- Google Discover
- A content feed surfaced by Google that does not require a search query. It surfaces content based on a user's inferred interests, browsing history, and entity associations, making distribution dependent on relevance to a person's known interests rather than a typed query.
- Top Stories
- A search results feature that surfaces recent news and timely content, typically in a carousel format. Eligibility depends on content freshness, structured data, and alignment with entities and topics the search engine associates with the query.
- Zero-Click Search
- A search session in which the user's query is resolved directly on the results page (through a featured snippet, knowledge panel, AI Overview, or similar feature) without the user clicking through to any external website.
- E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)
- A framework Google uses to evaluate the quality of content and the credibility of its source. It applies regardless of whether content was written by a human or generated by AI, and it reflects how search engines assess whether a source can be trusted to inform users accurately.