Lesson 238 of 238 • 4 min read

Chapter Glossary

Mental Model An internal representation of how a system works. In the context of SEO, a mental model connects concepts like intent, crawlability, relevance

Chapter Glossary

Mental Model
An internal representation of how a system works. In the context of SEO, a mental model connects concepts like intent, crawlability, relevance, authority, and experience into a coherent framework for understanding search behavior and search system logic.
Search Intent
The underlying goal or motivation behind a search query. Search systems classify intent into broad categories (informational, navigational, transactional, commercial investigation) and use this classification to determine which results best satisfy the searcher's actual need.
Crawlability
The degree to which a search engine's automated crawlers can discover, access, and process the pages of a website. A page that cannot be crawled cannot be indexed, and a page that is not indexed cannot appear in search results regardless of its quality.
Indexing
The process by which a search engine stores and organizes the content it has crawled, making it retrievable in response to relevant queries. Indexing is a prerequisite for ranking, but indexing alone does not guarantee visibility.
On-Page Structure
The way content is organized and signaled within a page, including headings, semantic markup, internal linking, and the relationship between page elements. Structure helps search systems understand what a page is about and how its parts relate to one another.
Internal Linking
The practice of connecting pages within the same website through hyperlinks. Internal links help search engines understand site architecture, distribute authority across pages, and signal which content is considered most important or closely related.
Relevance
The degree to which a piece of content matches the intent, context, and language of a search query. Relevance is not simply about keyword presence; it reflects how well a page addresses the actual need behind a search.
Authority
A signal of trustworthiness and credibility assigned to a website or page, often influenced by the quantity and quality of links pointing to it from other sources. Authority affects how much weight a search system gives to a page's relevance signals.
E-E-A-T
Experience, Expertise, Authoritativeness, and Trustworthiness. A framework used by search quality evaluators to assess whether content is produced by credible sources with genuine knowledge and real-world experience of the subject matter.
Ranking Signal
Any factor that a search engine uses to determine the order in which results are presented for a given query. Ranking signals include relevance, authority, page experience, freshness, and many others, weighted differently depending on the query type.
Search Engine Results Page (SERP)
The page a search engine displays in response to a query. Modern SERPs include a variety of result types (organic listings, featured snippets, knowledge panels, image carousels, and more) each designed to satisfy different kinds of intent.
Featured Snippet
A search result format that displays a direct answer to a query at the top of the results page, drawn from a specific page's content. Featured snippets are awarded to pages that clearly and concisely answer a well-defined question.
Crawl Budget
The number of pages a search engine's crawler will process on a given website within a set period. Sites with many pages or slow server responses may find that not all their content is crawled regularly, making efficient site architecture an important factor in visibility.
Page Experience
A set of signals that reflect how users perceive the experience of interacting with a page, including loading speed, visual stability, interactivity, and whether the page is served securely. Search systems incorporate page experience as a ranking consideration alongside relevance and authority.
Semantic Search
An approach to search that interprets the meaning and context of a query rather than matching it literally to keywords. Semantic search allows search engines to understand relationships between concepts, synonyms, and the likely intent behind ambiguous queries.
Knowledge Graph
A structured database of entities (people, places, organizations, concepts) and the relationships between them, maintained by a search engine to power direct answers and contextual understanding of queries.
Anchor Text
The visible, clickable text of a hyperlink. Anchor text provides context to search engines about the content of the page being linked to, making it a relevance signal as well as a navigational element.
Canonicalisation
The process of indicating to search engines which version of a page should be treated as the primary or authoritative version when similar or duplicate content exists across multiple URLs.
Search Quality Evaluator
A human reviewer employed by a search engine to assess the quality and relevance of search results using published guidelines. Their assessments inform the training and refinement of ranking systems, though they do not directly alter live rankings.
Continued Learning
The ongoing process of deepening understanding of search through reading, observation, and reflection as the field evolves. Because search systems change continuously, understanding the principles behind those changes is more durable than memorizing current specifics.
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