AI Visibility glossary terms - page 3.

AI Visibility Language Model SEO Language Model SEO is a measurement concept used to evaluate organic search performance, user behavior or business outcomes. AI Visibility LLM discoverability LLM discoverability is the publisher-side condition in which a resource can be found through documented search, index or retrieval routes used by a declared LLM-mediated product. AI Visibility LLM visibility LLM visibility is a sampled observation of whether and how a named entity, claim or resource appears in outputs from declared LLM-mediated products. AI Visibility Long-tail keyword A long-tail keyword is a relatively specific, lower-frequency query within the large distribution of searches beyond the most popular head terms. AI Visibility Neural Retrieval Neural retrieval uses trained neural models to represent, score or rerank queries and candidate items for an information-retrieval task. AI Visibility Neural Search Neural search is an umbrella term for search systems that use learned neural models in candidate retrieval, query or document representation, interaction scoring, reranking or a combination of those stages. AI Visibility Overview source An Overview source is a provider-neutral record for an external resource displayed or linked with a captured generated overview from a named system. AI Visibility Passage Retrieval Passage retrieval selects and ranks text passages or chunks as the retrieval unit instead of returning only whole documents. AI Visibility Prompt Driven SEO Prompt Driven SEO is a non-standard operating label for using documented AI prompt observations as one input to SEO research, diagnosis and prioritisation. AI Visibility Prompt Engineering SEO Prompt Engineering SEO is a non-standard label for designing and testing instructions, context, examples and output constraints used by AI tools in an SEO workflow. AI Visibility Prompt Monitoring Prompt monitoring is the repeated execution of a controlled prompt set to observe how specified AI systems respond over time. AI Visibility Prompt Optimized Content Prompt Optimized Content is a non-standard label for content improved after evaluating whether it answers a documented set of audience prompts accurately, completely and with inspectable evidence. AI Visibility Public Evidence Layer Public Evidence Layer is an AYSA operating label for the crawlable, current and source-backed web records that support important claims about an organisation, product or service. AI Visibility Query Fan Out Query fan-out is a technique in which a system issues multiple concurrent, related searches across subtopics or data sources to gather evidence for a broader request. AI Visibility Query Pack A query pack is an AYSA operating label for a versioned collection of related search queries, questions and prompts evaluated together for one business topic. AI Visibility Render Blocking Resources Render-blocking resources are files, usually CSS or JavaScript, that delay the browser from displaying visible page content. AI Visibility Retrieval Augmented Generation Retrieval-augmented generation, or RAG, retrieves external evidence, adds selected context to a model request and generates an output conditioned on that context. AI Visibility Retrieval Layer A retrieval layer is an architectural boundary that exposes controlled search and retrieval capabilities to applications through a defined interface. AI Visibility Retrieval Optimization Retrieval optimization is the measured process of improving which candidates an owned search system returns and how it ranks them for a representative set of user queries. AI Visibility Retrieval Pipeline A retrieval pipeline is the ordered workflow that prepares searchable material and turns a query into an evaluated set of returned candidates. AI Visibility Retrieval signal A retrieval signal is an observable input an owned search system uses to select, filter or rank candidate records, such as lexical match, vector similarity, freshness or access metadata. AI Visibility Search Retrieval Search retrieval is the query-time process of selecting and ranking items from a searchable collection in response to an expressed information need. AI Visibility Semantic Entity Semantic entity is a context-dependent label for an identifiable thing whose type and relationships are expressed within a vocabulary, ontology or other meaning-bearing data model. AI Visibility Semantic Retrieval Semantic retrieval is retrieval designed to match the intended meaning and relationships in a request rather than relying only on literal token overlap. AI Visibility Social Proof Layer The social proof layer is the public evidence about a brand that appears across social platforms, communities, reviews, creators and discussions. AI Visibility Source attribution Source attribution identifies the person, organisation, dataset or publication from which information or content originated or was derived. AI Visibility Source Citation A source citation is a reference that lets a reader or system locate the specific material offered as support for a statement. AI Visibility Source clarity Source clarity is a measurement concept used to evaluate organic search performance, user behavior or business outcomes. AI Visibility Source panel A source panel is a visible interface component that groups resources associated with a declared answer or generated result. AI Visibility Topic Embeddings Topic embeddings are vector representations assigned to topics so that topics, words or documents can be compared within a model's shared representation space. AI Visibility Topical Entity Topical entity is a non-standard label for an identified entity used as an anchor or subject within a defined content topic, taxonomy or analysis. AI Visibility Vector Embeddings Vector embeddings are ordered arrays of numbers produced to represent an input so that a chosen distance or similarity function can compare relationships within the same compatible vector space. AI Visibility Vector Retrieval Vector retrieval returns items whose stored numeric vectors are nearest to a query vector under a chosen similarity or distance function. AI Visibility Vector Search Vector search finds stored vectors that are nearest to a query vector under a selected distance measure, commonly by using an index built for exact or approximate nearest-neighbour retrieval.