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Glossary for AI visibility and AI search

The AI visibility industry has its own vocabulary. Here you will find short, precise explanations of all important terms.

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01Terms

All terms explained

Short and precise definitions you can use right away.

121 terms

  • ACP

    Agentic Commerce Protocol

    OpenAI and Stripe's standard that powers Instant Checkout in ChatGPT, letting users buy directly in the conversation. Distinct from Google's UCP.

  • AEO

    Answer Engine Optimization

    Optimizing content to be cited in AI-generated answers

    Read more
  • AI Mode

    Google AI Mode

    Google's conversational search model where the entire experience is AI-driven, not just a box at the top. Users can ask follow-up questions.

  • AI Overviews

    Google's AI-generated summaries displayed above traditional search results

  • AI Visibility Score

    Overall score for visibility across AI engines

  • AI-agent

    Agentic AI

    An AI that plans and takes multi-step actions toward a goal — searching, comparing, even buying — with little human input. The next layer beyond chat.

  • AI-crawler

    Automated program that fetches content from websites for use in AI models

  • AI-hallusinasjon

    AI Hallucination

    When AI generates incorrect or fabricated information presented as fact

  • AI-handelsagent

    AI Shopping Agent

    An AI that discovers, compares and buys products on a user's behalf via standards like UCP or ACP. Requires machine-readable product data to act.

  • AI-omtale

    AI Mention

    When an AI model mentions your brand without linking to your website

  • AI-referert trafikk

    AI Referral Traffic

    Visitors who come to your website via links in AI-generated answers

  • AI-sitering

    AI Citation

    When an AI model uses your content as a source and links to it in its answer

  • AI-synlighet

    AI Visibility

    The degree to which your brand is mentioned, recommended and cited in AI-powered search tools

    Read more
  • Answer Engine

    A tool that answers questions directly instead of returning a list of links — ChatGPT, Perplexity, AI Overviews. The target of AEO.

  • Answer-first

    Content format where the direct answer comes first (40–60 words), before elaboration. The format AI models cite best.

  • Bing

    Microsoft's search engine and the web index behind Copilot and, in part, ChatGPT search. Bing Webmaster Tools controls how it crawls you.

  • Brand Authority

    The overall trust and recognition a brand has across the web. AI models weigh it when deciding whom to recommend.

  • Canonical URL

    The tag that tells search engines which version of a page is the original. Prevents duplicate-content confusion for crawlers and AI.

  • CAVIS

    Conversational AI Visibility Simulation

    CitationLab's framework for measuring visibility in multi-step AI conversations

    Read more
  • ChatGPT

    OpenAI's AI assistant and the most-used AI platform in the world. Recommends businesses and services on direct request.

  • ChatGPT Shopping

    ChatGPT's product discovery and shopping experience. Shopify and Etsy catalogs connect automatically; others apply via the ChatGPT Merchant portal and a product feed.

  • Chunk

    Text segment that AI uses as context window when generating answers

  • Chunk-optimalisering

    Structuring content into segments that AI can extract and cite effectively

  • Chunkalyzer

    Analysis tool that shows how AI models break down and process your content

  • Citation

    Reference to a specific URL in an AI-generated answer

  • Claude

    Anthropic Claude

    Anthropic's AI assistant, known for long-context reasoning and increasingly used for research and work. Cites web sources when it browses.

  • ClaudeBot

    Anthropic's web crawler for Claude. Control its access in robots.txt to decide whether Claude can use your content.

  • Co-citation

    When your brand is mentioned alongside known authorities in the same context. Signals to AI that you belong in that set.

  • Core Web Vitals

    Google's three core user-experience metrics: LCP (load time), INP (responsiveness) and CLS (visual stability). Direct ranking factors.

  • Crawlbarhet

    Crawlability

    How easily bots and AI crawlers can access and read your pages. Blocked or JS-heavy pages are invisible to AI.

  • CTR

    Click Through Rate

    The share of users who click a link compared to those who see it. Measured in Google Search Console.

  • DeepSeek

    Chinese AI model launched in 2025, known for high performance at low cost. Should be included in AI visibility monitoring.

  • Digital PR

    Earning brand mentions and links on authoritative third-party sites. One of the strongest off-site levers for entity authority and AI citations.

  • E-E-A-T

    Experience, Expertise, Authoritativeness, Trustworthiness

    Google's quality signals for content and publisher trust

  • Embeddings

    Vector Embeddings

    Numeric representations of text meaning that let AI compare content by semantic similarity. The basis for retrieval in RAG and AI search.

  • Entitet

    Entity

    A uniquely identifiable thing (person, company, concept) that AI can recognize and discuss

  • Entitetsautoritet

    Entity Authority

    The weight your brand carries in AI models, built through structured data and credible sources

  • Entity Linking

    Entity Disambiguation

    Connecting a mention to the correct entity in a knowledge base (e.g. the right "Apple"). Clean, consistent data helps AI link to you correctly.

  • Fact Density

    The density of verifiable facts in your content — higher fact density increases the chance of AI citation

  • Fanalyzer

    Fan-out Analysis

    Analysis tool in CitationLab for discovering topic expansions and content opportunities

  • Fine-tuning

    Further training of a foundation model on specific data to specialize its behavior. Distinct from prompting or retrieval.

  • Foundation Model

    A large model trained on broad data that serves as the base for many applications (e.g. GPT, Gemini, Claude). Fine-tuned or prompted for specific tasks.

  • Gemini

    Google Gemini

    Google's AI assistant and model family, built into Search (AI Mode and AI Overviews), Android and Workspace. A key surface to monitor for AI visibility.

  • Generativ AI

    Generative AI

    AI that creates new text, images or code from training data, rather than just classifying. The technology behind ChatGPT, Gemini and AI Overviews.

  • GEO

    Generative Engine Optimization

    Strategies for visibility in generative AI systems

  • Google Business Profile

    Google's free business profile in Search and Maps. One of the most important verification sources AI models use to confirm a business is real.

  • Google-Extended

    A robots.txt token that controls whether Google may use your content for Gemini and AI training, separate from normal Search indexing.

  • GPTBot

    OpenAI's crawler that gathers web content for training and ChatGPT. Allowing it in robots.txt is required to be eligible for citation.

  • Grok

    xAI Grok

    xAI's AI assistant built into X (Twitter), with real-time access to posts. Relevant for brands with an active social presence.

  • Grounding

    Tying an AI model's answer to verifiable external sources instead of relying on parametric memory. Reduces hallucinations and produces citations.

  • Hreflang

    Markup that tells search engines which language and region a page targets. Helps AI serve the right localized version of your content.

  • Hybrid søk

    Hybrid Search

    Combining keyword search (BM25) with semantic vector search for better retrieval. Common in modern AI search pipelines.

  • Indeksering

    Indexing

    The process where search engines store and categorize content from websites. A basic prerequisite for any AI visibility.

  • Inferens

    Inference

    The moment an AI model generates an answer from a prompt, as opposed to training. Each inference draws on parametric memory plus any retrieved sources.

  • Information Gain

    How much new, unique information a page adds beyond what already exists. High information gain increases the chance of being cited.

  • Innholdsferskhet

    Content Freshness

    How recent and up-to-date content is. AI engines like Perplexity weight fresh sources heavily (recency bias).

  • JSON-LD

    The recommended format for schema markup. Placed in the head tag of a page and gives AI structured context about the content.

  • Kildeattribusjon

    Source Attribution

    How an AI engine credits and links the sources behind an answer. Strong attribution is what turns visibility into traffic.

  • Kildemangfold

    Source Diversity

    Spread of brand mentions across various credible sources — strengthens AI's trust in you

  • Knowledge Graph

    Structured database of entities and relationships that AI uses to understand the world

  • Knowledge Panel

    The info box Google shows about an entity, drawn from its Knowledge Graph. A strong public signal that AI recognizes your brand as a real entity.

  • Kontekstvindu

    Context Window

    The maximum amount of text (in tokens) an AI model can consider at once. Determines how much of your content fits into a single answer.

  • Konversasjonelt AI-søk

    Conversational AI Search

    Multi-step search where the user has a conversation with AI, as opposed to single queries

  • LLM

    Large Language Model

    Large language model like ChatGPT, Gemini, Claude

  • LLM SEO

    Optimizing content so large language models retrieve, understand and cite it. Overlaps with GEO and LLMO; focuses on entities, chunks and authority.

  • LLMO

    Large Language Model Optimization

    Adapting content and data for LLM visibility

  • llms-full.txt

    An extended llms.txt that includes the full text of key pages so AI can ingest them directly. Companion to llms.txt.

  • llms.txt

    A proposed standard file that gives AI models a curated, markdown overview of your most important content. An emerging lever for AI visibility.

  • Lokal SEO

    Local SEO

    Search engine optimization for geographically specific searches. Important for AI visibility because AI uses GBP and local directories as verification sources.

  • MCP

    Model Context Protocol

    An open standard for connecting AI assistants to external tools and data sources. Lets agents act on live information.

  • Mention Rate

    The share of AI responses where your brand is mentioned — without necessarily being cited as a source. Broader than Citation Rate.

  • Metabeskrivelse

    Meta Description

    A short description (140–155 characters) shown beneath the page title in search results. Affects CTR.

  • Microsoft Copilot

    Microsoft's AI assistant across Bing, Windows and Microsoft 365. Built on OpenAI models and surfaces cited web sources.

  • Multimodal AI

    AI that understands and generates across text, images, audio and video. Means your images and video can also be read and cited by AI.

  • NER

    Named Entity Recognition

    AI technique that detects and classifies entities (people, brands, places) in text. The first step toward linking your brand to a knowledge graph.

  • Null-klikk-søk

    Zero-Click Search

    Search where the user gets the answer directly without clicking to a website

  • Organisk søk

    Organic Search

    Search results shown in Google without payment. The starting point for SEO and AEO strategy.

  • Parametrisk hukommelse

    Parametric Memory

    Knowledge baked into a language model's weights during training, as opposed to real-time retrieval

  • Passage Ranking

    When search engines rank and surface a single relevant passage from a page rather than the whole page. Rewards well-structured, self-contained sections.

  • People Also Ask

    PAA

    A box in Google search results with related questions. Optimizing for PAA gives extra visibility and builds topical authority.

  • Perception Match

    Degree of alignment between desired brand position and how AI actually describes you

  • Periodesammenligning

    Period Comparison

    Comparison of AI visibility metrics between two time periods

  • Perplexity

    AI-driven search engine with over 100 million weekly searches. The second most important AI search platform after ChatGPT, with a strong recency bias.

  • PerplexityBot

    Perplexity's crawler that indexes pages for its answer engine. Blocking it removes you from Perplexity's citations.

  • Prompt

    Question or instruction sent to an AI engine

  • Prompt Engineering

    The technique of formulating questions to AI for optimal answers — important for testing AI visibility

  • Prompt Injection

    An attack that hides instructions in content to manipulate an AI model's behavior. A security concern for AI-facing pages and agents.

  • Prompt-optimalisering

    Prompt Optimization

    Identifying and optimizing content for the specific questions users ask AI models. AEO's answer to keyword research.

  • Prompt-styring

    Prompt Management

    Systematic management of search queries to monitor AI visibility over time

  • Query Fan-out

    When an AI search splits one question into several sub-queries, retrieves sources for each, and synthesizes one answer. Being cited means covering the sub-questions.

  • RAG

    Retrieval-Augmented Generation

    AI technique that retrieves external source data before answering

  • Reranking

    A second-pass step that reorders retrieved results by relevance before the AI writes its answer. Strong content can win the rerank and get cited.

  • Retrieval

    The step where an AI system fetches relevant external documents before answering. The "R" in RAG and the gateway to being cited.

  • RLHF

    Reinforcement Learning from Human Feedback

    Training technique that aligns model answers with human preferences. Shapes which sources and phrasings a model favors.

  • Robots.txt

    A text file that tells search engines and AI crawlers what they may fetch. Misconfiguration is a common cause of invisibility in AI search.

  • Schema.org

    Standardized vocabulary for structured data that helps AI understand your content

  • Semantisk søk

    Semantic Search

    Search that matches on meaning and intent rather than exact keywords, using embeddings. The retrieval model AI engines rely on.

  • Sentimentanalyse

    Sentiment Analysis

    Measuring whether AI mentions are positive, negative or neutral

  • SEO

    Search Engine Optimization

    The process of improving a website's visibility in organic search results. The foundation all AEO is built on.

  • SERP

    Search Engine Results Page

    The page Google shows after a search. Contains organic links, AI Overviews, featured snippets, PAA, and knowledge panels.

  • SGE

    Search Generative Experience

    Google's original name for AI answers in Search, now rolled into AI Overviews and AI Mode. Still seen in older documentation.

  • Share of Model

    SoM

    Brand's share of AI recommendations compared to competitors — the AI equivalent of market share

  • Share of Voice

    Your share of AI answers compared to competitors

  • Sitemap

    An XML file that lists important pages on the site and helps search engines discover and index content. Should be submitted to Google Search Console.

  • Siteringsrate

    Citation Rate

    The share of AI answers where your content is used as a source — key metric for AI visibility

  • Siteringsverdighet

    Citability

    How easy your content is for AI to quote — clear claims, facts, structure and authority. The core objective of GEO.

  • System Prompt

    The hidden instructions that set an AI assistant's role and rules before the user's prompt. Shapes tone, guardrails and source preferences.

  • Søkeintensjon

    Search Intent

    What the user actually wants to achieve with a search. Four types: informational, navigational, commercial investigation, and transactional.

  • Teknisk SEO

    Technical SEO

    Optimization of the site's technical infrastructure: speed, indexing, mobile, schema, and Core Web Vitals. Includes robots.txt access for AI crawlers.

  • Temperature

    A setting that controls how random or deterministic an AI's output is. Lower values give more consistent, repeatable answers.

  • Token

    The smallest unit of text an LLM processes — roughly three-quarters of a word. Models have token limits that cap how much context they can read.

  • Topical Authority

    The degree of subject-matter authority a site has within a particular topic. One of the strongest drivers of AI citations.

  • Topical Map

    A structured plan covering every subtopic of a theme to build topical authority. Helps AI see you as a comprehensive source.

  • Treningsdata

    Training Data

    Data used to train an AI model — your content must exist here for parametric visibility

  • UCP

    Universal Commerce Protocol

    Open standard, led by Google, that lets AI agents discover, buy and manage orders across stores with one integration. Powers Universal Cart and checkout in Google AI Mode and Gemini.

  • Vektordatabase

    Vector Database

    A database that stores embeddings and finds the most relevant content by meaning rather than keywords. Powers retrieval in AI search and RAG.

  • Wikidata

    An open, machine-readable knowledge database used by Google Knowledge Graph and many AI models as a verification source.

  • Wikipedia

    The single most important source for AI models' knowledge about entities. An article about your company or industry is one of the strongest authority signals available.

  • Zero-shot / Few-shot

    Prompting an AI with no examples (zero-shot) or a handful (few-shot) to guide its answer. Affects how reliably it represents your brand.

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