Beamtrace - Track Your Brand Visibility in AI Search
Beamtrace Glossary

AI visibility glossary

Browse definitions for AI search, answer engines, visibility metrics, and optimization concepts.

AI Answer Mechanics

AI factuality

Explore the concept of AI factuality and how AI systems evaluate information accuracy before generating responses.

AI hallucination

Learn what AI hallucinations are, why they occur, and how inaccurate or unsupported information can appear in AI outputs.

Grounding

Understand how grounding helps AI systems verify information against trusted sources before generating answers.

Hybrid retrieval

Learn how hybrid retrieval combines keyword-based and semantic search techniques to improve information discovery and relevance.

Knowledge cutoff

Learn what a knowledge cutoff is and how it defines the latest information available within an AI model's training data.

LLM (Large Language Model)

Learn what a Large Language Model (LLM) is and how it enables AI systems to understand language and generate human-like responses.

Model training data

Discover what model training data is and how it provides the information AI systems use to learn language and concepts.

Prompt

Discover what a prompt is and how user instructions guide the responses generated by AI systems.

Prompt sensitivity

Learn how prompt sensitivity affects AI outputs and why small wording changes can influence answers and citations.

RAG (Retrieval-Augmented Generation)

Learn what Retrieval-Augmented Generation (RAG) is and how AI systems use external sources to improve answer accuracy and freshness.

Semantic search

Learn how semantic search focuses on meaning and context rather than exact keyword matches to improve relevance.

Vector search

Discover how vector search uses semantic similarity rather than exact keywords to find related information and content.

AI Visibility Metrics

AI visibility

Explore how AI visibility measures a brand's presence across AI-generated answers, recommendations, and citations.

AI visibility score

Understand the factors behind an AI visibility score and how it helps evaluate a brand's exposure across AI platforms.

Average position

Learn how average position measures where a brand appears within AI-generated citations, source lists, and recommendations.

Brand mention

Learn what constitutes a brand mention in AI-generated content and how mentions contribute to overall visibility.

Citation

Discover how citations connect AI-generated answers to their sources and why cited content often gains greater visibility.

Citation rate

Learn how citation rate measures the frequency with which a brand or website appears as a source in AI-generated answers.

Inline citation

Learn how inline citations appear directly within AI-generated responses to identify and reference supporting sources.

JSON-LD

Understand JSON-LD, a structured data format used to help search engines and AI systems interpret website content more effectively.

Mention frequency

Understand how mention frequency measures how often a brand appears across AI-generated answers and industry-related queries.

Mention rate

Learn how mention rate tracks the percentage of AI responses that reference a specific brand, company, or product.

Query coverage

Understand how query coverage measures the range of relevant searches where a brand appears in AI-generated responses.

Recommendation frequency

Discover how recommendation frequency measures how often AI systems suggest a brand, product, or service in relevant queries.

Sentiment analysis

Understand how sentiment analysis evaluates whether brand mentions are positive, neutral, or negative across AI content.

Share of Voice (AI SOV)

Learn how AI Share of Voice measures a brand's share of mentions and citations compared with competitors in AI-generated answers.