Glossary
GEO Measurement & KPIs
Metrics, tracking methodologies, and key performance indicators for measuring AI visibility and GEO success
AI Citation Share
The percentage of AI-generated answers within a topic or query set that cite, reference, or attribute information to your domain compared to all cited sources.
AI Query Coverage
A metric measuring the breadth of AI-generated responses in which your brand, content, or domain appears—specifically, what percentage of relevant queries in your topic space result in AI responses that include you.
AI SERP Layer Analysis
AI SERP Layer Analysis is the systematic examination of AI-generated content that appears within search engine results pages, including AI Overviews (formerly SGE), conversational assistant outputs, featured AI snippets, and integrated LLM responses. This practice involves dissecting how AI systems synthesize, present, and attribute information when answering search queries—analyzing source selection, content summarization patterns, citation behavior, and presentation formatting. Unlike traditional SERP analysis focused on rankings and click-through rates, AI SERP Layer Analysis examines the generative layer where AI creates new content by combining multiple sources, understanding how your content is being interpreted, quoted, paraphrased, or ignored in these synthesized responses.
AI Traffic Attribution
AI Traffic Attribution is the practice of identifying, measuring, and analyzing website visits that originate from AI-powered systems, including conversational AI assistants (ChatGPT, Claude, Gemini), AI-integrated search engines (Perplexity, Bing Copilot, Google AI Overviews), AI agents, and other LLM-powered interfaces. This involves detecting AI-driven traffic through referrer analysis, user agent identification, behavioral pattern recognition, and UTM parameter tracking—then attributing this traffic to specific AI sources, conversations, and content touchpoints to understand AI's role in the customer journey and optimize accordingly.
Citation Probability
Citation Probability is the statistical likelihood that a specific piece of content, webpage, or domain will be selected, referenced, or attributed by a large language model when generating responses to relevant queries. Unlike deterministic ranking systems, LLMs operate probabilistically—the same query may produce different citations across multiple generations. Citation Probability quantifies this likelihood as a measurable metric, enabling content optimization based on the factors that increase the probability of being selected as a source: authority signals, content structure, topical relevance, freshness, and machine readability. It represents the fundamental unit of GEO measurement at the content level.
LLM Mentions Tracking
The systematic monitoring and measurement of how often and in what context your brand, products, or content are mentioned across different large language models including ChatGPT, Claude, Gemini, Perplexity, and other AI systems.
Prompt-Based Visibility Testing
A systematic methodology for testing and measuring AI visibility by using controlled, standardized prompts across AI platforms to evaluate how consistently and accurately your brand appears in generated responses.
Synthetic Query Monitoring
The practice of maintaining fixed, unchanging sets of queries that are regularly tested against AI systems to track visibility changes over time, providing consistent benchmarks unaffected by query set evolution.
Zero-Click Visibility (AI)
Zero-Click Visibility (AI) is a measurement paradigm for quantifying brand and content presence within AI-generated responses where users receive complete answers without clicking through to source websites. Unlike traditional zero-click search (featured snippets, knowledge panels), AI zero-click visibility occurs when large language models synthesize responses from training data, retrieved content, or real-time web access—often without any visible attribution or outbound links. This metric captures the shadow economy of AI influence: the brand impressions, information dissemination, and authority building that occurs entirely within AI interfaces, disconnected from conventional traffic-based measurement.