The AI search glossary

AI brand visibility is how often and how favorably AI assistants name your brand when answering buyer questions. Learn how to measure and improve it.

AI search market share is each AI assistant's slice of total AI search usage. Learn how it is measured, why sources disagree, and how to use it.

AI search monitoring is the ongoing practice of tracking what AI engines say about your brand. Learn how it works, what to track, and how often to run it.

AI search visibility is how present your brand is in AI search surfaces like AI Overviews, AI Mode, and Perplexity. Learn how it differs from model knowledge.

AI search volatility is how much AI answers change between runs and over time. Learn what causes it and how to measure visibility despite it.

AI traffic is website visits that come from AI assistants like ChatGPT and Perplexity, plus the crawler visits those engines make. Learn how to track both.

AI visibility is how present your brand is across AI assistants: mentioned, cited, and described accurately. Learn the three types and how to measure each.

An AI visibility audit measures how often AI engines name and cite your brand, then identifies what to fix. Learn what a real audit checks and what to ignore.

Answer share is the percentage of tracked AI answers where your brand appears. Learn the formula, how it differs from share of voice, and how to measure it.

A brand mention is any instance of your brand's name appearing in an AI answer, linked or not. Learn how mentions are tracked and why they matter.

Brand sentiment is how positively or negatively people and AI engines describe your brand. Learn how sentiment is measured, scored, and improved.

Citation accuracy is whether AI engines represent your cited pages correctly. Learn how to audit it, what causes errors, and how to fix them at the source.

Citation frequency is how often AI engines cite your pages as sources. Learn how it is calculated, what it reveals, and how it differs from mention rate.

Citation intelligence is the practice of analyzing AI citation data to decide where to publish and what to fix. Learn what it covers and how teams use it.

Citation monitoring tracks when AI engines cite your pages as sources in their answers. Learn what to measure, how tracking works, and which metrics matter.

Citation velocity is the rate at which your AI citations grow or decline over time. Learn how to calculate it and why it moves before your visibility does.

Click-through rate (CTR) is the share of people who click after seeing your ad or listing. Learn the CTR formula, current benchmarks, and how to improve it.

Competitive displacement is winning a customer by replacing a competitor's product that is already in use. Learn how displacement deals work and how to run them.

First-party data is information you collect directly from your own customers and channels. Learn how it differs from second, third, and zero-party data.

LLM visibility is how often and how favorably large language models mention your brand in their answers. Learn how to measure it and what moves it.

Prompt intelligence is knowing which questions buyers ask AI engines and how those answers behave. Learn how to build a prompt set and why it beats keywords.

Share of voice is your brand's share of all conversation in a market, including AI answers. Learn the formula, what it predicts, and how to measure it.

Synthetic traffic is automated, scripted traffic that a tool sends to a website, API, or network on a schedule instead of real users. Teams use it to test uptime, speed, and key flows before a customer notices a problem.