What is LLM visibility?
LLM visibility (also called AI visibility or AI share of voice) measures how often a brand, product, or company is mentioned or cited in responses generated by large language models. It is the AI-era equivalent of organic search ranking.
How LLM visibility is measured
LLM visibility is measured by systematically querying AI platforms with target questions and recording how often your brand appears, in what context, with what sentiment, and compared to which competitors. This is what our AI Visibility Checker is designed to quantify.
Improving LLM visibility requires building brand signals that LLMs train on: authoritative mentions in high-quality publications, consistent structured data that clarifies your entity, citation-worthy content that answers the questions LLMs are frequently asked, and a strong Wikipedia or Knowledge Graph entity.
Example
Example
A brand that appears in ChatGPT responses for "top AEO agencies" 60% of the time, versus a competitor that appears 20% of the time, has 3x the LLM visibility for that category.
Frequently asked questions
How do I improve my brand’s LLM visibility?
Build the signals models train and retrieve on: authoritative third-party mentions, consistent entity descriptions across the web, structured data, and citation-worthy content that answers the questions buyers ask AI.
How often should LLM visibility be tracked?
Monthly at minimum. AI engines update retrieval indexes and models continuously, so citation share moves faster than organic rankings; a recurring prompt-set audit catches gains and losses early.