LLM visibility is how findable and citable a brand is across large language models like ChatGPT, Claude, Gemini, and Perplexity. It's the phrase the market uses for the whole space, even when the actual mechanics are AEO or GEO.
This is a category label more than a technique. When a marketer says the team needs to improve its AI visibility, or goes shopping for an "AI visibility platform," this is the phrase in their head. The disciplines that move it are answer and generative engine optimization; the numbers that pin it down are citation share and prompt coverage. Visibility is what those add up to.
Nobody sets out to buy schema markup. They buy the result, being present in the answers their buyers read, and the tactics are just how they get there. That's why the word sticks in budget conversations and vendor comparisons while the mechanics stay down in the footnotes.
You measure it through the pieces underneath. Citation share for how often you're cited against rivals. Prompt coverage for how many buyer questions you turn up for. And consistency across engines, since a strong showing in one and silence in the others isn't really visibility.
Related terms
- Citation Share: the headline number under visibility
- Prompt Coverage: its breadth dimension
- Answer Engine Optimization (AEO): the main lever for improving it