LLM Visibility
Quick answer
LLM visibility is how often, and how accurately, a brand is named when someone asks a large language model chat engine, such as ChatGPT, Claude or Gemini, a relevant buying or comparison question. It is the chat-engine-specific slice of the broader AI-visibility picture.
Why it matters
A brand can have strong classic SEO and still be invisible, or described inaccurately, inside an LLM's answer, because the model draws on a different and often narrower mix of sources than a search ranking does. For a buyer who asks an LLM directly instead of searching, that answer is the entire impression the brand gets to make, with no results page underneath it to fall back on. It also moves differently from search traffic. A brand's rankings and site visits can hold steady while the way chat engines describe it drifts, so the two need separate checks rather than one assumed to stand in for the other.
How to measure it
Run a fixed set of buying questions through each LLM chat engine that matters for the market on a repeating schedule, and record whether the brand is named, how it's described, which competitors appear alongside it, and which sources the model's answer seems to lean on. MarketHQ runs this check weekly across ChatGPT, Claude, Gemini, Perplexity, Grok and DeepSeek on paid plans, turning scattered one-off checks into a comparable weekly record. Record the full answer text each run, since the position a brand is mentioned in, the adjectives used and the competitors named beside it carry more information than a simple present or absent flag.
Example
A company assumes its LLM visibility is fine because it ranks well on Google. A weekly check across chat engines shows one of them never mentions the brand at all for its core buying question, while another names it accurately but third, behind two competitors it didn't know were being recommended more often, a gap that a Google ranking check alone would never have surfaced.
Frequently asked questions
Is LLM visibility the same as AI visibility?
LLM visibility is the part of AI visibility specific to large language model chat engines; AI visibility is the broader umbrella that can also include other AI-powered search surfaces a buyer might use instead.
How often should LLM visibility be checked?
Weekly is enough to catch real drift for most brands; models and their sources don't change fast enough for daily checks to add much.
Which engines does MarketHQ check for LLM visibility?
ChatGPT, Claude, Gemini, Perplexity, Grok and DeepSeek, run weekly on paid plans, with gap analysis and action plans built from the same data.
Why might two LLMs describe the same brand differently?
Each model draws on a different mix of training data and retrieved sources, so one engine naming a brand accurately doesn't guarantee another engine will describe it the same way.
Related terms
Related
MarketHQ tracks brand mentions across communities, news, blogs, social and AI answers, and turns them into gap analysis and action plans.