What is LLM Visibility?
LLM visibility is the degree to which a brand appears, is cited, and is recommended in the answers that large language models like ChatGPT, Claude, and Gemini generate.
LLM visibility is the degree to which a brand appears, is cited, and is recommended in the answers that large language models like ChatGPT, Claude, and Gemini generate. It is the AI-search counterpart to the rankings you used to track on Google, and for many categories it now decides who the buyer considers first.
How LLM visibility is measured#
LLM visibility is not a single score; it is a set of signals you watch over time:
- Presence. Does the model mention your brand at all for a given prompt?
- Prominence. Where in the answer do you appear, and are you the recommendation or an afterthought?
- Citations and sources. Which domains does the model cite, and are any of them yours?
Aggregated across a prompt set and tracked weekly, these roll up into your share of voice per model.
Why LLM visibility matters#
You can rank first on Google and still be invisible inside ChatGPT. The models read and weigh the web differently, so traditional SEO success does not guarantee a mention in the answer. As buyers shift their first question from the search bar to the chat window, LLM visibility becomes the metric that maps most directly to whether a model puts you in front of a buyer.
How to improve LLM visibility#
The levers are the same ones behind generative engine optimization: publish clear, extractable content, earn mentions on the sources models trust, and close the specific gaps where an answer engine cites competitors and not you. Measuring is table stakes; the work is what moves the number.
![The same question, 'what is the best [category] tool?', answered twice. Before the AEO work: the assistant recommends Competitor A (cited from G2) and Competitor B (praised on Reddit), and your brand is not mentioned. After the work: the assistant names Competitor A, Competitor B and your brand, now cited from a comparison guide.](/figures/gl-llm-absent-to-cited.png)
How Visibly measures LLM visibility#
Visibly tracks your visibility across every major large language model, benchmarks it against named competitors, and shows which sources drive the result, then ships the work to improve it. Run a free AI visibility audit to see your LLM visibility now.
LLM visibility is the AI-search counterpart to the Google rankings you used to track.
- How do you measure LLM visibility?
- Why is my brand not showing up in ChatGPT?
- How is LLM visibility different from SEO visibility?
Frequently asked questions
How do you measure LLM visibility?
Run a set of buyer prompts across the major models, then record whether your brand is mentioned, where in the answer it appears, and which sources are cited. Aggregated over time, this gives you a share of voice number and a clear trend for each model.
Why is my brand not showing up in ChatGPT?
Usually because the sources a model reads do not describe your brand clearly, or competitors are described better. The fix is extractable content on your own pages plus mentions on the high-authority sites and communities the model trusts, so it has something credible to cite.
How is LLM visibility different from SEO visibility?
SEO visibility is about ranking in a list of links. LLM visibility is about being named inside a generated answer. You can rank well on Google and still be absent from ChatGPT, because models weigh clarity, source authority, and community presence differently than the classic ranking signals.