What is AI Visibility?
AI visibility is how often, how prominently and how positively your brand appears in answers generated by AI assistants such as ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews. It is the AI counterpart of search visibility: instead of rankings, it measures your presence inside the answers people read.
AI visibility is an outcome, not a tactic. Generative Engine Optimization, AEO and LLM optimization are ways to improve it. AI visibility is what you measure to see whether that work pays off.
It is built from several signals: brand mentions (are you named?), citations (is your content used as a source?), position (are you named first or last?), sentiment (how are you described?) and share of voice (how do you compare with competitors?).
Why AI Visibility matters for your brand
AI assistants increasingly shape which options buyers consider before they visit any website. When assistants consistently recommend a competitor, that competitor wins the research stage, and you never see the lost opportunity in your own funnel.
Much of this happens out of sight. Many AI answers produce no click, so their influence does not show up in web analytics or rank trackers. You can rank first on Google and still be missing from AI answers, and without measuring AI visibility directly you cannot tell which situation you are in.
How to measure AI Visibility
Define your prompts. Choose the questions your audience asks, including comparisons and "best tool for..." questions, not only prompts that contain your brand name.
Run them across several models. ChatGPT, Gemini, Perplexity and other assistants often answer the same question differently.
Record the signals. For each answer, note whether you are mentioned or cited, in which position and with what sentiment.
Compare against competitors. Your numbers only mean something next to the brands you compete with.
Repeat daily and review weekly. AI answers vary from one run to the next, so trends matter more than single results.
For a quick first impression, try the free AI visibility checker. Trackbase tracks these signals daily across 11 AI models and combines them into one Visibility Score.
Examples of AI Visibility
A meal kit service appears in most ChatGPT answers about healthy meal boxes but rarely in Gemini answers, which tells the team where to focus first.
A B2B cybersecurity vendor is mentioned often but almost always last in lists, which shows that its visibility problem is position, not presence.
A sustainable fashion brand is named frequently, but several answers describe it as overpriced. Its presence is strong while sentiment holds it back.
A marketing agency reports AI visibility for each client every month, next to organic rankings, so clients see both channels side by side.
Frequently asked questions
How is AI visibility different from SEO visibility?
SEO visibility measures where your pages rank in search results. AI visibility measures whether and how AI assistants mention, cite and describe your brand in their answers. The two are related but not the same: a page can rank well on Google while AI models recommend competitors, because they also weigh reviews, comparisons and other third-party sources.
Can I measure AI visibility in Google Analytics?
Only partly. Google Analytics can show visits that come from AI assistants such as chatgpt.com or perplexity.ai, but it cannot see the many answers that mention your brand without a click, or the answers that recommend a competitor instead. To measure AI visibility itself, you need to run prompts in the AI models and analyze their answers.
What is a good AI visibility score?
There is no universal benchmark, because it depends on your category, your competitors and your prompt set. A new brand in a crowded market will start lower than an established category leader. Focus on your trend over time and your position against direct competitors. A useful rule of thumb: your AI share of voice should at least match your market share.