> ## Documentation Index > Fetch the complete documentation index at: https://docs.kime.ai/llms.txt > Use this file to discover all available pages before exploring further. # Visibility > How present your brand is across the AI answers you track. **Visibility** measures how present your brand is in AI answers. It tells you how much of your tracked prompt library surfaces your brand, expressed as a percentage so you can compare it cleanly across models, markets, and time. A higher visibility score means AI models recognize your brand and bring it up across more of the questions your customers ask. ## How to read it Visibility is most useful in context, not in isolation: * **Versus competitors** — compare your visibility to your competitive set to gauge how dominant you are in the category. * **Across models** — you may be highly visible in one model and nearly absent in another, which points to where you have room to grow. * **By category** — filter by category to see whether your visibility is concentrated in a few product lines while others lag. ## How to improve it AI models build their answers from the content and sources they trust. To raise your visibility, focus on becoming a more common and credible part of that landscape: * Earn mentions on high-authority sites, industry publications, and respected review platforms. * Make sure your brand is clearly represented in the content people reference when researching your category. * Track your progress over time — visibility responds gradually as the broader content ecosystem updates. Pair visibility with [Placement](/metrics/placement) and [Sentiment](/metrics/sentiment). Being mentioned is the first step; being mentioned prominently and positively is what wins customers.