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Definition of visibility

Visibility is the primary metric used to quantify how often your brand appears in AI-generated responses. It represents the percentage of total prompts within your library where the AI model explicitly mentions your brand or products. This metric allows you to move beyond anecdotal evidence and measure your true reach in the AI landscape.

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How visibility is calculated

KIME calculates visibility by analyzing every response generated across your selected models and locations. The formula is the number of successful brand mentions divided by the total number of prompts tracked. For example, if you track 100 prompts and your brand is mentioned in 40 of them, your visibility score is 40%. This calculation provides a clear benchmark that you can compare across different AI models, such as ChatGPT and Claude, to see where your brand has the strongest presence.

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Interpreting visibility scores

High visibility indicates that your brand is a well-recognized entity within the AI model’s training data and retrieval sources. However, visibility should be analyzed alongside other metrics:
  • Market share: Compare your visibility percentage to your competitors to determine your relative dominance in a category.
  • Model variance: Identify if your brand is highly visible in one model but invisible in another, which may indicate gaps in your technical SEO or content indexing.
  • Category performance: Use filters to see if your visibility is concentrated in specific product lines while others are underperforming.

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Improving your visibility

To increase your visibility score, you must influence the sources that AI models use to generate answers. This involves ensuring your brand is mentioned on high-authority websites, industry news outlets, and expert review platforms. As AI models update their indexes and training sets, these third-party mentions help establish your brand as a relevant answer for the queries in your prompt library.