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Establishing your baseline

The first step in benchmarking is establishing a baseline during your first 30 days of tracking. AI visibility is a relatively new field, and “good” scores can vary significantly by industry. By monitoring your AI Performance Score over a month, you can identify your brand’s natural fluctuations and set realistic targets for growth.

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Competitive benchmarking

The most effective way to benchmark your performance is against your direct rivals. Use the Industry Ranking table to compare your metrics side-by-side with your competitive set.
  1. Visibility Benchmark: If the market leader has 60% visibility and you have 20%, your goal is to identify the specific prompt categories where they are outperforming you.
  2. Placement Benchmark: If your average placement is 3.5 but the industry average is 2.1, your content may not be authoritative enough for the AI to prioritize it as a top recommendation.
  3. Sentiment Benchmark: Compare your sentiment score to the category average to see if your brand reputation is a competitive advantage or a liability.

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Strategic targets

While every brand is different, KIME suggests the following general benchmarks for a healthy AI presence:
  • Visibility: Aim for a visibility score that is at least 1.5x higher than your closest competitor in your primary product category.
  • Placement: A placement score below 2.0 indicates you are a primary recommendation.
  • Sentiment: A score above 70 is considered strong, indicating that the majority of AI mentions are positive or neutral.

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Contextualizing your data

Always benchmark your data within the context of your specific prompt categories. A brand may have 80% visibility in “Branded” prompts but only 5% in “Non-branded” industry queries. Benchmarking these categories separately allows you to see if you are only visible to people who already know your brand or if you are successfully capturing new audiences through AI recommendations.