> ## 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.

# Benchmarking

> How to evaluate your AI visibility metrics against industry standards and competitors.

AI visibility is still a young field, and what counts as a "good" score varies widely by industry. Benchmarking gives your numbers meaning by comparing them to a baseline and to your competitors.

## Establish a baseline

Spend your first few weeks watching your scores settle before setting targets. This baseline shows your brand's natural range and gives you a realistic starting point for measuring growth.

## Benchmark against competitors

The most useful comparison is against your direct rivals. Use the [Industry ranking](/dashboard/industry-ranking) table to line up your metrics with your competitive set:

* **Visibility** — if the leader is far ahead, find the categories where they out-mention you and focus there.
* **Placement** — if rivals are consistently positioned ahead of you, your content may not yet read as authoritative enough to be the top pick.
* **Sentiment** — compare your tone to the category to see whether reputation is an advantage or a liability.

## Benchmark by category

Always benchmark within your prompt categories. A brand might dominate branded queries while barely appearing in broader category questions. Looking category by category tells you whether you're only visible to people who already know you — or genuinely winning new audiences through AI.

<Tip>
  Set targets relative to your competitors and your own trend, not to an absolute number. Beating last month and closing the gap on the leader are the goals that matter.
</Tip>