> ## 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.

# Data & accuracy

> What Kime's metrics can and can't tell you, so you can interpret them with confidence.

Kime gives you a consistent, comparable way to measure AI visibility. As with any measurement of AI behavior, it helps to understand what the data represents — and what it doesn't.

## AI answers vary

AI models are non-deterministic: the same question can produce slightly different answers each time. Kime's metrics are designed as a reliable strategic signal — a high-level view of trends and patterns — rather than an exact count of every mention across the entire AI ecosystem.

## Results differ by model

Your scores reflect the specific prompts and models you track. Because each model is trained and updated differently, your performance will naturally vary between them.

* **Model updates** — a sudden shift can come from a model changing how it answers, not from anything you did.
* **Live web results** — models that browse the web in real time may surface different sources from one moment to the next.
* **Market differences** — results are tracked at the country level, so very local variations may differ from what Kime reports.

## Patterns over precision

AI models don't publish ranking factors the way search engines describe theirs. Kime can show you **where** you appear, **how** you're positioned, and the **tone** of each mention — use these to spot patterns and correlations and to guide strategy, rather than treating any single number as an exact, fixed measurement.

## A strategic tool

Metrics refresh on a regular cycle, so the dashboard reflects daily, weekly, and monthly trends rather than live, second-by-second activity. That makes Kime ideal for steering long-term content and optimization strategy and measuring its impact over time.

<Tip>
  When a number moves sharply, check whether it lines up across several brands. A category-wide shift usually points to a model change rather than something specific to your brand.
</Tip>