> ## 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 Studio Connector

> Connect your Data Studio (Looker Studio) to Kime

Bring your Kime AI visibility analytics directly into Looker Studio (formerly Google Data Studio) to build custom dashboards and reports.

### **What you can access**

The connector pulls data from your Kime workspace via the Kime API:

**Brand Metrics**

* Visibility, placement, sentiment, and share of voice scores per brand
* Period-over-period deltas for each metric
* Brand ranking within your tracked competitive set

**Source Domains**

* Domains cited by AI answer engines (ChatGPT, Perplexity, Gemini, etc.)
* Citation frequency and average citation position

**Source URLs**

* Individual URLs cited across answer engines
* Which of your tracked brands are mentioned on each source
* Citation counts and positions

All data respects the date range you set in your Looker Studio report.

### **How to connect**

1. **Get a Kime API key**
   * In the Kime dashboard, go to **Settings → API Keys** and create a new key.
   * The key must have the `workspaces` scope plus the scope for the dataset you want (`metrics`, `domains`, or `sources`).
   * See [**API access**](https://docs.kime.ai/api-access) for details on creating keys.
2. **Add the connector in Looker Studio**
   * Click this link to add the Kime connector directly:
     [**Add Kime Connector to Looker Studio →**](https://lookerstudio.google.com/datasources/create?connectorId=AKfycbxjZpuqH7B_BVnVtNJBzgeq3sZ6k_zHYKRg2SD5KWS_cvIWq48goPIJZ1hAa0bTmqZFvQ)
   * When prompted, click **Authorize** to allow the connector to run.
   * Paste the Kime API key you created in step 1.
3. **Configure the data source**
   * Select your **Workspace** from the dropdown.
   * Choose a **Dataset**: Brand metrics, Source domains, or Source URLs.
   * Optionally filter by specific answer engines (e.g., `chatgpt`, `perplexity`, `claude`).
   * Click **Connect**.
4. **Build your report**
   * Use the date range control to filter by time period (defaults to last 7 days).
   * Add charts using dimensions like `Brand` or `Domain` and metrics like `Visibility` or `Used count`

### **Supported answer engines**

Filter results by any combination of: `chatgpt`, `perplexity`, `claude`, `gemini`, `google-ai-overview`, `google-ai-mode`

### **Data refresh**

Looker Studio fetches fresh data from Kime each time you view or refresh the report. There is no cached copy — you always see current analytics.

### **Need help?**

* **API documentation**: [https://docs.kime.ai/api-access](https://docs.kime.ai/api-access)
* **Support**: Contact us at [team@kime.ai](mailto:team@kime.ai)