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
- Domains cited by AI answer engines (ChatGPT, Perplexity, Gemini, etc.)
- Citation frequency and average citation position
- Individual URLs cited across answer engines
- Which of your tracked brands are mentioned on each source
- Citation counts and positions
How to connect
- Get a Kime API key
- In the Kime dashboard, go to Settings → API Keys and create a new key.
- The key must have the
workspacesscope plus the scope for the dataset you want (metrics,domains, orsources). - See API access for details on creating keys.
- Add the connector in Looker Studio
- Click this link to add the Kime connector directly: Add Kime Connector to Looker Studio →
- When prompted, click Authorize to allow the connector to run.
- Paste the Kime API key you created in step 1.
- 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.
- Build your report
- Use the date range control to filter by time period (defaults to last 7 days).
- Add charts using dimensions like
BrandorDomainand metrics likeVisibilityorUsed 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
- Support: Contact us at team@kime.ai