Data Fields
Complete reference of dimensions and metrics available in the Aurora Looker Studio Connector.
The Aurora connector provides different fields depending on the Data Type selected during configuration. All fields are dimensions — you choose the aggregation (Sum, Average, Count, etc.) when building your charts.
Brand Visibility
Shows how brands are mentioned and cited across AI platforms.
| Field | Type | Description |
|---|---|---|
| Brand | Text | The Brand name of your company and that of your competitors |
| Date | Date | The Date of the data point |
| Domain | Text | The Domain of the brand |
| Mentions | Number | The number of times a Brand was mentioned in AI responses |
| Model | Text | The AI Model used to analyze your prompts |
| Prompt | Text | The Prompts that the customer created |
| Source Citation | Number | The number of times a Brand was cited as a source by AI |
| Visibility | Number | The Visibility of Brands in the AI generated responses |
Citations
Detailed citation data from AI responses. Each row represents a single cited source.
| Field | Type | Description |
|---|---|---|
| Date | Date | The Date of the data point |
| Domain | Text | The Domains of the sources cited / used by the AI |
| Model | Text | The AI Model used to analyze your prompts |
| Position | Number | The Position of the citation in the AI generated response |
| Prompt | Text | The Prompts that the customer created |
| Title | Text | The Title of the cited source |
| Url | Text | The Urls of the sources cited / used by the AI |
| Url Classification | Text | The classification category of cited URLs (e.g. blog, news, product, documentation) |
Keywords
Keyword frequency data extracted from AI responses.
| Field | Type | Description |
|---|---|---|
| Count | Number | The frequency count of the keyword |
| Date | Date | The Date of the data point |
| Keyword | Text | Keywords extracted from AI responses |
| Model | Text | The AI Model used to analyze your prompts |
| Prompt | Text | The Prompts that the customer created |
Calculated Fields
You can create calculated fields in Looker Studio using the built-in fields. Common examples:
Average Visibility by Model
AVG(Visibility)Group by Model to see how your brand performs across different AI platforms.
Mention Share
SUM(Mentions) / (SELECT SUM(Mentions))Your brand's share of total mentions across all brands.
Visibility Trend
Use Date as the dimension with AVG(Visibility) as the metric to track visibility changes over time.
Data Freshness
Data in the connector reflects your campaign's tracking schedule. Most campaigns update daily. The connector fetches the latest available data each time Looker Studio refreshes the report.
To control refresh frequency in Looker Studio, go to Resource → Manage added data sources → Edit → Data freshness.