> ## Documentation Index
> Fetch the complete documentation index at: https://docs.qwairy.co/llms.txt
> Use this file to discover all available pages before exploring further.

# Answer Details

> Per-answer metadata (prompt, funnel, topic) for granular analysis in Looker Studio.

Per-answer metadata for granular, response-level analysis. Each row represents a single AI response, with its prompt, funnel stage, topic, and mention metrics. This source returns answer metadata only, not the response text itself.

<Tabs>
  <Tab title="Dimensions">
    | Field        | Type | Description                           |
    | ------------ | ---- | ------------------------------------- |
    | `date`       | Date | Response date (YYYY-MM-DD)            |
    | `provider`   | Text | AI provider name                      |
    | `model`      | Text | Specific model name                   |
    | `questionId` | Text | Question unique identifier            |
    | `prompt`     | Text | Prompt text (truncated to 200 chars)  |
    | `funnel`     | Text | Query intent stage (TOFU, MOFU, BOFU) |
    | `topic`      | Text | Associated keyword/topic              |
  </Tab>

  <Tab title="Metrics">
    | Field             | Type    | Description                  |
    | ----------------- | ------- | ---------------------------- |
    | `brandMentioned`  | Boolean | True if brand was mentioned  |
    | `brandMentions`   | Number  | Total brand mentions count   |
    | `brandPosition`   | Number  | First brand mention position |
    | `sourceCitations` | Number  | Total source citations count |
    | `sentiment`       | Percent | Sentiment score (0-100)      |
  </Tab>
</Tabs>

## Best For

* Granular, answer-level breakdowns by provider and model
* Slicing visibility by funnel stage and topic
* Debugging specific prompts
* Tracking per-answer brand mentions, position, and sentiment