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

# Brand Mentions

> Explore individual instances where brands appear in AI responses.

## The Mentions Table

| Column          | Shows                                |
| --------------- | ------------------------------------ |
| Prompt          | The question asked                   |
| Brand           | Brand mentioned                      |
| Mention Snippet | How the brand was mentioned          |
| Sentiment       | Positive, Negative, or Neutral       |
| Position        | Rank in response (1st, 2nd, etc.)    |
| Service         | The service that mentioned the brand |
| Date            | When collected                       |

Click any row to see the full AI response.

## Filters

* **Brand** - View specific brand's mentions
* **Date Range** - Time period
* **Topics** - Filter by prompt topic categories
* **Tags** - Filter by custom prompt labels
* **Services** - Focus on specific platforms
* **Geos** - Filter by country

## Sentiment

The sentiment is measured *towards the brand*. For example, if a brand is shown in a positive light within a negative topic, it will return "positive" rather than negative.

| Type     | Meaning                                               |
| -------- | ----------------------------------------------------- |
| Positive | Favourable ("excellent choice", "highly recommended") |
| Neutral  | Factual, no strong tone                               |
| Negative | Criticism or concern mentioned                        |

## Position

Position 1 = mentioned first (highest prominence). First-mentioned brands get more attention.

## What to Look For

* **How you're described:** What adjectives, features highlighted?
* **Accuracy:** Any incorrect or outdated information?
* **Patterns:** Recurring strengths or criticisms?
* **Comparison:** How do competitors' mentions differ?

## Export

Click **Export** for Excel download of all mention data based on current filters.

## Tips

* Review weekly - read actual snippets, not just counts
* Focus on your brand first, then compare to competitors
* Negative mentions may signal issues to address
* Look for patterns across multiple mentions, not individual ones