> ## 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.

# Matrix Analysis

> Cross-dimensional analysis to compare brands, services, countries, and topics side by side.

The **Analyse** tab provides a pivot table view that lets you compare any two dimensions against each other, with your choice of metric. This is the most powerful analysis tool in Surfacd.

## How It Works

Choose what goes on the **rows**, what goes on the **columns** and which **metric** to display in each cell.

### Dimensions

| Dimension | Shows                                                |
| --------- | ---------------------------------------------------- |
| Brand     | Your primary brand and competitors                   |
| Topic     | Prompt categories (AI-generated or manually created) |
| Tag       | Custom labels you've applied to prompts              |
| Service   | AI platforms (ChatGPT, Gemini, Perplexity, etc.)     |
| Country   | Geographic regions                                   |

### Metrics

| Metric           | Measures                                      |
| ---------------- | --------------------------------------------- |
| Visibility Score | % of responses mentioning the brand           |
| Industry Rank    | Position relative to competitors (#1 = best)  |
| Mention Count    | Total number of mentions                      |
| Avg. Position    | Average position when mentioned in a response |

## Reading the Matrix

Each cell shows the value for that row/column combination. For example:

Analyse **Visibility** comparing **Brands** by **Service**

| Brand   | ChatGPT | Gemini | Copilot |
| ------- | ------- | ------ | ------- |
| Brand A | 82%     | 76%    | 70%     |
| Brand B | 60%     | 68%    | 65%     |
| Brand C | 45%     | 51%    | 58%     |
| Brand D | 92%     | 87%    | 90%     |

Shows each brand's visibility on each AI platform.

Analyse **Industry Rank** comparing **Topics** by **Country**

| Topic            | United States | United Kingdom |
| ---------------- | ------------- | -------------- |
| Enterprise CRM   | 1             | 2              |
| Email Marketing  | 3             | 1              |
| Sales Automation | 2             | 5              |
| Data Analytics   | 10            | 10             |

Shows how you rank by topic in each country.

<Card icon="lightbulb">
  To filter the report by **Topic**, **Tag**, **Service**, or **Country**, make sure you have:

  * Enabled the relevant services when [setting up your project](getting-started)
  * Selected the desired countries for prompts when [adding prompts](managing-prompts)
  * Created topics and tags ([Topics & Tags](tags-organisation))
</Card>

## Change Tracking

Toggle **Show Changes** to see how values shifted compared to the previous period. Changes display as:

* **Green** with ↑ = Improved
* **Red** with ↓ = Declined
* **Grey** = No change

The comparison period matches the length of your selected date range (e.g. if viewing the last 7 days, changes compare against the 7 days before that).

## Filters

The matrix respects all global filters:

* **Brand** - Select specific brand to compare against
* **Date Range** - Time period for calculations
* **Topics** - Filter by prompt topic categories
* **Tags** - Filter by your custom prompt labels
* **Services** - Focus on specific AI platforms
* **Geos** - Country-specific data

## Export

Click **Export** to download the matrix as an Excel file. The export includes all visible data based on your current dimension, metric, and filter selections.

## Tips

* Start with **Brand vs Service** to see where you're strongest and weakest across platforms
* Use **Topic vs Brand** to see which categories each competitor dominates
* Use **Tag vs Brand** for cross-cutting analysis by your custom labels
* **Country vs Service** reveals regional differences in AI responses
* Toggle changes on/off to spot trends vs. viewing absolute values
* Combine with the competitors filter for focused competitive analysis
