> ## 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.

# Brand Perception

> Analyze how AI models perceive and describe your brand across different contexts

## Overview

Navigate to **Analyze > Perception** in the left navigation menu.

Brand Perception analyzes how AI models (ChatGPT, Perplexity, etc.) describe your brand. Monthly snapshots track your perception over time.

## Key Metrics

| Metric              | Description                                             | Range  |
| ------------------- | ------------------------------------------------------- | ------ |
| **Sentiment Score** | How positively AI models describe your brand            | 0-100% |
| **Alignment Score** | How accurately AI responses reflect your brand identity | 0-100% |

### Score Zones

| Score  | Zone            | Color  |
| ------ | --------------- | ------ |
| 70-100 | Strong          | Green  |
| 40-69  | Moderate        | Yellow |
| 0-39   | Needs attention | Red    |

## Dashboard KPIs

At the top, you'll see:

* **Current Sentiment Score** with trend vs previous
* **Current Alignment Score** with trend vs previous
* **Next scheduled analysis** date

## Score Evolution Chart

Track your scores over time with:

* Sentiment line (green)
* Alignment line (blue)
* Average indicators
* Best month highlight
* Zone backgrounds (green/yellow/red)

## Analysis History

Table showing all snapshots:

| Column        | Description                                       |
| ------------- | ------------------------------------------------- |
| **Period**    | Month and year                                    |
| **Sentiment** | Score badge with color                            |
| **Alignment** | Score badge with color                            |
| **Status**    | Pending, Generating, Analyzing, Completed, Failed |
| **Providers** | AI models used for analysis                       |

Click any completed snapshot to view details.

## Snapshot Detail View

When you click a completed snapshot, you access the full analysis:

### Score Cards

At the top, see the Sentiment Score and Alignment Score for the current view.

### Provider Tabs

Switch between:

* **Overview** — Aggregated results across all AI providers
* **Individual providers** — Results from ChatGPT, Claude, Perplexity, etc.

### Convergence & Divergence (Overview only)

| Section                   | Description                                |
| ------------------------- | ------------------------------------------ |
| **Points of Convergence** | Where AI providers agree about your brand  |
| **Points of Divergence**  | Where AI providers have different opinions |

### Themes Performance

Spider chart showing scores across 10 business dimensions. Each theme includes:

* Score (0-100%)
* Sentiment (positive, neutral, negative)
* Summary explanation

### Brand Attributes Alignment

Your configured attributes with alignment status:

| Status      | Color  | Meaning                                |
| ----------- | ------ | -------------------------------------- |
| **Aligned** | Green  | AI describes this attribute accurately |
| **Partial** | Yellow | AI mentions this but incompletely      |
| **Missing** | Red    | AI doesn't recognize this attribute    |

### SWOT Analysis

Key insights organized by category:

| Category          | Description                           |
| ----------------- | ------------------------------------- |
| **Strengths**     | What AI models highlight positively   |
| **Weaknesses**    | Areas where AI perception is negative |
| **Opportunities** | Gaps you could improve                |
| **Threats**       | Risks to monitor                      |

Each insight shows impact level (High, Medium, Low) and related theme.

Toggle between compact (2x2 grid) and detailed (table) views.

### AI Responses (Provider tabs only)

Table of all prompts sent to the AI provider:

| Column                | Description                              |
| --------------------- | ---------------------------------------- |
| **Prompt / Response** | The question asked                       |
| **Sources**           | Websites cited in the response           |
| **Type**              | Sentiment or Alignment prompt            |
| **Bias**              | Positive, Negative, Neutral, Comparative |

Click any row to expand and see the full AI response with all sources.

### Snapshot Status

| Status         | Description          |
| -------------- | -------------------- |
| **Pending**    | Waiting to start     |
| **Generating** | Calling AI providers |
| **Analyzing**  | Processing responses |
| **Completed**  | Analysis finished    |
| **Failed**     | Error occurred       |

## Brand Attributes

Before running an analysis, configure your brand attributes. These define what your brand identity should be.

* Exactly **5 attributes** required
* Click **Edit Attributes** to configure
* Attributes are compared against AI descriptions

## How It Works

1. Qwairy sends prompts about your brand to multiple AI providers
2. Each provider generates responses describing your brand
3. Responses are analyzed for sentiment (positive/negative tone)
4. Responses are compared to your brand attributes for alignment
5. Scores are aggregated into monthly snapshots

## Use Cases

| Use Case                | Description                                                    |
| ----------------------- | -------------------------------------------------------------- |
| **Track brand health**  | Monitor how AI perception changes over time                    |
| **Identify gaps**       | Find discrepancies between your messaging and AI understanding |
| **Compare providers**   | See which AI models describe you most favorably                |
| **Measure improvement** | Track impact of content and SEO efforts                        |

## Pagination

10 snapshots per page, with navigation controls.

## Related use cases

* [Is the AI perception of my brand aligned with our actual positioning?](/use-cases/reputation/ai-perception-vs-positioning)
* [What are the strengths and weaknesses AI associates with my brand?](/use-cases/reputation/strengths-and-weaknesses-in-ai)
* [Do different AI providers describe my brand consistently?](/use-cases/reputation/brand-consistency-across-providers)