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

# Visibility Monitoring

> Specific metris on your brand for an AI search engine

To understand and improve how your brand is represented across AI-powered platforms, we track visibility using a structured, multi-dimensional approach. This ensures comprehensive insights into where, when, and how your brand appears in AI-generated search responses.

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  <img src="https://mintcdn.com/quno-e05526a0/RKfuFabmihw8MSdG/images/visibility-monitoring.png?fit=max&auto=format&n=RKfuFabmihw8MSdG&q=85&s=478d3b206c27186e69bcaee43dc986fd" alt="Quno AI Visibility Monitoring Dashboard" width="1481" height="1063" data-path="images/visibility-monitoring.png" />
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## Tracking Dimensions

Each AI response is measured across the following five core dimensions:

### 1. Topic

Prompts are categorized by **topic** — such as running shoes, skincare, banking, or personal finance — to identify how well your brand shows up across different subject areas. This enables precise visibility benchmarking at the product or service level.

### 2. AI Model

We evaluate brand visibility across the most widely-used LLMs, including:

* **ChatGPT** (OpenAI)
* **Claude** (Anthropic)
* **Gemini** (Google)
* **Bing Copilot** (Microsoft)
* **Google AI Overview**
* **Perplexity**
* **Meta** (LLaMA-based models)
* **DeepSeek**
* **and more!**

This cross-model coverage ensures your visibility isn't skewed by a single AI provider and reflects the real-world diversity of user search behavior.

### 3. Country

AI search results can differ dramatically based on user location. Our system supports visibility tracking in **50+ countries**, enabling global and regional analysis. This is essential for brands operating in multiple markets with localized strategies.

### 4. Language

Brand mentions are tracked across multiple **languages**, allowing teams to evaluate multilingual visibility and identify gaps or inconsistencies in how AI models represent your brand in non-English responses.

### 5. Question Type

As outlined in the [Key Concepts](/overview/key-concepts), prompts are classified into three types:

* **Unbranded** — General, category-level queries
* **Branded** — Questions specifically referencing your brand
* **Comparative** — Side-by-side comparisons with competitors

This classification reveals how AI systems perceive your brand at every stage of the buyer journey.

***

## Scoring and Trend Visualization

### Sub-topic Rankings

You can also **track visibility trends and rankings by sub-topic** (e.g., trail running vs. road running shoes). This allows product-level diagnostics on where you're winning or falling behind.

### Prompt-Brand Score Matrix

We compute a **visibility score** for each brand-prompt pair, letting you see which questions you're winning, and which ones are dominated by competitors. This makes your AI SEO efforts measurable and goal-oriented.

***

## Why It Matters

With AI shaping the future of product discovery, it's critical to monitor how your brand is being interpreted and presented — across platforms, languages, and contexts. Our multi-dimensional tracking and scoring approach empowers you to:

* Shape a consistent AI brand narrative
* Detect misinformation before it spreads
* Win visibility where it matters most
* Benchmark performance globally, accurately

Visibility monitoring is your foundation for proactive, data-driven AI SEO strategy.