> ## 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.

# Content Opportunities

> Content Opportunities identifies the prompts where your brand should appear in AI-generated answers but doesn't.

By analyzing thousands of LLM responses, Qwairy detects **strategic content gaps** and highlights **high-value topics** that represent immediate opportunities for content creation.

It combines:

* **LLM provider insights**
* **Competitive landscape**
* **Topic classification**
* **Brand visibility scoring**
* **Gap metrics and priority levels**

This gives you a clear roadmap for the content you need to create to influence future AI answers.

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# Purpose of Content Opportunities

Content Opportunities helps you answer:

### **1. Where should my brand be mentioned, but isn't?**

Qwairy detects prompts where competitors are recommended, but your brand is missing.

### **2. What topics should I prioritize for new content?**

You receive *High* and *Very High Priority* opportunities based on real user prompts.

### **3. Which competitors dominate these AI answers?**

Competitor ranking shows who appears most often for each topic.

### **4. How large is the gap?**

The **Brand Gap %** reveals how many times competitors appear vs. how often you do.

### **5. Which LLMs generate these opportunities?**

You can see whether the gap is coming from ChatGPT, Gemini, Claude, Google Search, or others.

***

# Navigating Content Opportunities

Content Opportunities is a dedicated page in the **Act** section.\
**Act > Content Opportunities**

The page displays a prioritized table of all detected content gaps, with filters for providers, topics, tags, and priority levels. Each row represents a prompt where your brand is missing from AI-generated answers.

### Each opportunity includes:

## **1. Prompt**

The exact user prompt that triggered the AI response.\
Example:\
*"What's the difference between compression and non-compression workout clothes?"*

Prompts are also classified by:

* **Topic tags** (e.g., *workout clothes*)
* **Funnel stage** (e.g., *TOFU*, *MOFU*, *BOFU*)

## **2. Providers**

Icons showing which models generated the opportunity.

Examples:

* Google AI
* ChatGPT
* Claude
* Gemini

This helps you understand **which model is "missing" your brand**.

## **3. Top Competitors**

A ranked list of competitor brands appearing in the AI responses, with:

* Appearance count
* Ranking badge (#1, #2, #3, etc.)

Example:

* Under Armour (#1)
* iamsuperhero (#4)
* CW-X (#3)

This reveals who currently dominates the AI conversation.

## **4. Brand Gap**

A percentage that quantifies how absent your brand is for this topic.

**100% Brand Gap**\
\= Competitors appear\
\= You appear 0 times

**50% Brand Gap**\
\= You appear in some responses\
\= Competitors appear more frequently

This lets you prioritize opportunities by impact.

## **5. Source Count**

How many AI responses Qwairy analyzed for this prompt.\
Example:\
**100% gap — 0 / 35 responses**\
Meaning:

* 35 responses analyzed
* Your brand did not appear once

# Example Explained

### Prompt:

**"What's the difference between compression and non-compression workout clothes?"**

Qwairy shows:

* Providers: Google, ChatGPT, Claude
* Top competitors:
  * Under Armour (#1)
  * iamsuperhero (#4)
  * CW-X (#3)
* Brand Gap: **100%**
* Source Count: **0 / 35 responses**

Interpretation:

Users ask this question frequently\
LLMs answer using **competitor brands**, not yours\
No content from your brand is influencing AI responses\
This is a **High Priority** content opportunity

## Related use cases

* [What content should I create to improve my AI visibility?](/use-cases/content/what-content-to-create)
* [How do I turn a content gap into an article that AI models will cite?](/use-cases/content/content-gap-to-cited-article)
* [Which queries do AI models search for where my brand is absent?](/use-cases/content/queries-llms-search-without-me)