> ## 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.
# Shopping Results
> Shopping Results reveals how LLMs mention products when answering user questions.
It is the first tool that lets you analyze **which products AI recommends**, **how often they appear**, **what prompts trigger them**, and **where the models direct users to buy them**.
It helps you understand:
* Which **products are most frequently recommended by LLMs**
* Whether your **brand is represented in AI shopping conversations**
* Which **retailers and stores** the AI points to
* The **prompts** that generate these mentions
* The **topics and use cases** associated with each product
* Which **competitor products dominate LLM answers**
***
# What Shopping Results Tracks
Whenever an LLM mentions a product in a response—\
example:\
*“The Asics Novablast 5 is a great cushioned running shoe available this year…”*
Qwairy automatically extracts:
* The **product name**
* Product **image** (if available)
* **Rating**, **reviews**, and **price** (when provided by the AI)
* The **LLM provider** (ChatGPT, Claude, Gemini…)
* **Topics** associated with the product
* The **prompts** that caused the model to recommend it
* The **buy link** or retailer the LLM suggests
This gives you a full view of how products—yours and your competitors'—are featured across AI-generated shopping recommendations.
***
# 🎯 Purpose of Shopping Results
Shopping Results helps you answer:
### **1. Which products do LLMs recommend most often in my category?**
You can identify top-mentioned competitor products and rising trends.
### **2. How often does the AI recommend my products?**
Track frequency, ranking, and visibility of your catalog.
### **3. In which contexts or queries does my product appear?**
Understand the prompts and scenarios where LLMs suggest your items.
### **4. Which stores or retailers does the AI link to?**
Models may drive traffic to Amazon, [Nike.com](http://Nike.com), Walmart, etc.
***
# 🧭 Navigating Shopping Results
From the main navigation:\
**Monitor > Insights > Shopping Results**
You can toggle between:
* **Products** — list of individual product mentions
* **Stores** — list of retailers and where the LLM redirects users
Each product entry includes:
### ✅ **Product card with:**
* Number of **usages**
* **Rating** (when provided)
* **Review count**
* **Store count** (number of retailers the LLM links to)
### ✅ **Providers**
Which AI generated this product mention (ChatGPT, Claude, Gemini, etc.)
### ✅ **Topics**
Tags extracted from prompts (e.g., *running shoes*, *sneakers*, *sportswear*)
### ✅ **Prompts**
The exact user prompts that triggered the product recommendation\
(e.g., *“What are the best running shoes for beginners this year?”*)
### ✅ **Buy from**
Stores or links the AI used for the product.\
Example:\
**View product — USD 149.95**
Qwairy automatically extracts:
* The **product name**
* Product **image** (if available)
* **Rating**, **reviews**, and **price** (when provided by the AI)
* The **LLM provider** (ChatGPT, Claude, Gemini…)
* **Topics** associated with the product
* The **prompts** that caused the model to recommend it
* The **buy link** or retailer the LLM suggests
This gives you a full view of how products—yours and your competitors'—are featured across AI-generated shopping recommendations.
***
# 🎯 Purpose of Shopping Results
Shopping Results helps you answer:
### **1. Which products do LLMs recommend most often in my category?**
You can identify top-mentioned competitor products and rising trends.
### **2. How often does the AI recommend my products?**
Track frequency, ranking, and visibility of your catalog.
### **3. In which contexts or queries does my product appear?**
Understand the prompts and scenarios where LLMs suggest your items.
### **4. Which stores or retailers does the AI link to?**
Models may drive traffic to Amazon, [Nike.com](http://Nike.com), Walmart, etc.
***
# 🧭 Navigating Shopping Results
From the main navigation:\
**Monitor > Insights > Shopping Results**
You can toggle between:
* **Products** — list of individual product mentions
* **Stores** — list of retailers and where the LLM redirects users
Each product entry includes:
### ✅ **Product card with:**
* Number of **usages**
* **Rating** (when provided)
* **Review count**
* **Store count** (number of retailers the LLM links to)
### ✅ **Providers**
Which AI generated this product mention (ChatGPT, Claude, Gemini, etc.)
### ✅ **Topics**
Tags extracted from prompts (e.g., *running shoes*, *sneakers*, *sportswear*)
### ✅ **Prompts**
The exact user prompts that triggered the product recommendation\
(e.g., *“What are the best running shoes for beginners this year?”*)
### ✅ **Buy from**
Stores or links the AI used for the product.\
Example:\
**View product — USD 149.95**