> For the complete documentation index, see [llms.txt](https://docs.flashsearch.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.flashsearch.io/integrations/product-reviews/judge.me-product-reviews.md).

# Judge.me Product Reviews

## About Judge.me

**Judge.me** helps you collect and display star ratings and reviews about your products and Shopify store. Social proof from reviews and other user-generated content like photos and videos increases your conversion rate, organic traffic, and buyer engagement. Our photo and video reviews are free!

## Benefits of this integration

**Flash Search's Judge.me** integration helps your customer find high-rated products easier and significantly boosts your conversion rate.

## Integration requirements

**Judge.me** app must be installed.

## Integrate Judge.me to Flash Search

To integrate Judge.me to Flash Search, please follow the steps below:

1. Go to **Integrations -> Apps -> Product reviews -> Toggle Judge.me on**

![](/files/YKUlWHok5w9rC7a3JzF8)

2\. Wait for some minutes for sync review ratings from Judge.me into Flash Search.

![](/files/w43fQZSkzyXsn6opApOh)

3\. After finished, go to your store, and here is the result:

**On the collection/search page:**

![](/files/zqq8BdepW09U8CAlBnD2)

**On the search bar:**

![](/files/ROpN3tiybkESgGSanzOV)

## Create a filter with Judge.me review ratings

To create a filter with Judge.me review ratings, please follow our guide below:

{% content-ref url="/pages/278LXZDIO7YgyaRS02eV" %}
[Creating first filter](/getting-started/creating-first-filter.md)
{% endcontent-ref %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.flashsearch.io/integrations/product-reviews/judge.me-product-reviews.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
