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

# Enrich All & Review

> Browse enriched content and compare Product Agent's enrichment to your original data.

<Callout icon="bell-exclamation" size="lg" color="#ff2ec1">Product Agent is currently in beta, and we're [seeking partners](https://fabric.inc/contact-us) to help shape its future.</Callout>

After reviewing the sample enrichment, the Enrich All & Review page gives you a final opportunity to assess the content generated by Product Agent before applying it across your catalog.

In this step, you can browse through all enriched products, compare AI-generated content with your original data, and make edits or additions as needed. Your feedback helps Product Agent learn your tone, correct misunderstandings, and generate more brand-accurate content moving forward.

After enriching your products, Product Agent displays a list of your products with the following information:

| **Column**           | **Description**                                                                                                                                                                                                                            |
| :------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Product**          | Shows the product name and thumbnail image to help you identify each enriched product in your catalog.                                                                                                                                     |
| **Attributes Added** | The number of new or optimized attributes Product Agent created for the product. Attributes include details such as fit, material, care instructions, colors, length, and other structured data used in AI answers and search experiences. |
| **FAQs Added**       | The number of new AI-generated FAQs added to the product. These improve AEO performance by giving AI engines structured, question/answer content.                                                                                          |
| **Actions**          | Details of Product Agent’s optimizations for the specific product.                                                                                                                                                                         |

## Procedure

1. Click **Enrich Now**.
   Product Agent enriches your catalog. When the process is finished, a list of the enriched products is displayed, along with metrics tracking Product Agent’s changes.

2. Review Product Agent’s optimizations of your catalog.

3. Click **Next: Publish**.

You are directed to the next step in the process, [Publishing Products](/v3/product-agent/activation/publishing-products).

<img src="https://mintcdn.com/fabric-demo/CoRPyg6FX_iUd1SK/images/activate/enrich-all-review/enrich-all-030526.gif?s=3fc652139042a354b38c40588f84d0bc" alt="enrich all GIF" width="1582" height="1224" data-path="images/activate/enrich-all-review/enrich-all-030526.gif" />

## Related Topics

## Related Topics

* [Activate Overview](/product-agent/activate/overview)
* [Product Activation](/product-agent/activate/activating-products/introduction)
* [Experiments](/product-agent/activate/activating-products/experiments)
* [Importing Products](/product-agent/activate/activating-products/importing-products)
* [Taxonomy Mapping](/product-agent/activate/taxonomy-mapping)
* [Enriching Products](/product-agent/activate/enriching-products)
* [Sampled Enrichment](/product-agent/activate/sampled-enrichment)
* [Publishing Products](/product-agent/activate/publishing-products)