Recommending items is not the only approach that you can take. Another way to engage the customer is to provide brand recommendations, which placed on the category page. These recommendations are personalized, which means that for each customer the AI model will recommend brands that fit the customers' preferences. This method raises the customer conversion rates. In this example, we will create a recommendation that consists of 3 recommended brands at minimum and 5 at maximum, that will be placed on the category page. This is different from the [Promote a brand in recommendations](/use-cases/boost-brand) use case, in which the selected brands are promoted to appear in the recommendations more often, but the other brands are not completely excluded from the results. ## Prerequisites --- - The [items feed](/docs/ai-hub/recommendations-v2/item-feed-requirements) must be provided. - The attribute recommendation type must be enabled in [AI Engine Configuration](/docs/settings/configuration/ai-engine-configuration/engine-configuration-for-recommendations). Optionally, you can provide [metadata catalog](/docs/ai-hub/recommendations-v2/item-feed-requirements). ## Create a recommendation --- 1. Go to

**AI Hub > (AI Recommendations) Models > Add recommendation**. 3. In the top left corner, enter the name of your recommendation. 4. In the **Type & Items feed** section, click **Define**. 5. From the **Items feed** dropdown menu, choose the provided feed. 6. Choose the **Attribute** recommendation type. 7. From the dropdown menu that appears at the bottom, choose your **Metadata catalog**. 8. Click **Apply**. 9. In the **Items** section, click **Define**. 10. Click **Add slot**. 11. Define the minimum and maximum number of brands that will be recommended to the user. In our example, it is from 3 (minimum) to 5 (maximum). 12. From the **Items attribute** dropdown menu, choose the `brand` attribute. 13. Click **Apply**. 14. In the top right corner, click **Save**. ## What's next --- You can display the recommendation on a category page by using [dynamic content](/docs/campaign/dynamiccontent). 1. Go to **Experience Hub > Dynamic content > New dynamic content**. 2. In the body of the dynamic content, use the recommendation insert.

Read more about how to use recommendation in inserts [here](/developers/inserts/recommendations-v2).

3. Add CSS and/or HTML to the dynamic content. 4. [Define the rest of the settings](/docs/campaign/dynamiccontent/creating-dynamic-content). ## Check the use case set up on the Synerise Demo workspace --- You can check the [recommendation settings](https://app.synerise.com/ai-v2/recommendations/EHdHrqiT9tTE) in Synerise Demo workspace. If you’re our partner or client, you already have automatic access to the **Synerise Demo workspace (1590)**, where you can explore all the configured elements of this use case and copy them to your workspace. If you’re not a partner or client yet, we encourage you to fill out the contact [form](https://demo.synerise.com/request) to schedule a meeting with our representatives. They’ll be happy to show you how our demo works and discuss how you can apply this use case in your business. ## Read more --- - [Recommendations](/docs/ai-hub/recommendations-v2)