## What it does

When workspaces are grouped as co-brand workspaces, recommendation campaigns in any workspace of the group can return items from across all grouped workspaces. This means a customer whose profile exists in multiple workspaces will receive recommendations that draw from the combined item catalogs of all brands in the group — not just the workspace the campaign is running in.

**Example:** Workspace A is a sports brand, workspace B is a casual clothing brand. A recommendation campaign in workspace B will also return sports clothing or accessories to customers whose profiles exist in both workspaces — and vice versa, a campaign in workspace A may return casual clothing items.

## Recommendation models

Co-brand personalization works for all [recommendation models](/docs/ai-hub/recommendations-v2/recommendation-types).  

## Modes

Co-brand workspaces operate in two modes for AI recommendations — configured by the Synerise support team when enabling the feature, and cannot be changed from the UI:

- **Events** — the AI engine combines events from all workspaces (item views, clicks, purchases), but customer profiles are not unified across workspaces.
- **Model & events (Full)** — the AI engine combines events from all workspaces and also unifies customer profiles across workspaces, resulting in a client-identity-aware model.

## Requirements

See [General requirements](/docs/settings/workspace/multibrand-workspaces/about#general-requirements).

## Setting up

1. [Create a group of workspaces](/docs/settings/workspace/multibrand-workspaces/create-workspace-group).
2. Contact the Synerise support to enable co-brand personalization in AI recommendations. The support team will confirm whether your workspace group meets the requirements and determine the appropriate mode.
3. Once enabled, proceed to [creating an AI recommendation](/docs/ai-hub/recommendations-v2/creating-recommendation-campaign).
4. During the configuration, proceed to **Additional settings**.
4. Enable the **Co-Brand Personalization** toggle.  
   - The badge next to the toggle label indicates the mode configured for your group.
   - The filter applied to the recommendations will consider items from co-brand workspaces.  
5. You can [preview the recommendation results](/docs/ai-hub/recommendations-v2/previewing-recommendations#previewing-recommendation-customer-context).  
   You can enable or disable inclusion of items from co-brand workspaces in the preview to compare results between the state of the option.

## Previewing results

Instructions on previewing recommendation results for AI recommendations with co-brand personalization enabled are available in ["Previewing recommendations"](/docs/ai-hub/recommendations-v2/previewing-recommendations#previewing-recommendation-customer-context).