---
schema_version: "1"
id: 01913fac24ea12ca5adb00a30197e8b2f1902d69909f1a0a194c49dd4197d21e
title: Prepare for Einstein Article Recommendations
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/service/264-0-0/einstein_article_recommendations_prepare.md
canonical_url: https://help.salesforce.com/s/articleView?id=service.einstein_article_recommendations_prepare.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 5d8a0d9b700b876c617f0ee25ae910e4c8661e56a9aa3fd3108b7948bc4d0477
description: To get the best results from Einstein Article Recommendations, review its data requirements and get tips for testing the feature.
products:
  - Service Cloud
  - Service Intelligence
release: "264"
---
# Prepare for Einstein Article Recommendations

To get the best results from Einstein Article Recommendations, review its data requirements and get tips for testing the feature.

### Required Editions

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small edition"><colgroup><col></colgroup><tbody><tr class=""><td class="slds-cell-wrap" style="vertical-align:top;"><a href="https://help.salesforce.com/s/articleView?id=service.einstein_service_intro.htm&amp;language=en_US" target="_blank">View supported editions</a>.</td></tr></tbody></table>

![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-service-support_intelligence-264-0-0-production-enus/dcd06a7b-b5ab-448b-a767-4e2e90481508/images/icon_note.png)

Note Einstein Article Recommendations is available for articles written in Dutch, English, French, German, Italian, Portuguese, and Spanish.

## Make Sure You Have Enough Data

Plants need water, support service reps need hugs, and Einstein needs data! Without high-quality historical data to learn from, Einstein can’t make accurate recommendations. Here’s what you need.

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small ">
        <colgroup>
          <col style="width:30%">
          <col style="width:20%">
          <col style="width:50%">
        </colgroup>
        <thead class="slds-text-title_caps ">
          <tr class="">
            <th scope="col" class="slds-cell-wrap" style="vertical-align:top;" id="d58260e71">What You Need</th>
            <th scope="col" class="slds-cell-wrap" style="vertical-align:top;" id="d58260e74">Required or Recommended?</th>
            <th scope="col" class="slds-cell-wrap" style="vertical-align:top;" id="d58260e77">Details</th>
          </tr>
        </thead>
        <tbody>
          <tr class="">
            <td data-label="What You Need" class="slds-cell-wrap" style="vertical-align:top;" headers="d58260e71 ">Three or more published knowledge articles</td>

            <td data-label="Required or Recommended?" class="slds-cell-wrap" style="vertical-align:top;" headers="d58260e74 ">Required</td>

            <td data-label="Details" class="slds-cell-wrap" style="vertical-align:top;" headers="d58260e77 ">
              <p>When your Salesforce Knowledge article coverage is extensive and addresses common
                customer questions, Einstein can make more useful recommendations. Articles don’t need any
                special tags, data categories, or metadata to be recommended. Newly published or
                overwritten articles automatically undergo term analysis within one day to be considered
                for recommendation. If there are multiple versions of an article, only the most current
                active version is recommended. </p>
              <p style="margin-bottom:0;">Einstein only recommends articles stored in your Salesforce Knowledge base. Articles
                hosted in an external system don’t count.</p>
            </td>

          </tr>
        </tbody>
      </table>

To show recommendations in multiple supported languages, you only need three or more knowledge articles in one of the languages.

## Take Einstein Article Recommendations for a Test Run

Over several releases, we’re phasing in article recommendations as active in orgs with Knowledge. If we set it up for you, we supply a pre-trained model that uses generic data and default field and language settings. If your business uses other fields, your service reps can see more accurate recommendations when you accept the terms in Setup, select the right fields, and update the model so that Einstein learns from your org’s closed-case data.

While you can set up Einstein Article Recommendations in a sandbox org, recommendations differ between sandbox and production because of underlying data differences. Because the same results aren’t guaranteed, we recommend turning it on in your production org and giving a small group of service reps [access to article recommendations](https://help.salesforce.com/s/articleView?id=service.einstein_article_recommendations_give_agents_permission.htm&release=264.0.0&type=5 "By default, all Lightning Knowledge users see Einstein Article Recommendations in the Knowledge component. A Lightning Knowledge user is a standard user with the Knowledge User permission and read access to Knowledge articles in Lightning Knowledge. If you prefer, you can limit access to users of your choice."). When you’re comfortable with the way recommendations are working, open them up to your larger team.

If you do decide to use article recommendations in sandbox, follow these best practices:

- [Match your sandbox licenses to your production licenses.](https://help.salesforce.com/articleView?id=overview_licenses_and_sandbox.htm&language=en_US)
- To meet the data requirements and guarantee realistic recommendations, make sure that your sandbox org’s article and case data is similar in quality and quantity to your production org’s.