# Publishing

In order to publish Mavis AI content, you need to have at least one integration setup. Check out the [Integrations](/getting-started/integrations.md) section to learn more about how to setup your first integration.

### Publishing to WordPress

With your WordPress integration live, you can easily publish content from Mavis AI directly to your site.

#### Publishing Articles in Bulk

<figure><img src="/files/Wvgsx3pB4E56oxp4sbab" alt=""><figcaption></figcaption></figure>

To publish multiple documents at once:

1. **Select Documents or Folders**\
   Choose the documents or entire folders you wish to publish.
2. **Publish**\
   Click the **"Publish selected"** button to send all selected content to your WordPress site.

When selecting a folder, all documents within that folder will be published.

#### Publishing Individual Articles

To publish a single document, you can either select that document and hit the "Publish selected" button similar to the example above, or you can open that document in Mavis and use the "Publish" option in the editor's menu (the three purple dots in the top left corner) as shown below:

<figure><img src="/files/V9yOONGZ2QTUNaMrhq8d" alt=""><figcaption></figcaption></figure>

**1. Choose WordPress**

<figure><img src="/files/qSsHlZnMuEyf25fheLo2" alt=""><figcaption></figcaption></figure>

**2. Pick a site to publish to (and a user to publish under)**

<figure><img src="/files/4YyU7KQbPit51beCM4iN" alt=""><figcaption></figcaption></figure>

**3. Configure Publishing Settings**

* **Content type:** Decide whether to publish as a **Post** or **Page**.
* **Categories and tags:** Optionally, assign categories and tags.
* **Status:** Choose between "**Draft**" (for further review in WordPress) or "**Publish**" (to go live immediately).

<figure><img src="/files/9084dS7pR7QOA78bZtkj" alt=""><figcaption></figcaption></figure>

And that's it. You can now head over to WordPress to review your published content. :tada:


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# Agent Instructions: 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://learn.heymavis.ai/integrations/publishing.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.