> For the complete documentation index, see [llms.txt](https://docs.sprinthub.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sprinthub.com/en/topics/attract/social-manager/social-manager-response-automation.md).

# Social Manager - Response Automation

<figure><img src="/files/4e08b79bdd4945ed04c2854db0e59e826fd3ca61" alt=""><figcaption></figcaption></figure>

With SprintHub's Response Automation, you can send predefined messages to users who get in touch through different communication channels, such as **Facebook** and **Instagram**.

### Creating the first quick message.

To begin, first click on **Attract**, then on **Social Manager**;

<figure><img src="/files/32bf21c19f51e018c6b34947c6f23d864abdf529" alt=""><figcaption></figcaption></figure>

Next, to automate your direct messages and/or comments for **all posts**, just click on **Overview** and then on **Robot icon**.

<figure><img src="/files/b306cf634ac368a0093938a6f2f135ba6f21851b" alt=""><figcaption></figcaption></figure>

{% hint style="warning" %}
This automation will run in all of your automations.
{% endhint %}

Right after, you will **New** your automation, where the title, message, and the condition to be reached will be defined.<br>

<figure><img src="/files/df1c567603e63d8f65f45c9d66645f8a97f3686b" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/2ab7c17d67405e9bff7eb9b8dfc4ae8dce8547f9" alt=""><figcaption></figcaption></figure>

### Step by step

1. Define this automation's title.
2. Published": For the automation to remain active, you must keep the “Yes” option selected.
3. Define the direct message and/or comment to be sent. You can set just one of them or both. You can define the messages and/or comments from your custom ChatGPT template.
4. &#x20;The comment and/or message will only be sent if your lead's comment meets the selected conditions.

<figure><img src="/files/54ca854535309a637477426cd676dc9ae72e2646" alt=""><figcaption></figcaption></figure>

You can also use the “Include one of the texts” option. This option ensures that even comments with variations in uppercase and lowercase letters, and with added emojis, are recognized by the automation.

See the example below:

<figure><img src="/files/a249845fac88089b83accca9a054ead5ee79c20f" alt=""><figcaption></figcaption></figure>

{% hint style="warning" %}
Create the automation BEFORE the post is published.
{% endhint %}

The creation of your response automation must happen before the post is published. If you create the automation after the post has been published, comments made before that will not be checked by the automation.

Right after, just click on "*Save Automation*".

<figure><img src="/files/ae878ac63bf165485b29642a76ad5845e16b4dc9" alt=""><figcaption></figcaption></figure>

To create an automation for a **Specific Post**, click on the post and then on the robot icon. Then, just follow the same automation creation process above.

<figure><img src="/files/92d0e8d5c131d46747dfd21840f246aee15de1a8" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
&#x20;Automated responses are checked based on their **ORDER**, and the first one that meets the limiting conditions will be used. It is recommended that you create at most 1 (one) quick reply with the condition "for any value" per post/page, and that it be the last in the list. **Only one automated response will be sent per user per post**.
{% endhint %}


---

# Agent Instructions
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## 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, and the optional `goal` query parameter:

```
GET https://docs.sprinthub.com/en/topics/attract/social-manager/social-manager-response-automation.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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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.
