> For the complete documentation index, see [llms.txt](https://help.visibrain.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.visibrain.com/filters-and-helpful-documents/scope-of-coverage.md).

# Scope of coverage

Here, the Visibrain's scope of coverage.

{% tabs %}
{% tab title="X (formerly Twitter)" %}
✓ 100% of the public tweets

✓ Firehose access (multi-annual contract with X (formerly Twitter))

✓ Backdata since 2006 (contact your account manager to go beyond 30 days)

✓ Keywords monitoring

✓ Accounts monitoring

✓ Monitoring in 64 languages

✓ Advanced monitoring (geolocation, accounts detection ...)
{% endtab %}

{% tab title="Facebook" %}
✓ Public pages (more than 10M)&#x20;

✓ Comments, shares and reactions number (Likes/ Love/ Haha/ Wow/ Sad/ Angry)

✓ Backdata on the last 30 days

✓ Keywords monitoring

✓ Pages monitoring&#x20;

✓ Monitoring in 64 languages

╳  Personal profiles

╳  Groups

╳  Comments (content)
{% endtab %}

{% tab title="Instagram" %}
✓ Public posts (pictures and videos)

✓  Reels

✓ Tagged accounts

✓ Comments and likes number

✓ Backdata on the last 30 days

✓ Keywords monitoring

✓ Accounts monitoring&#x20;

✓ Monitoring in 64 languages

╳  Stories

╳ Comments (content)
{% endtab %}

{% tab title="YouTube" %}
✓ Public videos

✓ Shorts

✓ Comments and likes number

✓ Backdata on the last 30 days

✓ Keywords monitoring

✓ Channel monitoring&#x20;

✓ Monitoring in 64 languages

╳ Comments (content)
{% endtab %}

{% tab title="TikTok" %}
✓ Public videos

✓ Comments and likes number

✓ Views number

✓ Sounds analysis\
✓ Sentiment analysis

✓ Backdata on the last 30 days

✓ Keywords monitoring

✓ Accounts monitoring

╳ Comments (content)
{% endtab %}
{% endtabs %}

{% tabs %}
{% tab title="LinkedIn" %}
✓ Public posts

✓ Comments and reactions number

✓ Users and companies mentioned in posts

✓ Sentiment analysis

✓ Up to 500 posts retrieved per rule at the topic's creation

✓ Keywords monitoring

✓ Users and companies monitoring

╳ Comments (content)
{% endtab %}

{% tab title="Threads" %}
✓ Public threads

✓ Replies and likes number

✓ Backdata on the last 30 days

✓ Keywords monitoring

✓ Accounts monitoring

✓ Sentiment analysis\
\
╳ Reposts
{% endtab %}

{% tab title="Telegram" %}
✓ Telegram messages posted on public channels

✓ Views number

✓ Backdata on the last 30 days

✓ Keywords monitoring

✓ Public channels monitoring

✓ Sentiment analysis\
\
╳ Private channels
{% endtab %}

{% tab title="Bluesky" %}
✓ 100% of public posts

✓ Backdata since 2006 (contact your account manager to access data beyond the last 30 days)

✓ Keyword monitoring

✓ Account list monitoring

✓ Sentiment analysis
{% endtab %}

{% tab title="Press & blogs" %}
✓ 5M new articles per day&#x20;

✓ Worldwide monitoring

✓ New source adde on request

✓ Backdata on the last 30 days

✓ Keywords monitoring

✓ Websites monitoring
{% endtab %}
{% endtabs %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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://help.visibrain.com/filters-and-helpful-documents/scope-of-coverage.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
