> For the complete documentation index, see [llms.txt](https://docs.abtasty.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.abtasty.com/account/tag-integration/what-is-the-ab-tasty-tag.md).

# What is the AB Tasty Tag?

The AB Tasty Tag is a lightweight JavaScript snippet that enables dynamic experimentation, personalization, and data tracking across your website. It acts as the entry point for all AB Tasty features, ensuring experiments are delivered efficiently and data is collected reliably.

#### Key Use Cases

The Tag is used for client-side web experimentation and personalizations:&#x20;

* Display A/B tests and personalization campaigns
* Collect behavioral and performance data
* Integrate with your analytics or consent management tools

#### Architecture Overview

The tag fetch configuration and experience data. Once initialized, it can apply variations, record metrics, and send events in real time.

{% hint style="info" %}
AB Tasty also provides a [transaction Tag](/account/how-to-implement-the-transaction-tag.md)  that you can install to collect further insights on the transactions made on your website
{% endhint %}


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.abtasty.com/account/tag-integration/what-is-the-ab-tasty-tag.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
