> For the complete documentation index, see [llms.txt](https://docs.umbraco.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.umbraco.com/umbraco-engage/17.latest/developers/personalization.md).

# Personalization

The personalization provided by Umbraco Umbraco Engage is built so users can personalize the content or layout of any page without programming skills from the UI.

One of the most common situations for implementing personalization is because you want to serve specific content to your users.

Groups of visitors are identified through segments, consisting of requirements to be met. This segment information is used to customize the user's experience through Applied Personalization.

The following articles cover common methods for implementing personalized content on your website.

<table data-view="cards"><thead><tr><th align="center"></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td align="center">Implement your own segment parameters</td><td><a href="/umbraco-engage/17.latest/developers/personalization/implement-your-own-segment-parameters.md">Implement your own segment parameters</a></td></tr><tr><td align="center">Retrieve segment information from code</td><td><a href="/umbraco-engage/17.latest/developers/personalization/segment-information.md">Retrieve segment information from code</a></td></tr><tr><td align="center">Add custom scoring</td><td><a href="/umbraco-engage/17.latest/developers/personalization/custom-scoring.md">Add custom scoring</a></td></tr></tbody></table>


---

# 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.umbraco.com/umbraco-engage/17.latest/developers/personalization.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.
