> For the complete documentation index, see [llms.txt](https://docs.thousandeyes.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.thousandeyes.com/product-documentation/tests/recommendations/associated-service-recommendations.md).

# Associated Service Recommendations

*Associated Service Recommendations* use the email address you have configured for your account to suggest domains that you can monitor. *Associated Service Recommendations* are a great place to start if you are new to ThousandEyes and not yet sure of your monitoring coverage needs.

After selecting **Associated Service Recommendations**, choose the target urls you'd like to set up monitoring for by clicking the checkbox to the left of the list item.

![List of recommendations based on email address domain](/files/YFJS9AdS2iftBwp9DaGd)

Click on the **Configure Tests** button and follow the instructions for [Deploying Tests From a Template](https://docs.thousandeyes.com/product-documentation/tests#deploying-tests-from-a-template).


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# 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://docs.thousandeyes.com/product-documentation/tests/recommendations/associated-service-recommendations.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.