> For the complete documentation index, see [llms.txt](https://docs.nalpeiron.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.nalpeiron.com/using-the-platform-ui/platform-shared-objects/search.md).

# Search

Zentitle has a very powerful and fast search function to help your support (and other) teams manage products, customers, etc.

To search for a given object, click on the magnifying icon in the search box at the top left of the toolbar and enter the search phrase into the search box. 

All objects found that match the given query will be displayed as results.

{% hint style="info" %}
All searches for IDs are case-sensitive
{% endhint %}

These are the currently supported search objects.

* Customer objects can be searched by:
  * customer name
  * customer id
  * custom fields created
  * account reference id
* Contact objects can be searched by:
  * first name
  * last name
  * email
  * contact id
* Product
  * product name
  * product id
* Offering
  * offering name
  * offering id
  * sku
  * custom fields created
* Entitlement and Entitlement Group
  * entitlement group id
  * entitlement id
  * order reference id
  * activation code
* Activation
  * activation id
  * seat id
  * seat name

<figure><img src="/files/PVzwlnejOpC5OAB74poJ" alt=""><figcaption></figcaption></figure>

<div align="left"><figure><img src="/files/FXNDwOnqlpKcpqxCeDt5" alt=""><figcaption></figcaption></figure></div>

<figure><img src="/files/baQd2bkkFSUb1qifAF4i" alt=""><figcaption></figcaption></figure>

Each result can be clicked on to go to that object to edit or to see details.

<div align="left"><figure><img src="/files/XITsgS1GmIEJsoNVC03i" alt=""><figcaption></figcaption></figure></div>

Search is very useful for customer support. Here is an example using an activation code a customer may need help with.

{% hint style="info" %}
The search uses a function we call "type ahead" due to the dropdown only having twenty items for speed and clarity.  This allows you to start your request by typing, and the intelligent engine will display a tighter and tighter list of choices based on the number of characters you type - it simply makes life easier when searching for large lists in the dropdown dialog boxes.
{% 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.nalpeiron.com/using-the-platform-ui/platform-shared-objects/search.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.