> For the complete documentation index, see [llms.txt](https://docs.knowbase.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.knowbase.ai/ai-assistants/leads.md).

# Leads

When [fallback email collection](/ai-assistants/behavior.md) is enabled and your assistant can't answer a question, it asks the visitor for their email. These submissions appear in the **Leads** tab.

## Managing leads

Each lead shows:

* The visitor's email
* The question they asked
* Status: **New**, **Contacted**, or **Resolved**

Click a lead to see details and take action:

* **Reply by email** — opens your email client with the visitor's address
* **View conversation** — see the full chat context
* **Add as Q\&A Pair** — create an exact answer so the assistant can handle this question next time

## Filtering

Filter leads by status:

* **All** — every lead
* **New** — unread leads (with red badge count)
* **Contacted** — leads you've responded to
* **Resolved** — leads that have been handled


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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.knowbase.ai/ai-assistants/leads.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.