> For the complete documentation index, see [llms.txt](https://docs.spara.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.spara.com/agents/channels/chat/spara-smartbar.md).

# Spara Smartbar

Spara Smartbar is a customer-facing interface embedded directly on your marketing website. It lets customers ask questions - like having mini ChatGPT about your company easily accessible to your marketing leads. Its AI is tuned to handle any lead scenario intelligently and elegantly, all without needing to maintain a complex set "if/else" rules.

Installation instructions can be found here: [https://docs.spara.com/guides/onboarding-guides/chat-agent-onboarding/installing-smartbar](https://docs.spara.com/guides/onboarding-guides/chat-agent-onboarding/installing-smartbar "mention").

Spara SmartBar and [Spara Navigator](/agents/channels/chat/spara-navigator.md) work together! Both can load on a single page. Customers that engage with both interfaces will experience a single, coherent conversation.

<figure><img src="/files/f8iFL9okorZlkjSswbFL" alt=""><figcaption><p>Tiny embeds Spara Smartbar on their marketing pages to engage visitors.</p></figcaption></figure>

Spara Smartbar's initial behavior can be customized based on a multitude of factors:

* What URL Spara is loaded on
* Any [https://docs.spara.com/developers/spara-api/query-parameters](https://docs.spara.com/developers/spara-api/query-parameters "mention") in the URL, including `utm` marketing parameters
* Any "wait" time before Spara should load

Once a buyer is engaging with Spara, how Spara behaves to move the buyer through your sales funnel is fully configurable in [AI Instructions](/agents/channels/configuring/ai-instructions.md).


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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.spara.com/agents/channels/chat/spara-smartbar.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.