> ## Documentation Index
> Fetch the complete documentation index at: https://docs.superlines.io/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Agent

> Use the conversational AI assistant to query your data, run audits, and generate action plans.

The AI Agent is a conversational assistant built into Superlines that lets you ask natural-language questions about your brand's AI search performance, run technical audits, analyze competitors, and generate strategic action plans — all from a single chat interface.

## What the Agent can do

The Agent has access to your brand data and a suite of built-in tools:

| Capability                  | Examples                                                                                        |
| --------------------------- | ----------------------------------------------------------------------------------------------- |
| **Query your data**         | "What's my brand visibility trend this month?", "Which prompts have the highest citation rate?" |
| **Competitor intelligence** | "Who's getting cited more than me?", "Analyze competitor X's homepage"                          |
| **Run audits**              | "Audit my homepage for AI search readiness", "Check my schema markup"                           |
| **Generate action plans**   | "Create a strategic action plan to improve my visibility", "What should I prioritize?"          |
| **Content guidance**        | "What topics should I write about?", "How can I improve my FAQ page for AI?"                    |

When you open the Agent, you'll see pre-built suggestion cards to help you get started:

* **"Who's getting cited?"** — Discover which domains AI models cite most for your tracked prompts
* **"Strategic action plan"** — Get a prioritized list of actions to improve your AI visibility
* **"Audit my homepage"** — Run a full AI search readiness analysis on your website
* **"Analyze a competitor"** — Deep-dive into a competitor's AI search presence

## How to use the Agent

<Steps>
  <Step title="Open the Agent">
    Navigate to **Agent** in the sidebar under AI Visibility.
  </Step>

  <Step title="Ask a question or pick a suggestion">
    Type your question in the chat input, or click one of the suggestion cards to get started.
  </Step>

  <Step title="Review the response">
    The Agent will query your data, run any necessary analyses, and return a detailed response with insights and recommendations.
  </Step>

  <Step title="Follow up">
    Ask follow-up questions to drill deeper. The Agent maintains context within the conversation.
  </Step>
</Steps>

## Example prompts

Here are effective prompts to try:

* *"Show me my brand visibility trends for the last 30 days across all engines"*
* *"Which of my tracked prompts have the lowest citation rate?"*
* *"Audit [https://example.com](https://example.com) for AI search readiness"*
* *"Compare my brand sentiment to my top 3 competitors"*
* *"What schema markup should I add to my product pages?"*
* *"Generate a weekly action plan based on my current metrics"*

## How it connects to your data

The Agent works with the same data you see across the platform:

* **Tracked prompts** — queries your prompt portfolio and performance metrics
* **Responses & mentions** — accesses AI response data across all monitored engines
* **Citations** — analyzes which URLs are being cited and where
* **Competitors** — compares your performance against configured competitors
* **Site health** — can trigger and review technical audits of your pages

<Info>
  The Agent uses the same tool set as the [MCP Server](/mcp/overview). If you're already familiar with MCP tools, the Agent provides the same capabilities through a visual chat interface.
</Info>

## Limitations

* The Agent works with data available in your Superlines account — it cannot access external data beyond what the built-in tools provide
* Audit and analysis tools require a URL input and are subject to your plan's usage limits
* Complex multi-step analyses may take a few moments to complete

## Actions from the Agent

When the Agent generates recommendations, these can appear as actionable items in the [Action Center](/features/action-center). This creates a workflow where insights from the Agent become trackable tasks.

<CardGroup cols={2}>
  <Card title="Action Center" icon="list-check" href="/features/action-center">
    Track and manage recommendations from the Agent.
  </Card>

  <Card title="MCP Server" icon="plug" href="/mcp/overview">
    Use the same tools programmatically via MCP.
  </Card>
</CardGroup>