> ## 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.

# Use Cases

> How different teams and companies use Superlines to improve their AI search visibility.

Superlines serves a wide range of teams — from enterprise brand organizations managing multi-channel visibility to performance-focused marketers optimizing for AI-driven traffic. Here's how different customer types get the most out of the platform.

## Enterprise brand monitoring

**Best for:** Companies with existing marketing data, brand guidelines, and multiple stakeholders across brand, insights, comms, content, and PR teams.

### The challenge

Large organizations already have rich data about their market: marketing messages, FAQ databases, support ticket themes, keyword research, and competitive intelligence. The challenge is understanding how this existing knowledge translates to AI search visibility — and coordinating across teams to improve it.

### How they use Superlines

<Steps>
  <Step title="Import existing data as prompts">
    Use your existing assets as the foundation for AI search monitoring:

    | Data source                  | Example prompts                                                |
    | ---------------------------- | -------------------------------------------------------------- |
    | **Marketing messages**       | Core value propositions rephrased as questions                 |
    | **FAQ databases**            | Customer questions you already answer on your site             |
    | **Support tickets**          | Common issues and questions from real customers                |
    | **Keyword research**         | High-volume search queries converted to conversational prompts |
    | **Competitive intelligence** | Questions where competitors are strong                         |

    Import via [bulk upload](/account/prompts#bulk-import), [Google Search Console](/integrations/google-search-console), or the [MCP server](/mcp/overview).
  </Step>

  <Step title="Organize with labels and brands">
    Structure prompts by team, campaign, product line, or funnel stage using [labels](/account/prompts#labels). Create [separate brands](/account/brands) for different markets or business units.
  </Step>

  <Step title="Track brand visibility across teams">
    Share dashboards across teams. Each team focuses on different metrics:

    | Team              | Primary focus                                     |
    | ----------------- | ------------------------------------------------- |
    | **Brand / Comms** | Brand Visibility, Sentiment Score, Share of Voice |
    | **Content / SEO** | Citations, Fan-out Queries, Content Opportunities |
    | **PR**            | Sentiment trends, competitor mention analysis     |
    | **Insights**      | Week-over-week trends, engine-level breakdowns    |
  </Step>

  <Step title="Act on competitive intelligence">
    Use [fan-out query analysis](/metrics/competitive-intelligence) to discover what content drives AI citations for competitors — and create better content for those topics.
  </Step>
</Steps>

<Tip>
  Enable [prompt variations](/account/prompt-variations) to test how different phrasings of the same question affect your brand visibility. This is especially valuable for large brands monitoring messaging consistency.
</Tip>

***

## Performance-focused AI visibility

**Best for:** Marketing teams and SEO professionals who want to capture traffic from AI search by appearing in high-volume, high-intent prompts.

### The challenge

Smaller teams may not have extensive existing data. They need to discover which prompts have real market volume and then systematically improve their visibility on those prompts — similar to how traditional SEO targets high-value keywords.

### How they use Superlines

<Steps>
  <Step title="Discover high-value prompts automatically">
    Start with Superlines' auto-generated prompts, then expand using:

    * **[Prompt Radar](/account/prompt-radar)** — automatically discovers trending prompts from SEO, SERP, and People Also Ask data sources
    * **[Google Search Console](/integrations/google-search-console)** — imports real queries where you already have impressions or clicks
    * **[MCP-powered discovery](/mcp/workflows#prompt-discovery)** — use AI agents to scrape trends and add prompts programmatically
  </Step>

  <Step title="Focus on strategic prompts">
    Identify prompts where you must beat competitors. Label these as strategic and monitor them closely. Use [competitive gap analysis](/metrics/competitive-intelligence#competitive-gap-analysis) to prioritize.
  </Step>

  <Step title="Optimize content for fan-out queries">
    When AI engines answer a prompt, they search the web behind the scenes. [Fan-out queries](/metrics/citations#what-are-fan-out-queries) reveal exactly what they search for. Optimize your content to rank for these specific queries.
  </Step>

  <Step title="Automate the content pipeline">
    Use the [MCP server](/mcp/workflows) to build automated workflows:

    1. Identify prompts where you have low visibility
    2. Analyze what top-cited pages do well
    3. Feed insights to a content agent
    4. Publish optimized content
    5. Monitor improvement in Superlines
  </Step>
</Steps>

***

## Agency & multi-brand management

**Best for:** Agencies managing AI search visibility for multiple clients, or companies with multiple brands and markets.

### How they use Superlines

* **Separate brands per client** — each with its own prompts, competitors, and analytics
* **Label-based organization** — group prompts by campaign, product, or priority across clients
* **API and MCP integration** — automate reporting and monitoring across all clients
* **Team roles** — give clients read-only access to their brand data while maintaining admin control

***

## Common workflows across all use cases

Regardless of your team type, these workflows apply:

<CardGroup cols={2}>
  <Card title="Prompt Strategy" icon="bullseye" href="/account/prompt-strategy">
    Learn how to build a comprehensive prompt portfolio from multiple data sources.
  </Card>

  <Card title="Competitive Intelligence" icon="magnifying-glass" href="/metrics/competitive-intelligence">
    Use fan-out queries and citations to reverse-engineer competitor content strategies.
  </Card>

  <Card title="MCP Automation" icon="robot" href="/mcp/workflows">
    Build automated pipelines that connect Superlines data to content production.
  </Card>

  <Card title="Prompt Radar" icon="radar" href="/account/prompt-radar">
    Automatically discover trending prompts you should be tracking.
  </Card>
</CardGroup>