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Superlines is an AI Search Intelligence platform for enterprise marketing teams and marketing agencies. It is especially suited to organizations that measure AI Search across multiple brands, markets, languages, competitors and AI engines.

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Enterprise marketing teams

Best for: Enterprise and multi-market brands that need one source of truth for how AI platforms represent the company. Brand, SEO, content, communications, digital, growth and analytics teams use Superlines inside the broader marketing organization. They are users of the same platform, not separate products.

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The challenge

Large organizations already have marketing messages, FAQ databases, support themes, keyword research and competitive intelligence. The harder problem is understanding how that knowledge shows up in AI Search — across brands, countries, languages and engines — and reporting it in one place.

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How they use Superlines

1

Measure visibility across brands and markets

Create a brand for each market, product line or business unit. Compare them in Cross-Brand Analytics so leadership sees one view across the organization.
2

Import existing knowledge as prompts

Use assets you already have as the prompt set:Import via bulk upload, Google Search Console, or the MCP server.
3

Give each team the metric they own

Share dashboards across the marketing organization. Labels keep large prompt sets organized by market, product, campaign or priority.
4

Act on competitive and source intelligence

Use fan-out query analysis and citation data to see which sources AI engines rely on, where competitors outperform you, and which prompts are the largest visibility opportunities.
Enable prompt variations to test how different phrasings of the same question affect brand visibility. This is useful when a global brand needs consistent measurement across markets and languages.

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Marketing agencies

Best for: Agencies managing AI Search visibility for multiple clients, brands or markets.

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How they use Superlines

  • One brand per client — each with its own prompts, competitors, markets and analytics
  • Portfolio reporting — Cross-Brand Analytics for a view across the client book, then drill into a single brand
  • Labels — group prompts by client, campaign, market or priority
  • Centralized reporting — scheduled exports, Looker Studio, or the API for client dashboards
  • MCP in the tools the team already uses — query a client’s visibility from Claude, ChatGPT, Cursor or an n8n workflow without building a separate report each time
  • Team roles — give a client read-only access to their brand while the agency keeps admin control

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Use Superlines outside the platform

Enterprise teams and agencies rarely want another dashboard as the only place the data lives.
  • MCP — bring Superlines intelligence into Claude, ChatGPT, Cursor, n8n and other MCP clients. Ask for share of voice by market, citation sources, or a weekly digest in the assistant or workflow you already use. See the MCP overview.
  • API — pull mentions, position, share of voice, citations and prompt-level results into internal dashboards, warehouses and reporting. See API authentication.

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Shared workflows

These workflows apply to both enterprise marketing teams and agencies:

Prompt Strategy

Build a prompt portfolio from the data sources you already have.

Competitive Intelligence

Use fan-out queries and citations to see which sources and competitors shape AI answers.

MCP and API

Use Superlines data in Claude, ChatGPT, Cursor, n8n and your own reporting.

Cross-Brand Analytics

Compare brands, markets and client portfolios in one view.