ai search tracking

Superlines

Track and improve your brand's visibility across AI platforms like ChatGPT and Perplexity with decision-grade data, competitive benchmarking, and GEO insights.

Starting at

€89/mo

Superlines screenshot

About Superlines

Superlines is an AI Search Intelligence platform designed to help brands and agencies navigate the transition from traditional search engines to generative AI assistants. The platform functions as a specialized search console for the AI era, enabling users to monitor how their brands are retrieved, cited, and recommended within large language models (LLMs). By tracking performance across more than 10 major platforms—including ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews—marketing teams can gain a clear understanding of their digital footprint in generative responses. Technically, the tool distinguishes itself by analyzing real AI search interfaces rather than relying solely on API calls. This methodology provides a more accurate 'as-seen-by-user' view of brand mentions, sentiment, and citation rates. Users can build a governed set of tracked prompts to run continuously, allowing them to benchmark their share of voice against competitors and identify which specific URLs or content pieces AI models prefer when generating answers. The platform also identifies 'fan-out queries,' which are the background searches AI models perform to gather information, offering deep insight into the research process of different LLMs. Superlines is best suited for SEO managers, marketing directors, and agencies who need to quantify their impact in the growing field of Generative Engine Optimization (GEO). It is particularly useful for enterprise-level organizations operating across multiple markets, as it supports over 60 languages and provides localized, market-specific data. The inclusion of a Model Context Protocol (MCP) server also makes it a powerful asset for developers and AI-forward teams looking to integrate real-time visibility data directly into their own custom AI agents or automated marketing workflows. Beyond simple monitoring, the platform includes tools to actively improve visibility, such as an AEO article generator and a schema optimizer. These features help bridge the gap between identifying a lack of visibility and executing a content strategy that earns citations. By providing a structured, transparent data layer, Superlines allows companies to move away from guesswork and toward a measurable, data-driven approach to maintaining brand relevance in an AI-first search landscape.

Superlines pros & cons

Pros

  • Captures real front-end interface data instead of relying on potentially different API results.
  • Tracks a comprehensive range of 10+ AI platforms including niche models like Grok and Mistral.
  • Supports over 60 languages for global brand monitoring across different regional markets.
  • Offers a 7-day free trial across all standard tiers to test the platform's capabilities.
  • Includes a dedicated Model Context Protocol (MCP) server for advanced agentic workflows.

Cons

  • Starter and Growth plans are limited to tracking only 3 answer engines at any given time.
  • Data history is restricted to only 2 months on the non-enterprise subscription tiers.
  • Data exports in formats like CSV or Excel are not available on the base Starter plan.
  • The Site Crawl & Audit feature is excluded from the entry-level Starter package.

Superlines use cases

  • SEO Managers can monitor brand share-of-voice in Google AI Overviews and ChatGPT to adjust content strategies for better citation rates.
  • Marketing Agencies can provide clients with custom reports showing how they are framed by AI models compared to their top competitors.
  • Content Strategists can use fan-out query data to identify specific topics that AI models research, then create authoritative content to fill those gaps.
  • Developers can use the MCP server and API to build automated workflows that trigger content updates when AI visibility drops.
  • Enterprises can track brand sentiment and mention accuracy across dozens of global markets and 60+ languages simultaneously.

Superlines features

  • multi-language support
  • competitive benchmarking
  • mcp server integration
  • aeo article generator
  • schema optimizer
  • citation rate monitoring
  • fan-out query analysis
  • ai search tracking

Superlines pricing

Is Superlines free? No, Superlines doesn't offer a free plan; pricing starts at €89 / month.

Starter

€89 / month

  • 3 answer engines
  • 50 prompts tracked
  • Unlimited users
  • Daily tracking frequency
  • MCP server & API access
  • 5 AEO articles per month
  • Schema optimizer
  • 2 months of history

Growth

€379 / month

  • 3 answer engines
  • 150 prompts tracked
  • CSV, EXCEL, JSON Exports
  • 15 AEO articles per month
  • Site Crawl & Audit (100 URLs)
  • Daily tracking frequency
  • MCP server & API access
  • 2 months of history

Enterprise

Price varies

  • Up to 10 answer engines
  • Tailored prompt tracking plan
  • Strategic advisory (4h/month)
  • Unlimited AEO articles
  • Weekly site analysis (500 URLs)
  • Dedicated specialist support
  • All-time history
  • SSO & security compliance

Superlines FAQs

What is Generative Engine Optimization (GEO)?

GEO is the practice of improving how your brand is retrieved and cited within AI-generated answers on platforms like ChatGPT and Gemini. It focuses on visibility inside AI responses rather than traditional search engine rankings.

Which AI platforms does Superlines monitor?

The platform tracks real user experiences on over 10 engines, including ChatGPT, Perplexity, Microsoft Copilot, Google AI Overviews, Gemini, Claude, and DeepSeek. It captures exact outputs as a user would see them.

How does Superlines differ from traditional SEO tools?

Traditional tools track keyword rankings on search result pages, while Superlines tracks brand mentions, citations, and sentiment inside AI-generated text. It uses real interface data rather than API-based analysis.

What are fan-out queries and why should I track them?

Fan-out queries are the background web searches AI models perform to gather facts before answering a prompt. Tracking them reveals which competitor pages are winning citations and where your content gaps exist.

What is the Superlines MCP server?

The Model Context Protocol (MCP) server allows AI agents like Claude or Cursor to access your visibility data directly. This enables agents to suggest improvements and audit competitor pages through natural conversation.

Ratings & reviews

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