Superlines
Superlines is an AI Search Intelligence platform that measures and improves how brands are retrieved, cited, and recommended across AI assistants (ChatGPT, Gemini, Perplexity, and more) via UI, API, and a Model Context Protocol (MCP) server.
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Freemium from Not publicly listed β custom pricing
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Superlines
Superlines is an AI Search Intelligence platform designed for brands, agencies, and enterprises to measure, benchmark, and improve their visibility inside AI-generated answers across multiple AI assistants. Rather than relying on API calls, Superlines captures real front-end outputs from platforms such as ChatGPT, Google Gemini, Perplexity, Claude, Mistral and others to provide an as-seen-by-user view of how LLMs describe, cite, and recommend brand content. The platform exposes decision-grade visibility data through a web UI, API, and an enterprise-grade Model Context Protocol (MCP) server, enabling teams to discover where their brand appears, why competitors are cited, and what content and technical fixes will move the needle.
Superlines is an AI Search Intelligence platform that measures and improves how brands are retrieved, cited, and recommended across AI assistants (ChatGPT, Gemini, Perplexity, and more) via UI, API, and a Model Context Protocol (MCP) server.
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Claim this listingKey Features
Decision-grade AI Visibility
Analyzes real AI Search interfaces (front-end outputs) rather than API responses to show exactly how models present and cite your brand to users.
Critical AI Visibility Signals
Identifies which URLs AI models prefer, how your brand is framed in answers, and why competitors are cited over you so you can prioritize content and technical fixes.
Global Competitive Benchmarking
Tracks brand visibility across multiple AI platforms, regions, and languages to benchmark share of voice, surface rising competitors, and measure market-specific performance.
MCP Server & API
Enterprise-ready Model Context Protocol (MCP) server and API feed real-time visibility intelligence directly into AI agents, custom workflows, or in-app integrations.
Continuous, Governed Model Surveys
Run a governed set of tracked prompts at scale across selected AI models and categories to continuously monitor changes and surface actionable opportunities.
In-app Agent & Execution
Provides an in-app agent plus UI and API access so teams can turn visibility findings into prioritized actions and measure improvements over time.
Pricing
7-day free trial (cancel anytime)
Custom / Enterprise
Not publicly listed β custom pricing- Full platform access
- MCP server & API access
- Multi-market, multi-model benchmarking
- Enterprise onboarding and support
Agency
Not publicly listed β contact sales- Manage multiple clients
- Exportable reports
- Partner program benefits
Developer / SMB
Not publicly listed β contact sales or start trial- API access
- In-app agent
- Model monitoring
Use Cases
Brand Visibility Monitoring
Continuously track where and how your brand appears in AI-generated answers across leading AI assistants and understand the content earning citations.
Competitive Benchmarking
Compare your brandβs AI Search share of voice against competitors, detect new entrants, and analyze what content drives competitor visibility.
Agency Reporting & Differentiation
Agencies can manage multiple clients in one platform, generate exportable reports, and use decision-grade AI Search data to differentiate pitches and demonstrate impact.
Integrating AI Visibility into Agents and Workflows
Feed live visibility intelligence into AI agents or custom workflows via the MCP server or API to inform responses and downstream automation.
GEO (Generative Engine Optimization)
Use Superlines to practice and measure Generative Engine Optimizationβimproving how your content is retrieved and cited within AI-generated answers.
Integrations
ChatGPT
Captures front-end outputs from ChatGPT to show how the model cites and recommends brand content.
Google Gemini / Google AI Overviews / Google AI Mode
Tracks Googleβs AI interfaces and overviews to measure brand visibility and citations shown to users.
Perplexity
Monitors Perplexityβs user-facing answers to surface which sources and pages are preferred.
Microsoft Copilot
Collects the outputs users see in Copilot to determine how the brand is represented and cited.
Claude
Analyzes Claudeβs front-end responses to understand citation patterns and content performance.
Mistral
Surveys Mistral model outputs to include emerging model behavior in visibility tracking.
Grok
Includes Grokβs user-facing outputs in overall visibility and benchmarking datasets.
DeepSeek
Captures DeepSeek outputs as part of multi-engine AI Search monitoring.
MCP Server & API
Feeds real-time visibility intelligence into agents and custom workflows via the Model Context Protocol server and public API.
Benefits
Limitations
Frequently Asked Questions
What is Generative Engine Optimization (GEO)?
Why is AI Search visibility important?
What is Superlines and how does it work?
Which AI platforms does Superlines monitor?
Can I track competitors in AI Search?
How soon can we see results?
Getting Started
- 1 Start a 7-day free trial or book a demo to see platform capabilities.
- 2 Onboard by defining your category, tracked prompts, target markets, and competitors to survey across selected AI models.
- 3 Run continuous surveys, review identified visibility opportunities, prioritize actions (content, technical fixes), and measure results over time.
Support
Docs
Documentation and changelog available under Resources -> Documentation and Changelog on the website.
Demo / Sales
Book a demo via the website to get a walkthrough and discuss pricing or enterprise needs.
Trial
Start a 7-day free trial from the site to evaluate the platform.
Contact
General contact available via the site contact page (https://www.superlines.io/contact).
API
Documentation available via the product resources / documentation pages (https://www.superlines.io/documentation)
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