Real AI Search interface analysis
Tracks how brands appear across AI search engines using real interface data, so the results reflect what users actually see rather than API-only summaries.
Superlines is an AI Search intelligence platform that measures visibility in AI-generated answers and turns GEO insights into action via UI, API, and MCP server.
Superlines is an AI Search intelligence platform for brands, agencies, and developers that want to measure and improve visibility inside AI-generated answers. It focuses on Generative Engine Optimization (GEO), helping teams understand how their brand is retrieved, cited, mentioned, and recommended across engines such as ChatGPT, Gemini, Perplexity, Google AI Overviews, Claude, Copilot, Grok, Mistral, and related AI search surfaces.
The product’s core approach is to analyze real AI Search interfaces instead of API outputs. That gives users an as-seen-by-user view of what models show in practice, along with supporting signals such as citations, share of voice, prompt opportunities, and competitor comparisons. The platform is designed to turn those findings into measurable actions through the UI, API, MCP server, and operational tools for optimization and reporting.
Tracks how brands appear across AI search engines using real interface data, so the results reflect what users actually see rather than API-only summaries.
Measures visibility signals such as citations, mentions, brand framing, and share of voice to show not just whether a brand appears, but how it appears.
Compares brands across engines, markets, languages, topics, and competitors to identify where visibility is strong, where it lags, and where specific opportunities exist.
Surfaces prioritized actions from the data, including what to publish, update, or fix technically, so insights can feed into execution instead of remaining in reports.
Makes data available through the in-app experience as well as API and MCP server access for teams that want to connect AI visibility signals to custom systems.
Adds reporting and operational tools such as exports, automated prompt management, schema optimization, site crawl and audit features, and an action center.
In-house marketing teams can monitor how their brand appears in AI-generated answers, compare results across engines, and use prioritized actions to improve visibility over time.
Agencies can manage multiple client accounts, compare performance across markets and competitors, and generate exportable reports that support client communication and strategy.
Developers can connect AI visibility data to custom dashboards, agents, or internal workflows using the API or MCP server instead of working only inside the UI.
Enterprise teams can run broader prompt sets across regions and languages, use tailored prompt tracking, and rely on the plan structure for larger-scale visibility governance.
Superlines is a Generative Engine Optimization (GEO) and AI Search intelligence platform. It helps teams measure how brands appear in AI-generated answers, identify the sources and signals behind that visibility, and track changes over time across multiple engines.
The platform analyzes real AI Search interfaces rather than API outputs. It covers workflows such as prompt tracking, competitive benchmarking, citation and mention analysis, and action-oriented reporting through the UI, API, and MCP server.
Yes. The pricing page says every plan includes unlimited users. The plans are organized for brands and agencies, with a monthly Starter plan, a Growth plan, and custom Enterprise options.
Superlines offers a 7-day free trial on its pricing plans. The pricing page also shows paid monthly and yearly billing options, and enterprise or agency plans can be tailored to specific needs.
The public pages emphasize AI Search visibility, benchmarking, and workflow integration, but they do not spell out every setup detail or every downstream integration. For exact implementation requirements, the UI, API, MCP, and sales flow are the clearest sources on the site.