Frequently asked questions

Generative Engine Optimization (GEO) is the practice of improving how your brand is retrieved, cited, and recommended inside AI-generated answers on platforms like ChatGPT, Google Gemini, Perplexity, and Mistral. While SEO focuses on ranking web pages in search results, GEO helps you track visibility in AI search, analyze how large language models interpret your content, and measure which actions improve your presence across AI platforms.

AI assistants like ChatGPT, Google AI Mode, Perplexity, and Mistral are where customers increasingly start their discovery process. When people ask these platforms for recommendations, brands that appear first gain trust, visibility, and awareness earlier in the buying journey. According to Gartner, 50% of traditional search traffic will be replaced with generative AI by 2028.

Superlines is an AI Search Intelligence platform built primarily for enterprise marketing teams and marketing agencies. It continuously tracks where your brands appear in AI-generated answers, how prominently they are positioned, which competitors are recommended instead, and which sources AI engines cite — across markets, languages and AI engines. All data is granular, transparent and easy to act on, in the platform or through the API and MCP server.

Superlines is built for two primary customer groups. Enterprise marketing teams use it to measure and improve AI Search visibility across brands, products and markets, giving brand, SEO, content, communications and digital teams one source of truth for how AI platforms represent the company. Marketing agencies use it to manage AI Search visibility across client portfolios, benchmark competitors and report progress across brands, markets and AI engines. Self-service plans are also available for smaller teams that need the same category of intelligence at lower data volumes. See Superlines for enterprise marketing teams and Superlines for agencies.

We track the real front-end experiences users see on ChatGPT, Perplexity, Microsoft Copilot, Google AI Overviews, Google AI Mode, Google Gemini, DeepSeek, Claude, Mistral, and Grok. Instead of relying on API calls, we capture the exact outputs shown on these sites — exactly as a user would see them.

Most tools rely on API-based answer analysis, which differs from what users actually see in AI interfaces, and many reduce AI visibility to a single composite score. Superlines captures data from the real user-facing AI Search interfaces and exposes the granular response-level data behind every score: mentions, position, share of voice, citations, source URLs and competitors, per prompt, engine and market. It is built for enterprise and multi-brand organizations and supports execution through the UI, in-app agent, API and MCP server — making it actionable at scale.

Yes. Superlines gives you a detailed view of how your competitors perform across AI search. You can see which brands are cited most often, what type of content earns them visibility, and how their share of voice changes over time. It also highlights new market entrants and rising competitors.

The Superlines MCP (Model Context Protocol) server lets your team use Superlines intelligence where they already work. Connect it to Claude, ChatGPT or Cursor and ask questions about brand visibility, competitors, citations and sources in natural language, or connect it to n8n to automate recurring reports and alerts. No integration code is needed, and MCP is included on every plan. See MCP & API for details.

There are two main approaches depending on your situation. If you have existing marketing data — messaging frameworks, FAQ databases, support tickets, keyword lists — you can import those directly into Superlines and organize them by brand and label. For teams that need discovery, Superlines offers Prompt Radar, which automatically identifies trending prompts from SEO, SERP, and People Also Ask data sources that you're not yet tracking. You can also import prompts from Google Search Console based on high-impression or high-click queries. The MCP server can further automate this — for example, an agent can combine external keyword data with AI analysis to discover and add strategic prompts automatically.

When an AI model answers a question, it often performs background web searches to gather information — these are called fan-out queries. Superlines tracks these searches and shows you exactly what the AI looked for, which results it found, and which pages earned citations. This is powerful competitive intelligence: you can see which competitor pages are winning citations, discover content gaps where you're missing from AI research, and identify the exact topics and URLs that AI models consider authoritative for your key prompts.

Yes. Superlines supports a progression from manual monitoring to fully autonomous optimization. At the simplest level, you use the dashboard and in-app agent for analysis. The next step is using the MCP server to run automated workflows — for example, an AI agent that periodically checks your competitive gaps, audits top-performing competitor pages, and generates content recommendations. At the most advanced level, you can build autonomous content pipelines that discover opportunities, create optimized content, and publish to your CMS — all without manual intervention. See our Cookbook for step-by-step guides at every level.

Absolutely. The Superlines MCP server is designed to be the intelligence layer in agentic marketing workflows. You can combine it with other MCP servers — such as SERP scrapers, keyword research tools, or CMS connectors — to build multi-step flows where AI agents autonomously discover prompts to track, analyze competitive gaps via fan-out queries, audit competitor content, and feed insights to content creation agents. Our Agentic AEO Pipeline cookbook shows a production-ready example using three specialized sub-agents.

Average Position shows where your brand typically appears in the order of mentions within AI answers. If an AI response recommends five brands and yours is mentioned second, your position for that response is 2. The dashboard shows a volume-weighted average across all your tracked prompts, a trend chart with competitor comparison, and a leaderboard ranking all brands by their average position. Lower is better — Position 1 means your brand is the first recommendation.

Most teams identify their first improvement opportunities during onboarding and can measure visibility changes within days. Superlines enables faster iteration and measurable progress from day one.

Yes. Every new account gets a 7-day free trial with access to core platform features.

Yes. We have a dedicated partner program for agencies with volume discounts, white-label options, and partner support. Learn more about our agency program.

Use Superlines where your team already works. Connect through MCP to tools such as Claude, ChatGPT, Cursor and n8n, or use the REST API to bring granular AI Search data into your own dashboards (Looker, Power BI, Tableau), data warehouse, applications and reporting workflows. MCP is included on every plan; API access is included from the Growth tier.

Yes — enterprise marketing teams are a primary customer group. Superlines is built for organizations managing multiple brands, markets and languages, with unlimited brands and competitors, up to 10 AI engines, large custom prompt sets, centralized reporting, SSO/SAML, dedicated success management and a dedicated AEO strategist on Enterprise plans. Learn more or contact us for enterprise pricing.

Yes. Superlines is designed for multi-market and multi-brand organizations. You can track any combination of countries and languages, manage several brands, product lines or business units under one account, and compare performance across markets, brands and AI engines from a centralized view. There is no extra charge for additional markets or languages.