From monitoring to autonomous optimization
Superlines is the intelligence layer for AI search automation. Combine real-time visibility data with AI agents, SERP tools, and CMS connectors to build workflows that discover, analyze, create, and optimize — at whatever level of automation fits your team.
Four levels of AI search automation
Start wherever you are. Most teams begin with monitoring and progress through analysis and automation as they see results. Each level builds on the previous — no need to jump straight to full autonomy.
Monitor
Track brand visibility, citations, and sentiment across 10+ AI engines. See exactly how AI models describe your brand — through the UI or in-app agent.
Analyze
Dig into fan-out queries to see what AI models actually search before answering. Identify competitive gaps, discover which content earns citations, and surface strategic opportunities.
Automate
Connect the Superlines MCP server to AI assistants and build repeatable workflows — competitive reports, content audits, prompt discovery, and strategic action plans that run on command.
Autonomize
Build fully autonomous pipelines where AI agents discover prompts to track, analyze competitive gaps, create optimized content, and publish to your CMS — all without manual intervention.
Superlines as the intelligence backbone
The MCP server exposes 26+ analytics tools that any AI agent can call. Combine with external data sources and action tools to build complete workflows.
┌─────────────────────────────────────────────────────────────┐
│ YOUR AI AGENT │
│ (Claude, Cursor, Windsurf, Custom Agent) │
└───────────┬──────────────────┬──────────────────┬───────────┘
│ │ │
┌────────▼────────┐ ┌──────▼──────┐ ┌────────▼────────┐
│ INTELLIGENCE │ │ EXTERNAL │ │ ACTION │
│ │ │ DATA │ │ │
│ Superlines MCP │ │ │ │ CMS Connector │
│ ─────────────── │ │ SERP Data │ │ File System │
│ · Visibility │ │ Keywords │ │ Email/Slack │
│ · Fan-out │ │ GSC Data │ │ Publishing │
│ · Citations │ │ Competitor │ │ │
│ · Competitive │ │ scraping │ │ │
│ · Audits │ │ │ │ │
└──────────────────┘ └─────────────┘ └─────────────────┘Intelligence Layer
Superlines provides AI search analytics — visibility metrics, fan-out queries, competitive gaps, citation data, and content audits. This is the data that drives decisions.
External Data Layer
SERP scrapers, keyword tools, Google Search Console, and web crawlers provide market context. Combined with Superlines data, agents have a complete picture.
Action Layer
CMS connectors, file systems, and communication tools let agents act on insights — creating content, publishing articles, and alerting teams.
Three workflows that change the game
Each workflow uses Superlines data as the starting point, combines it with external tools, and produces actionable output. Start with any one of them.
Prompt Discovery
An agent combines external keyword data, SERP trends, and Google Search Console signals to discover high-value prompts. It checks what you already track, identifies gaps, and adds new prompts to Superlines automatically.
Prompt Discovery guideKeyword/SERP Tool AI Agent Superlines
│ │ │
│ trending queries │ │
├──────────────────►│ │
│ │ check tracked │
│ ├─────────────────►│
│ │◄─────────────────┤
│ │ add new prompts │
│ ├─────────────────►│Competitive Intelligence
Superlines fan-out query data reveals which competitor pages AI models trust and cite. An agent monitors these patterns, scrapes winning competitor content, and generates actionable content strategies to close the gap.
Fan-Out Intelligence guideSuperlines AI Agent SERP Scraper
│ │ │
│ fan-out data, │ │
│ competitive gaps │ │
├──────────────────►│ │
│ │ scrape winning │
│ │ competitor pages │
│ ├─────────────────►│
│ │◄─────────────────┤
│ │ │
│ content strategy report │Content Pipeline
A multi-agent system where an analyst gathers intelligence from Superlines, a researcher scrapes and fact-checks content, and a content manager creates optimized articles in your CMS. Runs daily as a 7-phase pipeline.
AEO Pipeline guideAnalyst Agent Researcher Content Mgr
(Superlines) (Bright Data) (Sanity CMS)
│ │ │
│ 1. Intelligence │ │
│ 2. Gaps ────────►│ scrape winners │
│ 3. Audit │ 4. Fact-check ───►│
│ │ 5. Research │
│ 6. Stories ─────────────────────────►│
│ 7. PublishTwo paths to getting started
How you start depends on what data you already have. Both paths lead to the same destination — a continuously optimized AI search presence.
You have existing marketing data
If your team has messaging frameworks, FAQ databases, support data, or keyword lists, you already know what your customers ask. Import these as tracked prompts, organized by brand, persona, and funnel stage.
- Import prompts from marketing messaging & FAQs
- Organize by brand, label, and competitive context
- Involves brand, insights, content, and comms teams
- Immediate competitive benchmarking from day one
You need to find the right prompts
If you're starting fresh, let Superlines help you discover what matters. Use Prompt Radar, Google Search Console integration, and MCP-powered agents to find high-value prompts automatically.
- Prompt Radar auto-discovers trending prompts from SEO/SERP/PAA data
- Google Search Console integration imports high-performing queries
- MCP agents combine keyword tools with AI to generate strategic prompts
- Prompt Variations test different phrasings automatically
What autonomous AI search optimization delivers
Long-tail SEO visibility
Content optimized for the exact queries AI models research, driving organic traffic from specific, high-intent searches.
AI brand positioning
Consistent, accurate brand representation across ChatGPT, Gemini, Perplexity, and every major AI assistant.
Automated optimization
Workflows that continuously discover opportunities, create content, and close competitive gaps without manual intervention.
Full-cycle measurement
Track the impact of every change — from new content to schema updates — with Superlines as the feedback loop.
Start building
Step-by-step cookbook guides for every level of automation.
Setup MCP & AEO Agent
Get Superlines MCP running in Claude Desktop or Cursor. No technical background needed.
IntermediateAutomated Prompt Discovery
Find the right prompts to track using Prompt Radar, GSC, and MCP-powered discovery agents.
IntermediateFan-Out Query Intelligence
Use fan-out data to see what AI models search and which competitor content wins citations.
IntermediateAutomate GEO Workflows
Workflow templates for competitive analysis, content audits, and reporting in Claude Desktop and Cursor.
IntermediateGEO + SEO Marketing Agent
Build a multi-server marketing analyst combining Superlines, DataForSEO, and Bright Data.
AdvancedAgentic AEO Pipeline
Build a fully autonomous 7-phase content pipeline with three specialized sub-agents.
Frequently asked questions
Do I need to be a developer to use agentic workflows?
No. The simplest agentic workflows run through Claude Desktop or Cursor — you describe what you want in natural language and the AI assistant handles the tool calls. Our workflow automation guide covers the progression from manual prompts to templates to full automation. Developer skills only become necessary for building fully autonomous pipelines that run on a schedule.
How do I find the right prompts to track?
You have multiple options depending on your situation. Import from existing data (marketing messaging, FAQ databases, keyword lists), use Prompt Radar to auto-discover trending prompts, connect Google Search Console for high-performing queries, or build an MCP-powered agent that combines external keyword data with Superlines to discover and add prompts autonomously. See our Prompt Discovery guide for details.
What are fan-out queries?
When AI models answer questions, they often perform background web searches to gather information. Superlines captures these "fan-out queries" and shows you what the AI searched for, which pages it found, and which URLs earned citations. This is powerful competitive intelligence — you can see exactly which competitor content AI models trust and where your content is missing. See our Fan-Out Intelligence guide.
Can I combine Superlines with other data sources in a workflow?
Yes. The Superlines MCP server is designed to work alongside other MCP-compatible tools. Common combinations include SERP scrapers (DataForSEO, Bright Data) for keyword trends and competitor content, CMS connectors (Sanity, WordPress) for automated publishing, and file system tools for report generation. The MCP protocol handles the orchestration.
How autonomous can the workflows get?
Fully autonomous. Our Agentic AEO Pipeline runs a 7-phase daily pipeline with three specialized sub-agents that monitor visibility, analyze competitors, audit content, fact-check claims, research trends, and create articles in your CMS — all without manual intervention. You can start with simple manual workflows and progressively automate as you build confidence.
Start your automation journey
Begin with monitoring, progress to automated workflows, and build toward fully autonomous AI search optimization.
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