Use Superlines where your team already works
Bring Superlines intelligence into the AI assistants, workflows and systems your organization already uses. Connect through MCP to tools such as Claude, ChatGPT, Cursor and n8n, or use the API to bring granular AI Search data into your own dashboards, applications and reporting workflows.
The same intelligence, inside the tools your marketing organization already uses
Enterprise marketing teams and agencies rarely want another dashboard to log into. With MCP, Superlines data is available wherever the team already asks questions, builds reports or ships changes.
Claude
Ask Claude how your brands performed across AI engines this week, which competitors gained share of voice, or which sources shaped an answer — and get responses grounded in live Superlines data.
"Compare our share of voice vs. the top three competitors in Germany and the UK this month."
ChatGPT
Connect Superlines to ChatGPT so marketing, brand and comms teams can query AI Search performance in plain language without opening another dashboard.
"Which prompts lost visibility on Google AI Mode in the last 30 days, and who replaced us?"
Cursor
Use Superlines inside Cursor to audit pages, benchmark topics and verify website changes against real citation and visibility data while editing your site.
"Audit /pricing for AI Search readiness and propose schema and content fixes."
n8n
Automate recurring work: weekly visibility digests per market, alerts when a competitor overtakes a brand, or data pushes into Slack, Teams, Sheets or your data warehouse.
Every Monday → pull period comparison per brand → post summary to #marketing-insights.
Model Context Protocol Server
Connect Superlines to Claude, ChatGPT, Cursor, n8n or any MCP-compatible tool. Your team can query AI visibility across brands and markets, analyze competitors, audit pages and generate action plans — all through natural language, with no integration code.
Included on every plan. Authenticate with an API key, OAuth 2.0 or Firebase Auth. Supports HTTP and Server-Sent Events transports.
{
"mcpServers": {
"superlines": {
"url": "https://mcpsse.superlines.io?token=${SUPERLINES_API_KEY}",
"transport": "http"
}
}
}REST API
Bring granular AI Search data into your own BI dashboards, data warehouse, internal applications and centralized reporting. The Superlines REST API provides structured access to the same response-level data that powers the platform.
curl -X GET \
'https://api.superlines.io/v1/metrics' \
-H 'Authorization: Bearer sk_...' \
-H 'Content-Type: application/json' \
-d '{
"brands": ["Your Brand"],
"metrics": [
"brand_visibility",
"citation_rate",
"share_of_voice"
],
"granularity": "weekly",
"startDate": "2025-01-01"
}'AI Agent built into the platform
Prefer to stay inside Superlines? The in-app agent generates strategic action plans, competitive analyses and content recommendations directly in the platform — powered by your real visibility data.
- Strategic action plans based on your data
- Competitive gap analysis on demand
- Webpage audits for AI search readiness
- Content opportunity recommendations
How enterprise marketing teams and agencies use it
The technical depth exists to serve a marketing use case: getting granular AI Search intelligence to the people who make brand, content and communication decisions.
Centralized reporting
Marketing analytics teams pull visibility, share of voice and citation data for every brand and market into Looker, Power BI, Tableau or a data warehouse alongside the rest of the marketing data.
Brand & communications
Brand and comms teams ask Claude or ChatGPT how AI engines describe the company, which sources shape the narrative and where competitors are recommended instead.
SEO & content
SEO and content teams use Cursor and Claude with Superlines in context to audit pages, close citation gaps and verify changes against real AI Search data.
Agency client reporting
Agencies automate per-client visibility digests and competitor alerts with n8n, and standardize reporting across portfolios, markets and AI engines.
From monitoring to autonomous optimization
Superlines is built as the intelligence layer for agentic marketing workflows. Combine it with content agents, SERP scrapers, and CMS connectors to automate your entire AI search strategy.
Automated Prompt Discovery
Combine external keyword data and SERP tools with Superlines MCP to automatically discover and add high-value prompts. An agent can analyze trending searches, check what you're already tracking, and fill gaps autonomously.
Read the guideSERP Scraper AI Agent Superlines
│ │ │
│ trending queries │ │
├─────────────────►│ │
│ │ check existing │
│ ├─────────────────►│
│ │◄─────────────────┤
│ │ │
│ │ add new prompts │
│ ├─────────────────►│Fan-Out Competitive Intelligence
See exactly what AI models search for before answering. Identify which competitor pages earn citations, discover content gaps, and feed insights directly to your content team or content agent.
Read the guideget_fanout_query_insights({
brands: ["YourBrand"]
})
// Returns: what AI models search,
// which URLs they find, which pages
// earn citations, and where
// competitors are winningAutonomous Content Pipeline
Build a multi-agent system where Superlines provides the intelligence, a content agent creates optimized articles, and your CMS publishes them. Run daily without manual intervention.
Read the guideAnalyst Agent Researcher Content Mgr
(Superlines MCP) (Bright Data) (Sanity CMS)
│ │ │
│ 1. Intelligence │ │
│ 2. Competitive ──►│ scrape winners │
│ 3. Content audit │ │
│ │ 4. Fact-check ──►│
│ │ 5. Research │
│ │ │
│ 6. Data stories ─────────────────── ►│
│ 7. PublishWhat is available through MCP and the API
Everything in the Superlines platform is exposed as structured tools organized around six workflow categories. The same tools power Claude, ChatGPT, Cursor, n8n and custom integrations.
Brand & Domain Management
list_brands List all tracked brands and domains get_brand_details Get brand details including competitors, industry, and market settings create_brand Create a new brand and start background analysis and prompt generation get_brand_setup_status Check whether a newly created brand is ready for analytics Prompt Management
add_prompts Add tracked prompts to a domain with text, label, and intent pause_prompts Pause active prompts by prompt ID or label unpause_prompts Reactivate paused prompts when you want to resume tracking update_prompt_labels Set, add, or remove labels on prompts for cleaner reporting Core Metrics
analyze_metrics Brand Visibility, Citation Rate, Mentions, Share of Voice with flexible grouping and filtering get_citation_data Domain-level and URL-level citation analytics analyze_brand_mentions Mention counts, sentiment scores, and competitor presence in AI responses get_query_data Prompt analysis with intent classification and user journey stages get_weekly_performance Week-over-week trends for all core metrics Webpage Intelligence
webpage_audit Comprehensive LLM-friendliness audit covering technical SEO, content quality, and AI optimization webpage_analyze_technical Focused technical analysis: metadata, schemas, headings, accessibility webpage_analyze_content Focused content analysis: tone, writing quality, citations, structure schema_optimizer Generate optimized Schema.org JSON-LD with implementation code Competitive Intelligence
get_competitive_gap Find prompts where competitors lead and where you're winning get_competitor_insights Top cited domains and most mentioned brands get_top_cited_url_per_prompt The #1 cited URL for each tracked prompt get_fanout_query_insights Analyze the web searches LLMs perform when answering questions get_best_performing_prompt Surface the prompts where your brand already performs strongest Strategy & Reporting
analyze_sentiment Sentiment breakdown of AI responses mentioning your brand find_content_opportunities Topics with high query volume but low brand visibility get_analytics_summary High-level overview with top topics and overall metrics get_period_comparison Current vs. previous period metric comparisons generate_strategic_action_plan Priority-ranked recommendations with improvement potential scores Step-by-step guides
Start with the workflow that matches how your team works: in Claude Desktop, in Cursor, in Claude Code, or in a fully automated pipeline.
Claude Desktop: Marketing Analyst
Connect Superlines to Claude Desktop and run competitive analysis, content audits and reporting workflows in natural language.
Cursor: LLM-Friendly Website
Use Superlines MCP inside Cursor to benchmark topics, audit live pages, edit the repo, and verify AI-ready website improvements.
Claude Code: Optimization Loop
Build a repeatable analyze → refactor → verify workflow for AI search optimization with Superlines MCP and terminal-level validation.
Frequently asked questions
Do we need engineering resources to use MCP or the API?
Not for MCP. Connecting Superlines to Claude, ChatGPT or Cursor is a configuration step that a marketing team can complete in minutes, after which anyone on the team can ask questions in natural language. Engineering or analytics support is typically only involved when you build custom dashboards or applications on top of the REST API.
Which tools can connect to Superlines through MCP?
Any MCP-compatible tool. Common choices in marketing organizations are Claude, ChatGPT, Cursor and n8n, and the same server also works with Claude Code, Windsurf and custom agents. For integrations that do not speak MCP, use the REST API.
Is MCP included in all plans?
Yes. The MCP server is included on every Superlines plan, including agency plans. REST API access is included from the Growth tier upward, for both brand and agency plans.
Is it safe to connect Superlines to AI assistants and automations?
Yes. Superlines tools return data and generate recommendations; they never modify your website, content or configurations. Prompt-management tools can add, pause or relabel the prompts Superlines tracks, but nothing outside Superlines is changed. Authentication uses API keys, OAuth 2.0 or Firebase Auth, and all data is encrypted in transit and at rest.
Can Superlines be combined with other data sources in one workflow?
Yes. Superlines is designed to be the AI Search intelligence layer alongside other MCP servers and APIs — SERP and keyword tools, Google Search Console, CMS connectors, BI platforms and communication tools. A typical workflow pulls competitive gaps from Superlines, enriches them with external data and delivers a brief to the content or comms team.
What data formats does the API return?
All tools and endpoints return structured JSON, which makes the data straightforward to load into BI tools, data warehouses, spreadsheets and internal applications. Webpage tools can optionally include HTML snippets for implementation.
Bring Superlines intelligence into your stack
Connect Superlines to the tools your team already uses, or talk to us about how enterprise marketing teams and agencies integrate AI Search intelligence into their reporting.
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