Build AI Search Intelligence into your stack

Superlines gives developers programmatic access to AI search visibility data, citation intelligence, and optimization tools through the Model Context Protocol (MCP) — the open standard that connects your AI tools directly to real-time brand analytics.

One protocol. The full MCP toolset. Full control over AI search data.

Superlines exposes its entire analytics engine through an MCP server — the same open protocol used by Claude, Cursor, Windsurf, and every major AI coding assistant. No wrapper libraries to maintain. No REST endpoints to memorize. Just declare what you need and get structured data back.

01

Real-time AI Search Analytics

Query brand visibility, citation rates, mentions, and share of voice across 10+ LLM services. Filter by model, country, language, or topic. Get daily, weekly, or monthly granularity.

02

Webpage Intelligence

Audit any URL for AI search readiness, review its technical and content quality, and generate Schema.org recommendations with implementation-ready JSON-LD.

03

Strategic Automation

Generate priority-ranked action plans, identify competitive gaps, and surface content opportunities programmatically. Let AI do the analysis while you build the workflows.


From monitoring dashboards to autonomous optimization agents

01

Custom AI Visibility Dashboards

Pull brand visibility metrics, citation data, and competitor insights into your own dashboards. Group by LLM service, country, or topic. Compare performance across time periods.

// Track brand visibility across all LLM services
analyze_metrics({
  brands: ["YourBrand"],
  metrics: [
    "brand_visibility",
    "citation_rate",
    "share_of_voice"
  ],
  granularity: "weekly",
  groupBy: ["llm_service"]
})
02

Automated Content Optimization Pipelines

Crawl your pages, audit them for LLM-friendliness, optimize Schema.org markup, and identify content gaps — all in a single automated pipeline.

// Audit and optimize a page for AI search
webpage_audit({
  url: "https://yoursite.com/product",
  includeCodeSnippets: true
})

schema_optimizer({
  url: "https://yoursite.com/product",
  includeCodeSnippets: true
})
03

Competitive Intelligence Agents

Build agents that monitor competitor visibility, analyze fan-out queries to see what AI models search before answering, and surface which competitor pages earn citations — then automatically generate content strategies to close the gap.

// Fan-out queries + winning URLs
get_fanout_query_insights({
  brands: ["YourBrand"]
})

get_competitive_gap({
  brands: ["YourBrand"],
  includeAIAnalysis: true
})

get_top_cited_url_per_prompt({
  brands: ["YourBrand"],
  limit: 10
})
04

Prompt Discovery Automation

Combine external keyword or SERP data with Superlines to autonomously discover which AI search prompts to track. Agents can convert trending keywords into conversational prompts and add them to your monitoring automatically.

// Agent flow: discover and add prompts
// 1. Get trending keywords from SERP tool
//    (DataForSEO, Bright Data, etc.)

// 2. Check what's already tracked
list_brands({ })

// 3. Add discovered prompts
add_prompts({
  domainId: "your-domain-id",
  prompts: [
    {
      text: "What's the best CRM for startups?",
      label: "serp-discovery",
      intent: "commercial"
    },
    {
      text: "How do I choose a CRM in 2026?",
      label: "serp-discovery",
      intent: "informational"
    }
  ]
})
05

AI Search Reporting Automation

Automate weekly or monthly reports with period-over-period comparisons, sentiment analysis, and strategic action plans.

// Week-over-week performance trends
get_weekly_performance({
  brands: ["YourBrand"],
  weeksBack: 12,
  metrics: [
    "brand_visibility",
    "citations",
    "mentions"
  ]
})

generate_strategic_action_plan({
  brands: ["YourBrand"]
})
06

Query & Content Intelligence

Break down tracked prompts by intent, category, and user journey stage, then connect those findings to content opportunity discovery and reporting workflows.

// Inspect tracked prompts and content gaps
get_query_data({
  brands: ["YourBrand"],
  groupBy: ["intent", "userJourneyStage"]
})

find_content_opportunities({
  brands: ["YourBrand"]
})

The current MCP toolset, organized around six workflow categories.

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 API

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 Search query 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 query
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 & Insights

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

Works everywhere MCP does

Superlines speaks MCP natively — the open protocol supported by Claude Desktop, Cursor, Windsurf, Cline, and a growing ecosystem of AI tools. Authenticate with an API key and start querying.

01

API Key

Generate an API key from your Superlines dashboard. Pass it as a header and you're live.

02

OAuth 2.0

Use the standard OAuth flow for apps that act on behalf of users. Full token refresh support included.

03

Firebase Auth

Already using Firebase? Pass your ID token directly. Superlines validates it server-side.

HTTP POST

Standard request/response for tool calls

Server-Sent Events (SSE)

Real-time streaming for long-running operations


Your AI assistant already knows how to use Superlines

Because Superlines uses MCP, any AI assistant that supports the protocol can call our tools directly. Ask Claude to "check my brand visibility on ChatGPT this week" and it calls analyze_metrics with the right parameters. Ask Cursor to "audit this page for AI search" and it calls webpage_audit. No integration code required — the protocol handles discovery, schema validation, and execution.

Every tool is read-only and non-destructive.

Superlines tools query data and generate recommendations — they never modify your website, content, or configurations. Safe to use in any automated pipeline.


Built for teams that ship

SEO Engineers

Automate audits, monitor AI search rankings programmatically, and pipe visibility data into existing SEO toolchains.

Growth Engineers

Build internal dashboards that track AI search as a measurable channel alongside organic and paid.

AI Agent Developers

Create autonomous agents that monitor, analyze, and recommend AI search optimizations without human intervention.

Agency Developers

Build multi-brand monitoring tools and automated reporting pipelines for client portfolios.


Frequently asked questions

Is the MCP server open source?
The protocol is open (MCP 2024-11-05). Our server implementation is hosted and managed by Superlines.
What LLM services does Superlines track?
We monitor 10+ LLM services including ChatGPT, Google AI Overviews, Claude, Perplexity, Gemini, and more.
Do I need a paid plan?
Yes. The MCP server requires an active Superlines subscription (Starter, Growth, Enterprise, or Agency).
Can I use this with my own AI agents?
Absolutely. Any application that speaks MCP can connect. For custom integrations, use the HTTP POST transport with your API key.
Can I combine Superlines with other MCP servers in a single workflow?
Yes. Superlines is designed to work alongside other MCP servers — SERP scrapers, keyword tools, CMS connectors, file systems — in multi-step agentic workflows. For example, an agent can use a SERP tool to find trending queries, Superlines to check competitive gaps, and a CMS connector to publish content — all in one automated flow.
What data formats do tools return?
All tools return structured JSON. Webpage tools can optionally include HTML code snippets for implementation.

Start building with Superlines

Get your API key, connect your first brand, and make your first tool call in under 5 minutes. All tools. All data. No rate limit surprises.

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