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. 26 tools. 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.
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.
Webpage Intelligence
Crawl any URL and get back structured SEO data, Schema.org analysis, content quality scores, and actionable optimization recommendations — all through a single tool call.
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
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.
analyze_metrics({
brands: ["YourBrand"],
metrics: [
"brand_visibility",
"citation_rate",
"share_of_voice"
],
granularity: "weekly",
groupBy: ["llm_service"]
})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.
webpage_audit({
url: "https://yoursite.com/product",
includeCodeSnippets: true
})
schema_optimizer({
url: "https://yoursite.com/product",
includeCodeSnippets: true
})Competitive Intelligence Agents
Build agents that monitor competitor visibility, analyze their top-performing URLs, and surface strategic recommendations automatically.
get_competitive_gap({
brands: ["YourBrand"],
includeAIAnalysis: true
})
analyze_competitor_url({
url: "https://competitor.com/page",
userBrand: "YourBrand",
targetPrompt: "best project management tools"
})AI Search Reporting Automation
Automate weekly or monthly reports with period-over-period comparisons, sentiment analysis, and strategic next actions.
get_weekly_performance({
brands: ["YourBrand"],
weeksBack: 12,
metrics: [
"brand_visibility",
"citations",
"mentions"
]
})
get_next_actions({
brands: ["YourBrand"]
})Keyword & SEO Research Tools
Research keywords, audit technical SEO health, and discover content opportunities for AI search — all programmatically.
keyword_research({
keyword: "best CRM software",
country: "us"
})
website_audit({
url: "https://yoursite.com"
})26 tools. 6 categories. Zero guesswork.
Brand & Domain Management
list_brands List all tracked brands and domains get_brand_details Get brand details including competitors, industry, and market settings 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_crawl Extract metadata, structured data, HTML structure, and accessibility data from any URL 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 analyze_competitor_url AI-powered deep-dive into any competitor URL 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 Advanced Analytics
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_best_performing_prompt Your strongest performing queries by visibility or citations get_period_comparison Current vs. previous period metric comparisons Strategic Planning
generate_strategic_action_plan Priority-ranked recommendations with improvement potential scores get_next_actions AI-synthesized top 3 actions combining analytics, competitor analysis, and fan-out queries SEO Tools (Beta)
website_audit Technical SEO audit with 0-100 health score keyword_research Search volume, keyword difficulty, CPC, and related keyword discovery 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.
API Key
Generate an API key from your Superlines dashboard. Pass it as a header and you're live.
OAuth 2.0
Use the standard OAuth flow for apps that act on behalf of users. Full token refresh support included.
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?
What LLM services does Superlines track?
Do I need a paid plan?
Can I use this with my own AI agents?
What data formats do tools return?
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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