Superlines hands an agent the numbers behind how your brand shows up in AI answers — visibility, citations, share of voice, competitor sentiment — and the same session can audit a live page and propose the markup change. It suits the team that wants the analysis and the next action in one conversation.
Superlines tracks how a brand appears in AI-powered search — ChatGPT, Perplexity, Gemini, Claude. This server connects an MCP client to that analytics data so visibility, citations and competitor standing can be asked for in natural language.
- Visibility and trend reads: `analyze_metrics`, `get_weekly_performance`, `get_period_comparison`, `get_analytics_summary`.
- Citation tracking: `get_citation_data` for domain and URL analysis, `get_top_cited_url_per_prompt` for per-query winners.
- Competitor work: `analyze_brand_mentions` with sentiment scores, `get_competitive_gap`, `get_competitor_insights`, `analyze_competitor_url`.
- Content direction: `get_query_data`, `find_content_opportunities`, `get_fanout_query_insights`, `analyze_sentiment`.
- Page auditing on any URL: `webpage_crawl`, `webpage_audit`, `webpage_analyze_technical`, `webpage_analyze_content`.
- Markup generation with `schema_optimizer`.
- Brand setup lookups through `list_brands` and `get_brand_details`.
Node.js 18+ and a Superlines account on the Enterprise plan — MCP access is Enterprise-only. Create an API key in the dashboard under Organization Settings, then pass it as `SUPERLINES_API_KEY` in the client config.
One command plus a key — npm install -g @superlines/mcp-server, then supply credentials