RankScan monitors how large language models mention, rank, compare, and cite your brand — and benchmarks you against competitors across AI search platforms.
Traditional SEO tools track search engine rankings.
RankScan tracks AI-generated visibility across conversational systems.
Built with Node.js · TypeScript strict · PostgreSQL
Monitors your brand across AI platforms
Users now ask AI systems instead of browsing search results. These systems synthesize, summarize, recommend, and compare brands — without any traditional ranking signal.
LLM brand recall frequency
Citation frequency inside AI responses
Competitor dominance in AI answers
Sentiment bias in model outputs
Share of voice inside generated answers
RankScan measures what AI models actually say.
A full-stack analytics suite built for the post-search era of brand intelligence.
Track brand mentions across AI providers and measure frequency, prominence, and positioning. Get a structured view of how each model surfaces your brand in comparison to the competitive landscape.
Multi-provider · Real-timeCompare how AI platforms recommend your brand against competitors in structured prompts. Measure share of voice and dominance metrics per provider.
Structured PromptsAnalyze tone classification — positive, neutral, negative — using configurable AI models applied to raw provider responses at scale.
AI-Powered ScoringExtract and categorize citation URLs from AI responses. Understand which sources are driving your brand's AI-generated authority.
URL AttributionStore executions, raw responses, metadata, and historical trends. Full audit trail for every prompt run across every AI provider.
Historical TrendsAutomate recurring prompt runs with provider-level health tracking, circuit breaker patterns, and fallback handling built in.
Cron · Health MetricsRankScan integrates both official APIs and headless browser scraping to cover the full AI search landscape — ensuring no visibility gap is left unmeasured.
Circuit breaker pattern with automatic fallback handling. Failed providers isolated. Scheduled retries restore healthy state.
Production-ready. Multi-tenant. Extensible. Every layer built with engineering-first decisions.
RankScan answers this with a structured 6-step execution pipeline that runs automatically on a schedule.
RankScan consolidates brand intelligence from every major AI search provider into a unified analytics layer — no manual monitoring, no guesswork.
Contact Developer"Finally a tool that shows us how AI is talking about our brand — not just how we rank in Google. The competitor benchmarking alone justified the setup."
"Scheduled prompt executions mean we wake up with fresh visibility data every morning. The sentiment scoring caught a negative drift in Gemini before we did."
"The circuit breaker + fallback handling is exactly what we needed for reliable client reporting. This is infrastructure-grade, not a toy dashboard."
Everything you need to know about RankScan's AI visibility intelligence platform.
Contact DeveloperAI visibility is now measurable. Built with production-grade architecture.