Analyze websites, detect technologies, audit SEO infrastructure, evaluate AI visibility, and uncover the systems powering modern web experiences.
Technology Detection · SEO Intelligence · AI Visibility · Infrastructure Analysis
Explore Intelligence ToolsPlatform Architecture
All analysis surfaces share a single detection ecosystem — one graph, one confidence system, one evolving intelligence layer powering every specialized view.
Full-spectrum technology fingerprinting and infrastructure detection.
Deep metadata, semantic, and indexability diagnostics.
Evaluate how AI systems discover, retrieve, and cite your content.
DNS, SSL, CDN, and edge architecture analysis.
Intelligence Workstation
The complete intelligence surface — every signal, confidence score, and infrastructure relationship surfaced in one unified view.
Focused Intelligence Interfaces
Each tool is a focused analysis interface powered by the same unified detection engine — purpose-built for specific search intents and diagnostic workflows.
Identify WordPress, Shopify, Wix, Webflow, headless CMS, and ecommerce platforms.
Detect Website CMS →Uncover hosting providers, cloud infrastructure, ASN data, and CDN edge architecture.
Check Hosting Provider →Detect React, Vue, Angular, Next.js, Nuxt, and client-side hydration systems.
Detect JS Framework →Audit title tags, meta descriptions, canonical tags, robots directives, and Open Graph.
Check Metadata →Extract JSON-LD, schema.org types, structured data, and rich result eligibility signals.
Extract Schema →Map Cloudflare, Fastly, Akamai, and other edge delivery networks and caching layers.
Check CDN Network →Detect GA4, GTM, Meta Pixel, Segment, and full tracking infrastructure.
Detect Analytics →Run a complete multi-layer analysis across all intelligence systems simultaneously.
Open Workstation →AI-Native Analysis
Modern AI systems — from search engines to large language models — depend on structured discoverability, semantic clarity, and crawlable infrastructure to surface and cite web content. Understanding these signals is no longer optional.
Detect whether AI crawlers can access and index your content — robots.txt, fetch headers, and bot access signals.
Measure how clearly your content communicates intent, entities, and topical signals to retrieval systems.
Evaluate whether your content structure is optimized for AI-generated answers and citation in LLM responses.
Extract and evaluate named entities, topical relationships, and knowledge graph signals that AI systems rely on.
Detection Architecture
Built on a self-learning detection infrastructure — not a list of signatures. The engine continuously evolves, correlates, and refines its understanding of the modern web stack.
Multi-signal detection assigns confidence weights across response headers, DOM structure, resource patterns, and behavioral signatures.
Every detection carries a calibrated confidence score — high-signal findings are surfaced prominently, ambiguous signals are flagged for review.
Detected technologies are mapped as a relationship graph — exposing co-occurrence patterns, dependency chains, and infrastructure clusters.
Technology combinations are analyzed against known deployment patterns — validating and reinforcing detection accuracy through probabilistic co-occurrence modeling.
The detection ecosystem evolves continuously — new platforms, frameworks, and infrastructure patterns are incorporated as the web stack changes.
Infrastructure signals are extracted without active probing — analyzing public-facing headers, certificates, DNS records, and response patterns.
Who Uses This Platform
Whether you're auditing a client site, optimizing for AI visibility, or mapping a competitor's stack — the platform provides the depth you need.
Deep metadata audits, schema diagnostics, crawlability analysis, and AI search readiness scoring for technical SEO workflows.
Competitive intelligence, client site audits, technology benchmarking, and infrastructure comparison across client portfolios.
Understand competitor tech stacks, benchmark infrastructure decisions, and evaluate AI search exposure for content strategy.
Detect platform capabilities, CMS limitations, schema gaps, and AI visibility weaknesses before they affect organic performance.
Identify frameworks, CDN configurations, edge architectures, and server-side rendering patterns across any web property.
Map DNS configurations, SSL certificates, edge infrastructure, HTTP headers, and server technology relationships.
Optimize content structure for AI retrieval, validate structured data, and ensure entity clarity for semantic search.
Quantify AI visibility gaps, audit citation readiness, and deliver structured recommendations for LLM search performance.
Platform Comparison
AI Citation Scan operates at a fundamentally different depth than traditional technology detection utilities.
What Professionals Say
Common Questions
AI Citation Scan is a unified website intelligence platform that combines technology fingerprinting with AI visibility analysis, SEO diagnostics, and infrastructure graphing — all powered by one shared detection engine. Traditional checkers identify technologies in isolation; this platform surfaces relationships, confidence scores, and AI search signals simultaneously.
The AI visibility score evaluates semantic clarity, entity extraction quality, structured data completeness, crawlability for AI bots, and content retrievability signals. Each dimension is scored individually and combined into a composite AI readiness score — giving teams a clear, actionable picture of their AI search exposure.
The detection system identifies CMS platforms (WordPress, Shopify, Webflow, headless CMS), JavaScript frameworks (React, Vue, Angular, Next.js, Nuxt), hosting providers, CDN networks (Cloudflare, Fastly, Akamai), analytics systems (GA4, GTM, Meta Pixel, Segment), SSL configurations, DNS infrastructure, and hundreds of additional web technologies.
Yes. Every specialized tool — from the CMS Detector to the CDN Checker to the AI Visibility Workstation — is powered by the same shared intelligence engine. They are focused analysis views over the same underlying detection infrastructure, not separate standalone products.
Absolutely. The platform is used by SEO teams, digital agencies, infrastructure analysts, SaaS companies, publishers, and AI optimization consultants. The intelligence depth and confidence scoring make it well-suited for professional workflows and client reporting.
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Enter any URL to instantly surface technology detections, SEO signals, AI visibility scores, and infrastructure intelligence — powered by one shared engine.
Technology Detection · SEO Intelligence · AI Visibility · Infrastructure Analysis
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