Macro close-up of a high-fidelity UI dashboard showing model citations and vector coordinates, high-contrast digital glow on deep slate background, sharp focused light.
Macro close-up of a high-fidelity UI dashboard showing model citations and vector coordinates, high-contrast digital glow on deep slate background, sharp focused light.
/ SYSTEM STATUS: ACTIVE

Map your brand in vector space

Track real-time citation rates and discover how generative models retrieve, rank, and recommend your brand across major LLM search engines.

Abstract vector map showing clustered nodes and citation pathways, high-contrast digital glow with dark ambient background, sharp focused light sources.
Abstract vector map showing clustered nodes and citation pathways, high-contrast digital glow with dark ambient background, sharp focused light sources.
01 / CORE CAPABILITIES

Engineered for generative search

Traditional crawlers are obsolete. Our platform reverse-engineers retrieval-augmented generation to expose your brand's true share of voice.

RAG Visibility Tracking

Monitor which unstructured data sources, documentation nodes, and PR outlets models trust when synthesizing answers about your industry.

Competitor Share of Voice

Map the exact coordinate distance between your brand and competitors inside specific category vector spaces to identify citation gaps.

02 / TECHNICAL SPECIFICATIONS

The mechanics of measurement

A high-density look at the protocols, API endpoints, and data pipelines powering our real-time LLM tracking and vector mapping engine.

QUERY LATENCY
RETRIEVAL ANALYSIS
OPTIMIZATION PLAYBOOKS

Real-time citation rates

Source attribution mapping

Structured data injection

We query major models millions of times daily, calculating exact citation frequency and recommendation probability for your brand.

Expose the exact training nodes and real-time web search results that models pull from when generating category recommendations.

Get automated recommendations for schema adjustments, unstructured content formatting, and trusted source seeding to trigger model citations.