Knowledge Seeding
We deploy optimized semantic nodes to favor direct ingestion by RAG systems and LLM crawlers. Setting the stage for algorithms.
Intelligence Visibility Protocol
The Independent Observatory
on AI Citability
Kat3x analyzes and defines how Large Language Models map the productive fabric. We apply Knowledge Seeding practices to transform digital invisibility into Semantic Recognition.
"
An artificial intelligence cannot cite what it does not understand. And it cannot understand what is not structured.
Kat3x Observatory
The Architecture of AI Integration
How we bridge the gap between corporate data and Large Language Models.
Kat3x: The Observational Node
We monitor data ingestion and semantic brand assimilation in Generative models. Through rigorous Diagnostic Protocols, we measure the actual AI Citability of corporate web architectures.
CHKCD: The Normative Standard
The independent technical framework encoding data structuring via TONL syntax. It provides baseline directives so AI crawlers can extract information without semantic dispersion.
The Three Pillars of Recognition
Diagnostic Protocol
We do not offer opinions, but scientific and replicable tests to assess your brand's degree of Semantic Recognition on a global scale.
AI Citability
The ultimate goal: ensuring the company is present, cited, and understood in AI-driven decision-making processes.
AI Visibility Reports
Knowledge Seeding: Recent semantic assimilation experiments.
Strategy / Manifesto
Veneto 2030: AI Positioning & Regional Citability
Il tessuto produttivo veneto eccelle nell'economia reale, ma risulta invisibile ai sistemi AI. Senza un approccio strutturato (Knowledge Seeding), l'eccellenza non genera Semantic Recognition.
PDF HTML MD
Hospitality & TourismComing Soon
Hotel Services Discovery: Test di Citabilità
Gli LLM ignorano le descrizioni poetiche prive di struttura. Analizziamo la 'Net Semantic Assimilation' delle strutture ricettive per trasformare il copy di lusso in dati interrogabili.
Processing...
Methodology / Standards
AI Diagnostic Protocol v1.0 (Standard CHKCD)
Il Protocollo Diagnostico ufficiale per misurare l'AI Citability aziendale. Basato su CHKCD, offre un metodo pubblico e replicabile per quantificare l'ingestione dati da parte degli LLM.
PDF MD
Measure your AI Citability
Access the Diagnostic Playground. Use our standard protocol to verify your brand's data ingestion level on major LLMs.
Start Free Diagnostic