Sovereignty by design. Governance by nature.
See how AI sees your organization – and your rivals
I provide AI Visibility advisory grounded in proprietary methodology, diagnostic intelligence, and ongoing international research. Not another software platform. Not another dashboard.
This is the layer between your organization and the AI systems interpreting it – where visibility, knowledge integrity, governance, sovereignty, and data residency become strategic concerns.
Our Offer For You
AI is becoming part of your organization’s knowledge, operations and decision-making. We help you understand how AI understands your website, how to govern your digital footprint, what AI can access, what your agents can do, where exposure and control gaps exist, and how to build the infrastructure to manage them. From initial assessment to continuous institutional intelligence, our engagements are built around the problems you have, not around the tools we have built. Explore more around our flagship offer:
01 – AI Exposure & Governance Assessment
02 – Enterprise AI Knowledge Control
03 – NovaX Institutional Deployment
Explore The Systems & Tools We Use
AI Visibility Inspector
An intelligence field scout that, with surgical precision, audits any page in real time across 100+ signals and returns an actionable AI Retrieval Index score.
NovaX AI Intelligence Operating System
Site-wide AI visibility intelligence. Monitor every page, track competitors, and build structural foundations that AI retrieval systems reward.
Knowledge Exposure Audit
The Knowledge Exposure Audit asks: if an AI agent or researcher legitimately crawled everything publicly accessible on this domain today, what confidential, proprietary, or strategically sensitive knowledge could it assemble? Find the answer here!
AI Assessment Center
Evaluate your organization’s enterprise AI capabilities, search visibility, and structural readiness using interactive diagnostics. Our AI Assessment Center provides instant, self-service evaluations to help enterprise leaders benchmark maturity, and mitigate risk.
G2V-3 – Beyond the Sandbox
Core question we want to answer with this experiment: Can a community of autonomous AI agents develop collective cognition through interaction, differentiated roles, shared memory, learning, disagreement, and coordination?
Agent Exposure Audit
Agent Exposure Audit is a governance instrument for checking what you actually gave your agent – before something else finds out for you. This tool exists to answer question: you built an agent – what did you actually give it?
How It Works?
Three systems. One intelligence layer.
Research – Explore the intelligence behind the Frameworks
Independent research examining how organizations, industries, institutions, and information environments are becoming visible – or invisible – to intelligent systems. Research provides the evidence, patterns, and models behind the work.
AI Assessment Center – Assess your organization yourself.
Use purpose-built assessments to evaluate AI readiness, visibility, sovereignty, knowledge exposure, and organizational capability. Each assessment provides a structured framework for identifying gaps and understanding where attention is needed.
Advisory – Work directly with the expert.
Get expert strategic guidance for complex questions around AI visibility, knowledge architecture, retrieval systems, governance, and AI sovereignty for your organization. Advisory work turns frameworks, blueprints, researches and diagnostics into decisions, priorities, and action.
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Ready to understand what AI sees – and what to do about it?
AI systems are already interpreting your organization. I help you understand what they can retrieve, how they represent you, what knowledge you expose, and where strategic intervention matters most.
Recent Articles
How to Audit an AI Agent: What You Actually Gave It?
You built an agent, it works, people like it, and you cannot say in one sentence what it is allowed to do. An AI agent audit answers one question: what did you actually give this agent? Most teams cannot answer it, because they reviewed the model and never reviewed the permissions. An AI agent (a system built around a language model that can decide, use tools and act, then repeat the cycle based on what happened) is not risky because…
National AI Visibility: Can AI Actually See Your Country?
A country can have world-class companies, universities, infrastructure, research and public institutions, and still be poorly represented when somebody asks an AI system a simple question about what that country can actually do. That is the part of the AI discussion I think we are missing. We talk constantly about AI readiness, AI sovereignty, national AI strategies, compute, models, data and regulation. Governments are building strategies around all of these things. But there is another question sitting underneath them: when…
Building a Europe AI Can See: Hungary Breaks the Average Record and the Range Record at Once
Key Takeaways A Concentrated Sample, Three Sectors Doubled Up OTP Bank. Magyar Telekom. Wizz Air. 4iG Group. Audi Hungaria. BorsodChem. Egis. Gedeon Richter. MOL Group. MVM Group. Ten companies that map onto most of what actually runs Hungary’s economy: its largest domestic bank, its incumbent telecom operator sitting alongside a newer telecom-and-ICT conglomerate that’s been absorbing Hungarian infrastructure assets, its flagship low-cost airline, one of Europe’s largest automotive manufacturing plants, a major petrochemicals producer, two of Central Europe’s biggest pharmaceutical…
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The Developer’s Guide to Section Hierarchy in Generative Engine Optimization (GEO) Blueprint
Your content ranks fine. Traffic looks stable. And yet when you ask ChatGPT or Perplexity a question your page answers directly, you are nowhere in the response. If that sounds familiar, the problem is probably not your content. It is how your markup tells a machine where one idea ends and the next one starts. Section hierarchy in GEO is the practice of structuring a page with HTML5 landmark elements (<article>, <section>, <aside>) and a clean, sequential heading order, so…
National Information Sovereignty: Why Data Sovereignty Was Never the Whole Story
If your legal team just told you the company is “covered” because your servers sit in the right country, I have a question for you. Who checked what ChatGPT, Gemini or Perplexity actually say about your organization when someone in a different jurisdiction asks. Because that answer did not come from your servers. It came from a model trained on a mix of sources you never approved, hosted somewhere you probably never audited, and updated on a schedule you do…
