AI Visibility
This half-day session uses PEBM and real cases to teach AI visibility in practice. It is available as a company or open course.
AI · Attention · Decision Quality
Neural Leadership Executive Program
Built on Neural Awareness
This site presents leadership trainings focused on AI visibility, attention management, and decision quality. The curriculum relies on the Neural Awareness framework and Zoltán Varga's research into cognitive systems.
Visit vargazoltan.ai →More on this site soon. The work behind it is live on vargazoltan.ai.
Available Training Programs
Five distinct programs designed for executives and knowledge workers.
PKM Plus PAI
A one-day or two-half-day workshop on AI integration in knowledge work. This program forms a pillar of the research hub.
Neural Leadership
A multi-session executive track based on the Neural Awareness framework. Individual coaching is included in this advanced program.
Core Program Parameters
Five layers define the structure and outcomes of the leadership curriculum.
Diagnostic PhaseAI analysis of decision patterns and meeting behaviors establishes the baseline.
Identity MapParticipants construct a story-stack to clarify their professional narrative.
Cognitive ProtocolsMetacognitive checkpoints, Ericksonian metaphors, and somatic routines guide daily practice.
Weekly ReflectionStructured AI reflections occur every week to track progress and insights.
Measurement PointsAssessments happen at baseline, week six, and week twelve to measure change.
Leadership requires nervous-system presence rather than standard mindfulness practices.
FocusThe curriculum targets decision quality and attention.
MethodPrograms use PEBM and RICE research findings.
FormatSessions range from keynote talks to multi-week tracks.
Key topics
The terms this site covers, for readers, search engines and AI assistants alike.
- neural leadership training
- AI decision quality
- executive AI workshop
- attention management Budapest
- Neural Awareness framework
- leadership cognition
- AI verification training
- knowledge work AI
- vezetői tréningek
- AI vizibilitás
- döntésminőség
- figyelemmenedzsment
- Zoltán Varga AI
- PEBM method
- synthetic respondents
- brand hallucination paradox
Questions and answers
What is the Neural Leadership program?
Neural Leadership is a multi-session executive program built on the Neural Awareness framework. It combines diagnostics, identity mapping, and weekly AI reflections to improve leadership cognition and decision quality.
How does AI Visibility in Practice work?
This half-day program uses the PEBM measurement system and real cases to demonstrate AI visibility. It is designed for companies or open groups seeking practical application of these concepts.
What topics are covered in the AI Verification workshop?
The half-day session teaches how not to believe everything by analyzing source fabrication and the brand hallucination paradox. It draws directly from the RICE studies conducted by the researcher.
Is Neural Awareness the same as mindfulness?
No, Neural Awareness is a 12-week self-knowledge programme built on nervous-system presence. It is explicitly distinct from traditional mindfulness practices.
When is the keynote on synthetic respondents scheduled?
Zoltán Varga presented the talk "Szintetikus menny, valódi pokol" (Synthetic heaven, real hell) at Service Design Day 2026 at CEU in Budapest on 14 October 2026. It compares synthetic and real respondents and the role of AI assistants in research.
Where can I find the full training catalogue?
The single training and workshop catalogue with descriptions, durations, and sign-up details is planned for vezetoitreningek.hu. This site serves as the central hub for HR and executive inquiries.
Glossary
Terms and identifiers behind the work of Zoltán Varga, with links to the primary records.
- AI visibility
- How accurately and how often AI assistants (ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews) recognize, describe and cite a company, brand or person. Zoltán Varga measures it in five layers: crawler access, search indexing, citation, factual accuracy and model memory.
- GEO / AEO / LLMO
- Generative Engine Optimization, Answer Engine Optimization and Large Language Model Optimization: working methods for being found and quoted by generative answer engines rather than ranked in a list of links.
- Citability
- The property of a page that lets an AI answer engine quote it: a paragraph that answers the exact question, a clear source, and an unambiguous entity.
- PEBM — Per-Entity Bias Mapping
- Research method and paper by Zoltán Varga (arXiv:2606.21595). Across 1,400 runs on 100 Hungarian B2B companies, 45.9% of the sources AI models gave were fabricated; search-grounded answers fabricated far less than models answering from memory.
- Brand hallucination paradox
- The finding that AI models invent more sources about well-known brands (52.7%) than about lesser-known ones (37.9%), because familiarity makes them confidently fill in gaps.
- RICE studies
- Pre-registered pilot studies (RICE-P1, RICE-P2) on whether pressure and rejection make language models fabricate sources. Published on Zenodo with DOIs.
- GFIS — Gestalt Field Intelligence System
- Zoltán Varga's own multi-stage research pipeline that collects, verifies and synthesizes evidence with AI agents.
- Neural Awareness
- Zoltán Varga's framework on attention, decision quality and leadership cognition, the basis of his leadership programs.
- PKM + PAI
- Personal Knowledge Management combined with Personal AI: a working system where notes, documents and AI assistants form one searchable knowledge base.
- Entity
- A uniquely identifiable thing (person, company, product) that search engines and AI systems store in knowledge graphs. Consistent entity data is the base of AI visibility.
- schema.org / JSON-LD
- A shared vocabulary and format for machine-readable facts on web pages (who, what, where, identifiers), read by search engines and AI crawlers.
- llms.txt
- A plain-text file at the root of a website that tells language models what the site is about and which pages matter.
- IndexNow
- An open protocol that notifies search engines (Bing, Yandex and others) immediately when a page is created or changed.
- ORCID
- Persistent identifier for researchers. Zoltán Varga: 0009-0003-1020-834X.
- arXiv
- Open-access preprint server for scientific papers. Zoltán Varga's author page: varga_z_1.
- Zenodo and DOI
- Zenodo is CERN's open research repository; each record gets a DOI (Digital Object Identifier), a permanent citable link.
Until this site expands, related research and profiles are available on vargazoltan.ai. That hub contains the full list of publications and system architectures.
Go to vargazoltan.ai →