AI Visibility
This half-day session uses the PEBM measurement system and real cases. It is available as an open event or a company workshop.
AI Visibility · Neural Leadership · Decision Quality
Leadership Trainings
AI in Practice
This site serves as a single catalogue for leadership trainings and workshops focused on AI visibility and decision quality. It provides descriptions, formats, and sign-up details for HR professionals and executives seeking applied AI strategies.
Visit vargazoltan.ai →More on this site soon. The work behind it is live on vargazoltan.ai.
Programme Offerings
Five core programmes built on existing research and practical frameworks.
PKM + PAI
A one-day or two-half-day workshop on AI in knowledge work. It forms a central pillar of the research hub.
Neural Leadership
A multi-session executive programme based on the Neural Awareness framework. It includes individual coaching and focuses on nervous-system presence.
Core Method Parameters
Five structural elements defining the training approach.
PEBM MeasurementVZ's own measurement system validates AI visibility through real case studies.
RICE StudiesSource-fabrication measurements and the brand hallucination paradox inform verification training.
Neural AwarenessA 12-week self-knowledge programme built on nervous-system presence rather than mindfulness.
Decision DiagnosticsAI analysis of decision and meeting patterns forms the basis of the hybrid leadership programme.
Metacognitive ProtocolsCheckpoints, Ericksonian metaphors, and somatic routines structure the weekly reflection process.
Synthetic respondents cannot replace real market voices in strategic decision-making.
ResearchProgrammes rely on PEBM, RICE studies, and the Neural Awareness framework.
FormatOfferings range from 30-minute keynotes to multi-session executive tracks.
AudienceContent targets HR leaders, L&D teams, and C-suite executives.
Key topics
The terms this site covers, for readers, search engines and AI assistants alike.
- leadership training AI
- executive AI workshop
- AI visibility training
- Neural Leadership
- decision quality AI
- PKM PAI workshop
- AI verification training
- Zoltán Varga training
- vezetői tréningek
- AI kutatás Budapest
- vezetői fejlesztés
- mesterséges intelligencia oktatás
- AI stratégia tréning
- neural awareness program
- AI hallucination training
- knowledge work AI
Questions and answers
What is the AI Visibility in Practice workshop?
It is a half-day training based on the PEBM measurement system and real cases. The session is available as an open event or a private company workshop.
How does Neural Leadership differ from mindfulness?
The programme is based on the Neural Awareness framework which focuses on nervous-system presence. It is explicitly designed as a self-knowledge track distinct from standard mindfulness practices.
What topics are covered in the AI Verification session?
This half-day workshop addresses how not to believe everything by using RICE studies. It examines source-fabrication measurements and the brand hallucination paradox.
Are there keynote talks available on AI topics?
Yes, 30 to 60-minute talks are part of the offering. One example covers synthetic versus real respondents as voices of the market.
What is the PKM + PAI workshop about?
This programme focuses on the integration of AI in knowledge work. It is structured as a one-day event or two half-day sessions.
Who created the training programmes listed here?
All programmes are built on existing material or the own research of Zoltán Varga. He is the creator of the PEBM system and the Neural Awareness framework.
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.
Related research and publications are available on vargazoltan.ai. This domain will serve as the dedicated catalogue for future workshop schedules.
Go to vargazoltan.ai →