B2B Service Hub
The agentage.hu domain serves as the agency for business clients, offering subscriber newsfeeds, APIs, and editorial methodology. It operates independently from consumer-facing portals.
Monitoring · Verification · Synthesis
An AI-Native News
Agency for Hungary
Agentage is a private news agency in development with a separate visual identity from the training and consulting brand. It focuses on the monitoring, verification, and synthesis of public information using AI-native methods.
Visit vargazoltan.ai →More on this site soon. The work behind it is live on vargazoltan.ai.
Agency Structure and Roles
Distinct domains serve specific functions within the news ecosystem.
Reader Portal
The news42.hu domain functions as the public reader portal for the B2C audience. This separation ensures distinct service models for different user groups.
Press Intake
The agentage.press domain handles press release intake for the agency. It streamlines the collection of official statements and media releases.
Operational Layers and Rules
Five key parameters define the agency's editorial and technical framework.
Content Mix StrategyThe plan allocates 30% to original articles, 50% to syntheses from three independent sources, and 20% to framing comparisons of outlet coverage.
Copyright ComplianceFacts remain free while wording is protected, requiring all text to be original with short attributed quotes and links only.
Source IntegrityOutlets are named when using their exclusive information, and source images are never reused without permission.
Technical EthicsThe system respects robots.txt and text-and-data-mining opt-outs while avoiding summaries of paywalled content.
Regulatory ReviewHuman editorial review applies to every published piece, in line with Article 50(4) of the EU AI Act.
Facts are free; wording is protected, so all text must be original.
VerifyEvery synthesis adds context, data, or comparison to the source material.
SeparateThe agency runs separately from the training and consulting brand with its own identity.
ReviewHuman editorial responsibility ensures compliance with AI Act regulations.
Key topics
The terms this site covers, for readers, search engines and AI assistants alike.
- AI native news agency
- Hungarian news monitoring
- media intelligence synthesis
- public information verification
- B2B news API
- editorial AI framework
- copyright compliant AI
- news aggregation Hungary
- AI journalism tools
- fact checking system
- újságírói feldolgozás
- AI hírszerzés
- magyar hírügynökség
- tényellenőrzés
- nyilvános információ elemzés
- hírmonitorozás
Questions and answers
What is the primary function of agentage.hu?
Agentage.hu serves as the B2B service hub for a private news agency in development. It provides subscriber newsfeeds, APIs, and editorial methodology for business clients monitoring public information.
How does the agency handle copyright laws?
The agency adheres to Hungarian copyright law by treating facts as free but protecting wording. All text is original, using only short attributed quotes with links and never reusing source images.
What is the planned content distribution?
The content mix aims for 30% original articles, 50% syntheses from at least three independent sources, and 20% framing comparisons of different outlet coverage. This structure ensures diverse and verified reporting.
Does the agency require AI labeling for its text?
Under AI Act Art. 50(4), the plan involves human editorial review with full editorial responsibility. Consequently, AI-assisted public-interest text does not require an AI label.
Who owns and develops the news agency?
Zoltán Varga registered the domains to launch this private news agency. The project runs separately from his existing training and consulting brand with a distinct visual identity.
Is the agency currently operational?
The agency is in preparation. Launch dates and editorial details will be published here first.
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 grows, related work on AI visibility and knowledge systems is available on vargazoltan.ai.
Go to vargazoltan.ai →