Articles
Guides and analysis on aiprofil.hu
Twelve in-depth articles by Zoltán Varga. Each one answers a single question, starting with the short answer.
What Goes Into a Machine-Readable Company Profile
Build the minimum identity layer that allows AI agents to identify, verify, and recommend your business with confidence.
Schema.org for Companies and Experts: What to Use
A practical guide to selecting structured data types that build a consistent entity identity for generative AI systems.
sameAs Links: Connecting a Brand's Scattered Identities
Unified identity layers prevent AI fragmentation by explicitly linking scattered digital profiles into a single, verifiable entity.
llms.txt Explained: Purpose, Format and Real Weight for AI Visibility
A technical assessment of the emerging llms.txt protocol, its actual adoption rates, and its role in a broader AI visibility strategy.
How to Stop AI from Confusing Your Brand with Similar Names
A practical guide to entity disambiguation that helps AI systems correctly anchor your brand identity.
Should You Create Your Own Wikidata Entry?
Self-published knowledge base entries often fail notability checks; sustainable AI visibility relies on independent verification and owned entity layers.
Checklist: Keeping Company Facts Consistent Across the Web
A practical guide to creating a single source of truth for your brand that AI systems can trust and cite accurately.
Does Structured Data Shape AI Answers Without Being Cited?
Structured data feeds the training corpus of large language models, embedding entity relationships into parametric memory before a user ever asks a question.
Why Wikipedia Weighs Heavily in What AI Models Know
Encyclopedic data structures shape model memory, creating a divide between entities stored in weights and those found only through search.
Making an Individual Expert's Profile Machine-Readable
A multi-model test reveals why most experts remain invisible to AI and the specific technical steps required to establish a grounded digital identity.
Canonical Presence: The Anchor AI Needs for an Entity
Defining the single authoritative source of truth that allows AI systems to resolve ambiguity and prevent hallucinated representations of your brand.
Machine-Readable Profile FAQ: Schema, llms.txt, Wikidata
A practical guide to building an AI-visible entity layer that separates citation logic from human-facing web design.