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Articles

Guides and analysis on ailathato.hu

Twelve in-depth articles by Zoltán Varga. Each one answers a single question, starting with the short answer.

Explainer

AI Reconstructs Brands Instead of Ranking Them

Generative systems assemble brand identities from fragmented data, making traditional SEO metrics obsolete for AI visibility.

Analysis

Why AI Gets Famous Brands Wrong More, Not Less

Abundant data fuels fluent but factually incorrect answers about famous companies, creating a hidden reputational risk that standard metrics miss.

Analysis

PEBM Study: AI Fabrication Rates for Hungarian B2B Brands

Data from the Per-Entity Bias Mapping study shows that famous Hungarian companies are more likely to receive false citations from AI models than lesser-known firms.

Explainer

Why Small Companies Are Invisible to AI Assistants

Small firms face a structural invisibility failure mode where models lack the data density required to reconstruct the entity.

Concept

Ghost Cartography: How AI Maps Half-Known Entities

When AI systems encounter partial information, they fill gaps with plausible fiction rather than admitting ignorance.

Explainer

Type 3 and Type 4 Confabulation in AI Brand Representation

AI models do not just forget; they invent plausible but false histories for known entities and merge distinct people into single profiles.

Analysis

Why Regulatory Questions Amplify AI Hallucinations About Brands

Regulatory framing activates schema completion, causing AI to fabricate compliance records for brands even when none exist.

Analysis

The CEE Entity Infrastructure Gap in AI Answers

Central and Eastern European firms face a structural visibility deficit driven by missing knowledge graph anchors and entity-linking failures.

Guide

What to Do When AI Misdescribes Your Company

A practical sequence for companies facing confident but false AI descriptions of their brand, leadership, or products.

Guide

How to Verify Claims AI Makes About a Company

A step-by-step guide to auditing AI-generated statements using claim extraction, human coding, and source verification protocols.

Checklist

Checklist: Challenging an AI Answer Without Making It Worse

Research shows that how you correct an AI determines whether it stops lying or doubles down on fake citations.

Q&A

AI Brand Hallucination Research: Empirical Facts and Next Steps

This FAQ clarifies the data behind the Brand Hallucination Paradox and outlines actionable steps for entity-level AI auditing.