airanking.hu

Articles

Guides and analysis on airanking.hu

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

Guide

How a National AI Visibility Index Is Built: Sampling, Scoring, and Aggregation

A step-by-step guide to the methodology behind measuring how well AI systems understand Hungarian businesses.

Analysis

Why a Single AI Visibility Score Misleads Your Strategy

A single number cannot reveal whether your brand is absent from AI training data or confidently misrepresented by it.

Explainer

The Per-Entity Bias Map: Calibrating AI Visibility

A framework for mapping and correcting unique error profiles of individual entities across AI platforms before comparison.

Explainer

Classifying Companies by Their AI Error Profile

Grouping entities by specific AI failure modes reveals why aggregate scores miss critical reputational risks.

Guide

How to Sample Companies for a Fair AI Visibility Ranking

A practical guide to designing unbiased samples for measuring AI hallucination rates across different brand salience levels.

Explainer

AI Visibility Maturity Levels: What They Mean for Your Company

A practical guide to the five maturity levels that determine whether AI systems can identify, understand, and recommend your business.

Analysis

How AI Visibility Differs Across Sectors in the Hungarian Market

Sector-level audit averages show distinct gaps in AI-readiness between service providers and general commerce.

Concept

Odds Ratios and Confidence Intervals in AI Visibility Research

A practical guide to interpreting statistical measures in AI brand visibility and hallucination research.

Analysis

Should an AI Visibility Index Weight Platforms Equally?

Equal weighting hides critical differences in how models cite sources, fabricate URLs, and engage with low-salience entities.

Checklist

Checklist: Publishing an AI Visibility Ranking Responsibly

A practical guide to communicating AI visibility data without overstating findings or obscuring methodological limits.

Analysis

Validity Threats in AI Visibility Rankings

A technical breakdown of the nine critical validity threats that undermine AI visibility indices and the specific controls required to fix them.

Q&A

Hungarian AI Visibility Index: What It Measures and How It Works

A new benchmark for Hungarian SMEs evaluates how well their digital presence can be understood, cited, and used by artificial intelligence systems.