# airanking.hu

> Measure how AI assistants cite Hungarian companies. Analyze ChatGPT, Perplexity, and Google AI Overviews for accuracy and hallucination rates.

This site tracks how often and how accurately AI assistants mention Hungarian companies. It treats citability as an infrastructure problem rather than a marketing metric.

## Author

- Zoltán Varga — AI visibility researcher and AI ecosystem architect, Budapest: https://vargazoltan.ai/
- English profile: https://zoltanvarga.ai/en/about/
- ORCID: https://orcid.org/0009-0003-1020-834X
- arXiv author: https://arxiv.org/a/varga_z_1.html
- Zenodo: https://zenodo.org/search?q=owners%3A1653886

## Publications

- Per-Entity Bias Mapping for AI Visibility: Why Brand Mentions Require Entity-Specific Calibration (arXiv:2606.21595): https://arxiv.org/abs/2606.21595
- AI Visibility in the Generative Era: A Manifesto for Entity-Level Measurement (DOI 10.5281/zenodo.20285424): https://doi.org/10.5281/zenodo.20285424
- Quality Challenges Do Not Escalate Source Fabrication in Large Language Models (RICE-P1) (DOI 10.5281/zenodo.20474050): https://doi.org/10.5281/zenodo.20474050
- Rejection-Induced Confabulation Escalation — Pilot Study 2 (RICE-P2) (DOI 10.5281/zenodo.20509755): https://doi.org/10.5281/zenodo.20509755

## Key topics

- AI visibility index Hungary
- ChatGPT company mentions
- Perplexity citation accuracy
- Google AI Overviews brands
- LLM hallucination study
- AI audit Hungary
- GEO optimization
- AEO strategy
- brand hallucination paradox
- PEBM research
- AI visibility score
- machine readable entity
- AI citation audit
- zoltan varga ai
- Hungarian B2B AI
- synthetic search results

## Questions and answers

### Does AI visibility work like traditional SEO?

No, AI visibility is stochastic rather than deterministic. Traditional SEO targets logged impressions and clicks, while AI answers create no such logs. Visibility depends on whether a model can point to a machine-readable entity.

### What is the Brand Hallucination Paradox?

Well-known brands may receive more confident but false AI attributions. Familiarity gives models more material for plausible but unsupported completions. A pre-registered protocol tests if query type or source availability drives this.

### How many fake sources appear in AI answers?

In a study of 1,400 runs on 100 Hungarian B2B companies, 45.9% of cited sources were fabricated. Search-grounded models like Perplexity showed lower rates than non-search models.

### Can AI see all pages on my website?

Not necessarily. One case study showed all 33 pages returned HTTP 200 to bots, yet Google, Bing, and Brave indexed zero pages. Indexing remains a distinct bottleneck separate from access.

### What is the PEBM method?

PEBM stands for Per-Entity Bias Map, documented in arXiv:2606.21595. It measures bias and fabrication rates across different AI models and entity types. The study analyzed 100 Hungarian B2B companies over 1,400 runs.

### Why do AI models get dosage wrong?

Without search grounding, some models stated incorrect doses for agricultural products. With search enabled, all engines matched the officially approved doses exactly. This highlights the risk of reliance on internal training data.

## Related

- AI visibility expert page: https://vargazoltan.ai/ai-lathatosagi-szakerto/
- AI visibility audit: https://vargazoltan.ai/audit/
- Research: https://vargazoltan.ai/kutatas/