# ailathato.hu

> Learn how AI assistants find, understand and cite brands. Explore the PEBM study, hallucination risks and audit methods for AI visibility.

AI systems do not rank experts; they reconstruct them based on machine-readable data. This site explains the infrastructure required for brands to be found, understood and cited by assistants like ChatGPT and Perplexity.

## 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
- brand citability
- AI hallucination
- GEO optimization
- AEO strategy
- LLMO
- answer engine optimization
- AI audit
- PEBM study
- fabricated sources
- AI citation
- machine readable entity
- AI visibility index
- Zoltán Varga
- AI kutatás
- márka láthatóság
- AI hallucináció
- keresőmotor optimalizálás

## Questions and answers

### How does AI find my company?

AI systems reconstruct entities rather than ranking them. They rely on machine-readable, canonically anchored data to point to your brand. If this data is missing, the model may fabricate sources or omit you entirely.

### What is the PEBM study?

PEBM stands for Per-Entity Bias Map. It involved 1,400 runs on 100 Hungarian B2B companies to measure source fabrication. The study found that over 45% of cited sources were incorrect across the dataset.

### Do famous brands get better AI results?

Not necessarily. Well-known brands face a higher risk of confident but false attributions. Familiarity provides models with material for plausible but unsupported completions.

### Can I improve my AI visibility score?

Single-number scores are proxies for complex distributions. Improvements require fixing crawlability, citation readiness and answerability layers. Technical access alone does not guarantee accurate citations.

### Why do AI assistants invent facts?

Non-search models showed fabrication rates between 32% and 44%. Search-grounded models like Perplexity had lower rates at 7.32%. Lack of retrieval access increases the risk of hallucination.

### Is AI visibility the same as SEO?

No. SEO targets deterministic ranking algorithms. AI visibility addresses stochastic reconstruction where answers create no logged impressions. The goal is to make content easy to quote accurately.

## Related

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