# aijelen.hu

> Track how AI models cite brands. Audit hallucinations, measure visibility, and fix reconstruction errors in ChatGPT, Perplexity, and Google AI Overviews.

This site measures how AI models describe and cite companies. It treats citability as an infrastructure problem rather than a marketing challenge.

## 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 hallucination
- AI audit
- GEO optimization
- AEO strategy
- LLMO
- AI citations
- synthetic media
- brand presence AI
- ChatGPT audit
- Perplexity accuracy
- Google AI Overviews
- AI visibility index
- AI láthatóság
- márkahallucináció
- AI auditálás
- AI hivatkozás
- generatív AI

## Questions and answers

### How do you measure AI visibility?

We run repeated queries across multiple models to map output distributions. The audit analyzes raw generation, app processing, and user display layers to calculate fabrication rates and citation accuracy.

### What is the PEBM study?

PEBM stands for Per-Entity Bias Map and analyzed 1,400 runs on 100 Hungarian B2B companies. It found that 45.9% of cited sources were fabricated overall, with higher rates for well-known firms.

### Do AI models rank experts like Google?

No, AI systems reconstruct experts based on available data rather than ranking them. Citability depends on whether a model can point to a machine-readable, canonically anchored entity.

### Why do famous brands get wrong citations?

The brand hallucination paradox suggests familiarity gives models more material for plausible but unsupported completions. Well-known brands may receive confident but false attributions due to this effect.

### Is SEO enough for AI visibility?

SEO targets deterministic search algorithms while AI visibility addresses stochastic synthesis. Optimizing for AI requires making content easy to quote and structurally sound for model ingestion.

### What costs are involved in an audit?

Costs depend on the number of queries and models tested, such as the 650-answer crop-protection study. Specific pricing varies based on the depth of the 25-dimension audit required.

## Related

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