# aiprofil.hu

> AI Profile makes company facts consistent and machine-readable. Optimizes entity data, schema.org, and llms.txt for AI visibility.

This site defines an entry-level package to make company facts consistent and machine-readable for AI systems. It solves the infrastructure problem where models reconstruct entities rather than rank them.

## 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
- machine readable facts
- entity optimization
- schema.org for AI
- llms.txt guide
- AI citation
- brand hallucination
- GEO strategy
- AEO optimization
- LLMO tactics
- AI profile package
- AI visibility audit
- AI profil
- gépi olvasható adatok
- AI láthatóság
- szintézis optimalizálás

## Questions and answers

### How does AI visibility differ from traditional SEO?

AI visibility is stochastic, meaning results vary with each query, unlike deterministic SEO rankings. Models reconstruct entities based on available data rather than following a fixed algorithmic ladder.

### What is the PEBM study finding regarding citations?

The PEBM study found that 45.9% of cited sources in AI answers were fabricated overall. High-awareness firms saw a 52.7% fabrication rate compared to 37.9% for low-awareness firms.

### Why might well-known brands face more hallucinations?

Well-known brands may receive more confident but false attributions due to the brand hallucination paradox. Familiarity gives models more material for plausible but unsupported completions.

### What does an AI Profile package include?

An AI Profile package ensures company facts are consistent and machine-readable for AI systems. It covers entity data standardization, schema.org implementation, and llms.txt creation.

### Can AI systems track clicks on their answers?

No, an AI answer creates no logged impression or click in the traditional sense. Measurement requires analyzing the three output layers from raw model text to the user interface.

### What is the cost of measuring AI visibility?

Cost depends on scope: how many AI engines are tested, how many questions are asked and how often each question is repeated. A focused measurement can be run for a small budget; a full audit with repair work is scoped individually.

## Related

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