# aicitation.hu

> Learn how AI answer engines cite sources and how to become a citable entity. Data-driven insights on AI visibility and hallucination risks.

AI answer engines do not rank experts; they reconstruct them based on machine-readable entities. This site explains the infrastructure required to become a citable source in stochastic AI outputs.

## 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 citation
- AI visibility
- answer engine optimization
- GEO strategy
- AEO methods
- LLMO techniques
- AI hallucination
- citable source
- AI audit
- machine-readable entity
- stochastic visibility
- AI answer engines
- AI visibility index
- AI visibility workshop
- PEBM study
- AI citation research
- AI visibility Hungary
- AI audit Hungary

## Questions and answers

### How do AI answer engines decide which sources to cite?

AI systems cite sources based on their ability to reconstruct a machine-readable, canonically anchored entity. If the model cannot find a clear digital footprint, it may fabricate a source or omit attribution entirely.

### Why do famous brands get more wrong citations?

Well-known brands face the brand hallucination paradox where familiarity fuels plausible but false completions. Models use existing knowledge of the brand to generate confident but unsupported attributions.

### What is the difference between SEO and AI visibility?

SEO targets deterministic rankings with logged clicks, while AI visibility is stochastic with no logged impressions. AI visibility focuses on how models synthesize answers rather than how Google ranks pages.

### Can I improve my AI visibility score?

Single-number scores are proxies for complex distributions across user contexts. Improvements require fixing the underlying infrastructure, such as ensuring canonical anchors and crawlable entity data.

### Do AI bots read all pages on a website?

Crawlers may return HTTP 200 status for all pages but fail to index them due to bottlenecks. In one case, major engines knew zero pages despite full access to 33 URLs.

### Is paying for ads guaranteed to increase AI citations?

There is no guarantee that paid placement causes increased organic citations. The pay-to-appear hypothesis suggests a correlation exists, but causality remains unproven.

## Related

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