# ailap.hu > Learn how to build AI-ready web pages for ChatGPT, Perplexity and Google. Understand stochastic visibility, citation risks and the PEBM audit method. AI systems do not rank experts; they reconstruct them based on machine-readable entities. This site explains how to structure content so models can verify and cite your brand without hallucination. ## 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 - AI ready website - LLM citation - GEO optimization - AEO strategy - AI hallucination risk - machine readable entity - AI audit Hungary - PEBM method - AI visibility index - AI visibility - AI láthatóság - AI hitelesség - AI idézés - generatív AI optimalizálás - AI keresőoptimalizálás - AI láthatóság mérése - AI vizualitás ## Questions and answers ### How do I make my website visible to AI assistants? Make your content machine-readable and canonically anchored so models can verify facts. Ensure all pages return HTTP 200 to AI crawlers and provide explicit data points for synthesis. Avoid relying on traditional SEO tactics alone since AI output is stochastic. ### Why do AI models sometimes invent sources for my brand? Familiarity with a brand can lead models to generate plausible but unsupported completions. This brand hallucination paradox occurs when training data fills gaps with confident but false attributions. Verification requires strict source availability and canonical anchoring. ### What is the PEBM method for AI visibility? PEBM stands for Per-Entity Bias Map and measures citation accuracy across AI models. It involves running thousands of queries to identify fabrication rates and bias patterns in specific geographic contexts. This method helps quantify the risk of false attributions for businesses. ### Is AI visibility the same as SEO? No, AI visibility is stochastic while SEO targets deterministic ranking algorithms. AI assistants synthesize answers without logging impressions or clicks, creating a different optimization challenge. Success depends on how easily a model can quote and trust your content. ### Can I get a single score for my AI visibility? Any single-number score is a proxy because visibility varies by user context and model. Audits measure three layers: raw output, app processing, and the user view. A distribution of results is more accurate than a fixed point value. ### What happens if AI crawlers cannot access my pages? If crawlers receive errors or pages are unindexed, models cannot retrieve accurate information. In one case study, all pages returned HTTP 200 but search engines indexed zero pages, causing total invisibility. Proper technical access is the first step for AI visibility. ## Related - AI visibility expert page: https://vargazoltan.ai/ai-lathatosagi-szakerto/ - AI visibility audit: https://vargazoltan.ai/audit/ - Research: https://vargazoltan.ai/kutatas/