# chatgptresults.hu

> Monitor how ChatGPT, Perplexity and Gemini describe brands. Independent analysis of AI citations, fabrication rates and visibility infrastructure.

This site monitors how AI assistants reconstruct brands and experts. It tracks citation accuracy, fabrication rates and the infrastructure required for reliable answers.

## 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 monitoring
- ChatGPT brand citations
- AI hallucination detection
- Perplexity source verification
- Gemini brand description
- Claude answer accuracy
- Google AI Overviews audit
- LLMO optimization
- GEO strategy
- AI citation audit
- brand reconstruction AI
- AI visibility index
- AI hallucination paradox
- machine-readable entities
- AI visibility Hungary
- ChatGPT vizualitás
- AI hibaarány
- márkahallucináció

## Questions and answers

### Do AI assistants rank experts like Google?

No, AI systems do not rank experts in a deterministic list. They reconstruct entities based on available machine-readable data. If a model cannot find a canonically anchored source, it may fabricate details to complete the answer.

### What is the AI visibility paradox?

The brand hallucination paradox suggests well-known brands receive more confident but false attributions. Familiarity provides models with material for plausible completions that lack factual support. This creates a risk where popularity increases misinformation.

### How often do AI models invent sources?

Research indicates 45.9% of cited sources were fabricated in a 1,400-run study. High-awareness firms saw a 52.7% fabrication rate. Search-grounded models performed significantly better than non-search models.

### Is AI visibility the same as SEO?

No, AI visibility is stochastic while SEO is deterministic. AI answers create no logged impressions or clicks. Optimization focuses on making content easy to quote rather than satisfying a ranking algorithm.

### Can paid partnerships improve AI visibility?

Current research treats the pay-to-appear concept as a hypothesis regarding correlation versus causation. There is no evidence that payment directly improves the quality of AI-generated citations. Infrastructure and entity clarity remain the primary drivers.

### Why do search-based AI tools perform better?

Search-based models reduce fabrication rates significantly compared to non-search models. In a crop-protection study, search-enabled engines provided correct dosage information 100% of the time. Non-search models failed to retrieve official data without active web access.

## Related

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

## Articles

- [How to Check What ChatGPT Says About Your Brand](https://chatgptresults.hu/articles/check-what-chatgpt-says-about-your-brand/): To find out what ChatGPT says about your company, you must run multiple queries in clean sessions with search enabled and disabled, then repeat the process across different assistants like Perplexity and Gemini. Record the exact text the user sees, as the raw model output often differs from the final displayed answer due to post-processing layers.
- [How to See What Google AI Overviews Say About Your Brand](https://chatgptresults.hu/articles/check-google-ai-overviews-brand/): To see what Google AI Overviews say about your company, you must perform manual brand and category searches across different devices and locations, as official Search Console data only reports impressions for queries where the overview appears, creating a blind spot for unlisted results. This manual process allows you to verify accuracy, identify missing citations, and detect potential hallucinations that automated tools miss.
- [Who Does ChatGPT Recommend Instead of You? A Competitor Check](https://chatgptresults.hu/articles/who-ai-recommends-instead-of-you/): ChatGPT recommends competitors instead of your company because your digital footprint lacks the specific entity signals, structured data, or authoritative citations required for AI synthesis. This occurs when comparison prompts favor rivals with clearer knowledge panel entries, more frequent industry mentions, or better-structured content that AI models can easily extract and cite. You can identify these replacements by running standardized 'X vs Y' and 'best provider' queries across multiple AI platforms.
- [ChatGPT vs Claude vs Perplexity: How Brand Answers Differ](https://chatgptresults.hu/articles/chatgpt-claude-perplexity-citation-behaviour/): No single assistant is universally most accurate; Claude generates the most citations but also the highest rate of fabrication, while GPT-4o often refuses to provide URLs for lesser-known firms. Grounded retrieval systems like Perplexity demonstrate the lowest fabrication rates but exhibit distinct refusal behaviors for entities lacking digital infrastructure.
- [AI Brand Monitoring Tools: What They Cover Today](https://chatgptresults.hu/articles/ai-brand-monitoring-tools-explained/): Yes, dedicated platforms now exist to monitor brand mentions, citations, and sentiment across ChatGPT, Perplexity, Gemini, and Google AI Overviews from a single dashboard. These tools capture specific data points like share of voice and source links, but they cannot account for the non-deterministic nature of AI responses which vary by user prompt and session. No current solution guarantees a complete view of every possible AI interaction or eliminates the risk of hallucinated references.
- [How Users React When AI Gets Facts Wrong About Brands](https://chatgptresults.hu/articles/how-users-react-to-ai-errors/): Users do not blindly trust AI answers about companies; visible factual errors trigger immediate skepticism and often lead to subscription cancellations among paying customers. This shift from early enthusiasm to frustration forces brands to prioritize independent verification of how AI models represent them. Trust is now conditional on the ability to detect and correct hallucinations in real-time.
- [Regulated Products in AI Answers: The Dosage Pattern](https://chatgptresults.hu/articles/regulated-products-in-ai-answers/): Yes, AI assistants can provide incorrect usage instructions for regulated products like pesticides or medications when operating without live search tools. An anonymized crop-protection study demonstrated that while engines with search access cited approved doses, those without access generated fabricated, unsafe dosage patterns. This creates immediate liability risks for brands if users rely on these unverified outputs.
- [When Disinformation Rides on AI Hallucination](https://chatgptresults.hu/articles/disinformation-riding-on-hallucination/): Yes, bad actors can exploit AI hallucinations to spread false claims by framing queries around regulatory topics like GDPR or compliance, which significantly increases the rate of fabricated citations. Research indicates this specific framing elevates false citation rates by an average of 21.1 percentage points compared to factual queries. These fabricated sources often follow realistic naming conventions but point to non-existent documents that cannot be traced or corrected by standard fact-checking.
- [When AI Agents Shortlist Vendors: Why Brand Answers Matter More](https://chatgptresults.hu/articles/ai-agents-shortlisting-vendors/): Yes, AI agents will choose suppliers on behalf of buyers by executing multi-step tasks like requesting quotes and processing payments. If a brand lacks structured, machine-readable data, the agent silently eliminates it from the shortlist before a human ever reviews the options. This shift turns brand visibility into a prerequisite for transaction eligibility.
- [Documenting AI Answers: Screenshots, Timestamps and Context](https://chatgptresults.hu/articles/document-ai-answers-as-evidence/): To record AI answers about your brand effectively, capture full-page screenshots that include the date, time, and specific prompt used. You must also document the exact model version, search mode, and any cited sources to ensure the record holds up during a correction request.
- [AI Answer Monitoring: Understanding Share of Voice Metrics](https://chatgptresults.hu/articles/ai-answer-monitoring-metrics-glossary/): In AI answer monitoring, share of voice measures the percentage of total AI-generated responses where a specific brand appears compared to competitors. It is calculated by dividing the number of times a brand is mentioned by the total number of monitored queries across platforms like ChatGPT, Perplexity, and Google AI Overviews. This metric indicates presence but does not guarantee accuracy or positive sentiment.
- [ChatGPT Results FAQ: Independence, Accuracy and Corrections](https://chatgptresults.hu/articles/chatgpt-results-faq/): No, chatgptresults.hu is not affiliated with OpenAI, Google, Anthropic, or any AI model provider. This hub operates as an independent research resource to audit how different platforms generate answers about brands and to identify fabrication. All methodologies rely on public data and ground-truth comparisons against official entity sources.