Why does ChatGPT cite My competitors instead of Me and how do LLMs choose websites?Solved

Participant
Discussion
3 weeks ago Apr 02, 2026

We have been optimizing our site for months and we finally rank number one on Google for our core keywords. But when I ask ChatGPT the exact same question, it completely ignores us and cites a competitor with a frankly terrible website. Meanwhile, Claude just hallucinates a completely fake answer. Why is the citation behaviour so wildly different across models? Are they pulling from their base training data or doing live web searches? And I keep hearing that getting a Wikipedia page forces the AI to respect your brand. Is that actually true? 

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Participant
3 weeks ago Apr 03, 2026
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This is the exact problem breaking the brains of traditional SEO professionals right now, Devin. The biggest trap is thinking an LLM is just a giant, compressed hard drive of the internet. 

When ChatGPT provides a citation, it is almost never reciting its base training data. It is using a process called Retrieval Augmented Generation. When you prompt it, the AI pauses, runs a live web query behind the scenes, reads the top text results in real time, and synthesizes an answer using only the information from those specific links. 

Here is why your competitor is winning: they are ranking on a different search engine. 

  • ChatGPT runs its live searches primarily through the Bing index. 
  • Gemini uses the Google Search index. 
  • Perplexity uses a custom hybrid of its own crawling and third party search APIs. 

If your website ranks number one on Google but sits on page three of Bing, ChatGPT will never even see your text during its live retrieval phase. It physically cannot cite you. If you want to be cited by OpenAI, you have to do Bing SEO. 

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Participant
3 weeks ago Apr 04, 2026
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@nevaeh perfectly explained the live search mechanics, but let us talk about the base training data and why Claude might be hallucinating your brand entirely. 

Before an AI can search the live web, it is pre trained on massive data dumps like Common Crawl, which is essentially petabytes of scraped internet text. However, AI labs do not treat all data equally. They heavily filter the junk and mathematically upsample high trust domains. Sites like Wikipedia, ArXiv, and GitHub are fed through the training algorithm multiple times so the AI learns to treat them as absolute fact. 

This brings us to your question about Wikipedia and brand value. What you are actually asking about is Entity Authority. 

If your competitor has a Wikipedia article, a Wikidata entry, or heavy mentions in major news outlets, they become a permanent, recognized entity embedded deep within the model’s neural network. The AI fundamentally understands who they are. If your brand only exists on your own newly launched domain, the AI has no foundational memory of you. When it tries to process a live web search about a brand it does not recognize, its prediction engine gets confused and it starts hallucinating. 

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