{"id":15962,"date":"2025-11-06T13:54:34","date_gmt":"2025-11-06T13:54:34","guid":{"rendered":"https:\/\/blog.wellows.com\/?p=15962"},"modified":"2026-07-08T13:01:44","modified_gmt":"2026-07-08T13:01:44","slug":"found-an-opportunity-to-get-cited-in-openai","status":"publish","type":"post","link":"https:\/\/wellows.com\/blog\/found-an-opportunity-to-get-cited-in-openai\/","title":{"rendered":"I Found an Opportunity to Get Cited in OpenAI Yesterday. Today, It Was Gone"},"content":{"rendered":"
Share with AI<\/div>
\n <\/path><\/path><\/path><\/path><\/svg><\/span>\n Google AI<\/span>\n <\/a>\n <\/path><\/svg><\/span>\n ChatGPT<\/span>\n <\/a>\n <\/path><\/circle><\/svg><\/span>\n Perplexity<\/span>\n <\/a>\n <\/path><\/svg><\/span>\n Grok<\/span>\n <\/a>\n <\/path><\/svg><\/span>\n Claude<\/span>\n <\/a><\/div><\/div>\n
The Hard Truth:<\/strong> Yesterday I saw us in OpenAI. Today we were gone. That\u2019s not a metaphor. It\u2019s literally what happened when I searched the same query on consecutive days. One day, Wellows<\/a> showed up as a citation in ChatGPT\u2019s response. 24 hours later?<\/strong> Different answer. Different sources. We\u2019d vanished.<\/div>\n

So now I\u2019m sitting here with a question that probably keeps a lot of you up at night: Should we chase every AI citation opportunity or just ignore them when they disappear?<\/strong><\/p>\n

Let me back up and tell you why this matters and what the research says. Alongside external studies, we also validated these patterns with our own dataset. In our large-scale ChatGPT citation study<\/a>, we analyzed 7,785 queries<\/strong> and 485,000+ citations<\/strong> to understand which domains win LLM mentions.<\/p>\n

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The Reality: LLM Answers Are Volatile By Design<\/h2>\n
Key Insight:<\/strong> LLM outputs are probabilistic, not deterministic. That means they\u2019re supposed to change.<\/div>\n

When you type the same query into ChatGPT, Gemini, or Perplexity on different days, you\u2019re not guaranteed the same answer. In fact, you shouldn\u2019t expect it. Here\u2019s why:<\/p>\n

1. Retrieval-Augmented Generation (RAG) Systems Rotate Sources<\/h3>\n

Most modern LLMs don\u2019t just rely on their training data they pull real-time information from the web using RAG. This process involves:<\/p>\n