Knowledge Cut-Off
RAG (Retrieval Augmented Generation)Knowledge Cut-Off is the training data boundary date for an AI model—information after this date is unknown to the model and it may hallucinate about such topics. Every model has its own cut-off date: GPT-4 had a cut-off in April 2023, while Claude's extends through early 2025. RAG solves this problem by supplying models with current information from external databases on the fly. The model doesn't need to 'know' the information; it just needs to 'read' it.
In SEO context, this is critical: AI Search engines like ChatGPT, Perplexity, and Gemini use RAG to answer questions about current topics by accessing web indexes instead of relying on training knowledge. For content creators, this presents an opportunity: if your site is well-optimized for RAG (autonomous chunks, BLUF, high E-E-A-T), AI Search will cite it when answering current-topic queries. In practice, regularly update articles with fresh dates and data. Content with dates from before the model's cut-off may not be selected by RAG.