LLM Training Data
LLM-treningsdata
LLM training data is the massive text corpora that large language models learn from during training — including web pages, books, academic papers, and databases. Being represented in these sources is foundational for a brand to be mentioned by LLMs without live search.
ChatGPT 4, Gemini, and Claude are trained on broad swaths of the internet up to a given cutoff date. Brands, concepts, and people that are frequently covered in high-authority texts in the training data are more likely to be mentioned correctly by the model.
You cannot directly control training data, but you can shape your representation by: establishing a Wikipedia presence, earning coverage in authoritative media, publishing high-quality content that is indexed by crawlers, and engaging in public professional discourse.
Frequently asked questions
Can you influence what an LLM knows about your business?
Indirectly. Focus on being represented in the sources LLMs typically train on: Wikipedia, major news outlets, academic publications, and authoritative industry sites.
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