The large dataset of text used to teach an LLM language patterns and knowledge.
Training data refers to the massive collection of text used to train large language models. This data typically includes books, websites, articles, forums, and other text sources—often comprising trillions of words. The quality, recency, and composition of training data directly affects what an LLM knows about any given topic, including your brand. Most LLMs have knowledge cutoff dates, meaning they only know information from their training data up to a certain point.
We help ensure the information about your brand that exists in training data is accurate, positive, and comprehensive.
Your brand's presence in training data affects how LLMs understand and recommend you. Content published before an LLM's knowledge cutoff becomes part of its foundational knowledge.
Information from your website being included in training data
Reviews and mentions from third-party sites
News articles and press coverage about your brand
You can't directly add content, but by having quality content widely published and linked, it's more likely to be included in future training runs.
This is challenging but manageable. Newer content and retrieval systems can partially override training data, and optimization strategies can improve how your brand is represented.
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