Unstructured and blocked web data currently limits the scale of enterprise AI deployment. Companies are now building a dedicated infrastructure layer to clean and organize this information for LLMs. This shift moves data preparation from a manual task to a systematic pipeline. Practitioners can now feed higher-quality, proprietary web data into their RAG workflows.