What data sources do AI models use to answer questions about brands?

Modern AI engines draw on four source categories. The first is the training corpus: the public web at the model’s training cutoff, including news archives, Wikipedia, books, academic papers, and large amounts of forum and social content. The second is retrieval-augmented generation: live web pages fetched at the moment the user asks a question, used by Perplexity, ChatGPT Search, Google AI Overviews, and others. The third is structured knowledge: Wikidata, the Google Knowledge Graph, and other databases that the engines query directly for entity facts. The fourth, and the one that has shifted the picture most over the last two years, is user-generated content: Reddit threads, YouTube transcripts, podcast episodes, and platform-specific forums that classic SEO ignored. A reputation program that influences only Google search results misses the second, third, and fourth categories.