How does Gemini source information about companies differently from ChatGPT?

Gemini’s source mix is structurally different from ChatGPT’s because it has direct access to Google’s infrastructure. The Knowledge Graph (Google’s structured database of entities and facts) is queried for entity facts, Wikipedia is heavily weighted, and Google’s live index supplies retrieval at scale. This produces answers that closely track what the brand looks like on a current Google results page, with strong emphasis on canonical entity facts. ChatGPT draws on a much broader training corpus (books, academic papers, deep web archives, Reddit, forums) plus retrieval through ChatGPT Search. The result is that the same prompt about a brand can return materially different framings: Gemini often gives the entity-canonical version (the Wikipedia summary), while ChatGPT may pull from the broader narrative ecosystem. AIQ exposes these differences explicitly so the source-layer work (improving the sources the engines read, not the engines themselves) can be targeted to the engine where the gap actually is.