// trust and citation

Source: Search Engine Journal

ChatGPT cites external sources far more frequently for travel queries than education ones. This reveals how the model's training and design choices create uneven accountability across knowledge domains. Consumers treating ChatGPT as a general-purpose advisor will get wildly different levels of verifiability depending on what they ask—travel planners receive sourced recommendations while students receive unsourced explanations. This disparity reflects neither actual expertise gaps nor user risk levels, but rather how the model was trained to handle different content categories. AI companies are outsourcing credibility problems to specific sectors like travel and hospitality while leaving others like education and health more exposed to hallucination without resistance.