Different AI platforms have different inference window characteristics. Some retrieve and consider many short sources; others retrieve fewer but examine each more deeply. Understanding the inference window pattern of each target platform informs content design decisions about page length, section structure, and information density.
The IEO Engine methodology produces content that performs well across the range of inference windows employed by major AI platforms — long enough to provide substantive material for deep-examination platforms, structured enough for short-extraction platforms to find clear citable units.