Research

Homiere Research

Homiere publishes a significant portion of our research on how AI systems work. We are passionate about reproducibility of our work, and transparency of AI systems, so all of our papers are based on controlled, reproducible experiments. We release the code, authored corpora and raw model outputs alongside the results. If you have any questions or suggestions, please feel free to reach out to us at hello@homiere.com. We are always looking for ways to improve our methods and our research.

Answer EnginesJuly 13, 2026

When Does the Model Look It Up? Parametric Knowledge, Controlled Retrieval, and the Mechanics of AI Answer Engines

A controlled study of how AI answer engines arbitrate between what they memorized in training and what they retrieve at query time: one authored page overrides a well-known brand's facts 93% of the time, unknown businesses become whatever the retrieved page says, and three ordinary content features each move a mid-pack option to first place.

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