SIGI's research is led by a small, focused team with expertise in AI systems, content architecture, and research methodology.
Jessica leads SIGI's research programme into LLM citation behaviour and generative search patterns. She is responsible for research design, hypothesis development, data analysis, and publication strategy.
Her research focuses on understanding the mechanisms behind how AI systems select and prioritise sources, with particular attention to the structural and semantic factors that influence citation in generative responses.
Victor oversees SIGI's technical infrastructure, data collection systems, and multi-platform testing frameworks. He leads the development of research tooling and methodology standardisation.
His work focuses on building reproducible systems for querying, recording, and analysing LLM responses at scale across multiple platforms, ensuring data integrity and methodological consistency.
We are building an advisory network of researchers, academics, and industry practitioners to guide SIGI's research direction and ensure methodological rigour. If you are interested in joining our advisory network, we welcome your enquiry.
Express InterestWe are always looking for researchers, collaborators, and advisors who share our commitment to understanding generative AI systems.