Kagi Search Empowers AI Models to Perform Better?

Kagi Search has claimed that AI models can perform up to 80% better when sourcing data using Kagi Search, but the company has not published an independent experiment to support the figure. The article suggests Kagi could hire an independent marketing research firm to run a blind preference test in which consumers rate paired AI outputs generated with Kagi Search versus Google search.

If Kagi wishes to strengthen its claim that "AI models can perform up to 80% better when sourcing data using Kagi Search,” it could do so by hiring an independent marketing research firm to conduct an experiment. In this experiment, consumers would evaluate pairs of query result outputs from an AI model ideally Kagi Assistant itself , where one output is generated using Kagi Search and the other is generated using only Google search. Participants would be asked to identify which output was preferred on a rating scale e.g., Strongly Prefer Output 1, Prefer Output 1, Prefer Neither, Prefer Output 2, Strongly Prefer Output 2 . In this way, Kagi would hopefully have evidence that AI outperforms when it is powered by Kagi Search.