Can models see product nuance?
Genesis 01 tests whether vision systems understand brand, season, similarity, and uncertainty.
Research for how AI decides what shoppers should buy.
We study how models see products, form preferences, route shoppers, and turn recommendations into commerce outcomes.
Our mission is to make AI commerce measurable.
AI shopping is not just a new interface. It is a recommendation layer with taste, shortcuts, and commercial consequences. Caeliai studies that layer so brands can understand what is happening before the market treats it as obvious.
What does AI keep choosing?
Genesis 02 maps repeated model taste: the designers, objects, and narratives systems converge on.
Where does demand go?
Genesis 03 follows recommendations into official pages, third-party leaks, and missing purchase paths.
Research built for the AI recommendation era.
Genesis is the research layer behind Caeliai. Each study looks at a different part of machine-mediated discovery: what models perceive, what they prefer, and where their recommendations send shoppers.
Testing AI vision on high-fashion nuance.
A foundational benchmark comparing CLIP, SigLIP, and DINOv2 across runway images, uncertainty detection, and collection coherence.
Tracing what LLMs repeatedly choose in fashion.
A multi-model look at aesthetic consensus, canonical fashion objects, and how preference clusters emerge across current AI systems.
Measuring whether AI recommendations create a buy path.
A field study of ChatGPT and Gemini shopping conversations, measuring official wins, third-party leaks, and no-PDP losses after a brand is recommended.
When research becomes commercial, it becomes scoring.
The advisory page turns this research into a practical score for ecommerce brands. The proof is not that Caeliai sells scoring. The proof is that Caeliai has already done the research.
Recommendation systems can be observed, tested, and compared.
AI answers create new forms of shelf space before search clicks happen.
Recommendations only matter commercially if they lead shoppers to usable buying paths.