Genesis 01: a vision benchmark for fashion AI.
Benchmarks fashion-intelligence behavior across CLIP, SigLIP, and DINOv2 — uncertainty, impostor detection, and collection cohesion.
Genesis tracks how language models and vision systems perceive products, rank categories, and quietly shape commercial discovery.
Ongoing and dated. Built from primary sources: live shopping conversations, model outputs, and routing evidence.
Together they form a growing map of the systems now mediating product discovery, with a focus on what breaks, what gets privileged, and what brands can actually control.
Benchmarks fashion-intelligence behavior across CLIP, SigLIP, and DINOv2 — uncertainty, impostor detection, and collection cohesion.
Maps how leading language models converge on the same designers, garments, and fashion narratives when taste is inferred from prompts alone.
Follows ChatGPT and Gemini recommendations into the routing layer: official product pages, retailer leaks, and missing purchase paths.
Each article takes one question store owners ask us and answers it with the research — dated, sourced, and kept current as the systems change.
How ChatGPT and Gemini turn a shopper’s sentence into a shelf of product cards, why AI shoppers convert 4–5× higher than organic search, and why 63% of recommendations never reach the brand’s own store.
Beyond raw outputs, the work is about the recommendation systems hidden inside current models: the assumptions they make, the aesthetics they overfit to, and the commercial surfaces they now influence.
Can a model actually distinguish brand, season, and design family from the image itself?
Which objects and creators recur across models when taste is generated from text?
How likely is a brand to be named in AI-mediated shopping?
Does the model know when it does not know, or does it hallucinate authority?
The latest report studies what happens after AI systems name a brand: whether shopper demand reaches an official product page, leaks to a third-party seller, or stalls without a usable buy path.