Buyers increasingly ask ChatGPT, Perplexity and Gemini "what's the best…" instead of Googling. So we ran 22 well-known direct-to-consumer brands through an AI-visibility engine — scoring how readable, recommendable, and agent-buyable each store actually is. The results are worse than we expected.
No brand in the set scored above 64/100. The median was 52. The best performers were a tight pack — stores like Tactipup, Moon Juice, and Beauty of Joseon led, but even they left obvious points on the table. AI-visibility is a wide-open field: the bar to lead a category is low, today.
27% of brands we checked scored below at least one of their named competitors on AI-discoverability. In AI answers there is no page two — the store the model names gets the click. Being second is being invisible.
The good news: the median agent-commerce readiness score was 86/100 — most Shopify stores already expose machine-readable price, availability, and a product feed, so an AI shopping agent could technically transact. The gap: 91% had no MCP endpoint — the emerging interface AI agents will use to actually buy. The plumbing is half-built and almost nobody has finished it.
AI-mediated discovery has already happened at scale, but DTC optimization for it hasn't caught up. The brands that fix product schema, publish answer-ready content, and get machine-buyable first will be the ones AI keeps recommending. Right now, in most categories, that position is unclaimed.
We analyzed the public storefronts of 22 leading DTC brands across apparel, beauty, supplements, home, pet, and coffee using Hatchloop's AI-visibility engine — a bill-safe analysis of structured data (Product/Offer schema), product-feed completeness, answer-readiness, multi-market hygiene, and agent-commerce signals (agents.md, products.json, UCP, GTINs, MCP). Scores reflect AI-discoverability signals computed from public data and may change as brands and AI models update. This is a snapshot, not a verdict — run the free check above for your own current score.