Attributes search · Beauty & skincare
Skincare search by skin type, concern, and ingredient
Skincare shoppers search the way a dermatologist talks: skin type, concern, active ingredient, and what to avoid. Atomz writes those into structured fields so a shopper finds a product that matches their skin instead of scrolling a category.
Score your store free first →fragrance-free vitamin C serum for oily, acne-prone skin
Before Atomz, an agent reads
A title and a price, with none of the fields this search needs to match.
Result, passed over
After Atomz, an agent reads
Result, your product is the answer
Every word in the question maps to a structured attribute, so the right product is the answer.
The problem
Why keyword search misses this.
Skin type, concern, and actives live in marketing prose and routine guides, not in fields. Keyword search cannot tell that a serum suits oily skin, targets dark spots, and is fragrance-free unless those exact words sit in the title, so a well-matched product stays buried and the shopper leaves to ask an assistant that does understand the question.
What goes in, what matches
The fields that answer the search.
The left column is what a shopper types. The right is the structured field Atomz writes to your metafields, the thing search and an agent match on.
serum for oily acne-prone skin
vitamin C for dark spots
fragrance-free
How Atomz does it
Written once, to fields you own.
Atomz reads each product and writes skin type, concern, active ingredient and its strength, and free-from claims into your Shopify metafields, so search and the assistant answer a layered skincare question with the products that fit.
Everything lives in your Shopify metafields, so the same data powers your on-store search, your AI Assistant, and the off-site agents that read Shopify Catalog.
Skincare by skin type: questions merchants ask
Can shoppers search by active ingredient and strength?+
Yes. The active and its percentage are written as fields, so a shopper can ask for vitamin C at a given strength rather than reading it out of a description.
Does it handle sensitive-skin avoidances?+
Yes. Free-from claims like fragrance-free and alcohol-free are their own fields, so a shopper with reactive skin can rule those out in the same search.
How does this help the on-store assistant?+
The same fields ground the assistant, so it can answer a full routine question with real products and never recommend one you do not sell.
Get started
See what an agent reads when it hits your store.
Drop your store URL for a free readability score, or add the app and Atomz starts making the catalog readable today.