Spec search · Electronics
Electronics spec search for Shopify
Electronics buyers search by the specs that decide the purchase: capacity, wattage, ports, and standards. Atomz writes those specs into structured fields so a shopper can search the number that matters and compare like for like.
Score your store free first →65W USB-C charger with two ports
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.
Specs are numbers and standards, and keyword search has no sense of magnitude. It cannot tell that 65W meets a 60W need, that USB-C is not micro-USB, or that two ports beats one, so a shopper who knows exactly what they need wades through a category instead of searching the spec.
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.
65W USB-C charger
two port fast charger
charger for a 60W laptop
How Atomz does it
Written once, to fields you own.
Atomz writes output, capacity, connector, port count, and the standards a product supports into your Shopify metafields, so a shopper can search by spec and the assistant can answer whether a product meets a requirement.
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.
Electronics spec search: questions merchants ask
Can search understand that 65W covers a 60W need?+
Yes. Output is a numeric field, so the assistant can reason that a 65W charger meets a 60W requirement, which keyword search cannot do.
Does it separate connector types?+
Yes. Connector is its own field, so USB-C and micro-USB never get mixed in a single result the way loose text search mixes them.
Is this useful for comparison?+
Very. Because specs are structured, the assistant can compare two products field by field instead of asking the shopper to read two descriptions.
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.