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Google Shopping fields

Fill the Google Shopping fields your product feed needs — category, condition, gender, age group and custom labels.

If you advertise on Google, your feed is only as good as the product data behind it. Product Pelican can fill the Google Shopping field set on your products: the Google product category plus the attributes Google uses to match, filter and group your products.

Where the values are written

Everything is saved on the product, in the mm-google-shopping field set — the same place feed tools read from, so no extra mapping is needed on your side.

Field
Value

google_product_category

The matching Google category, as its numeric Google ID

condition

new · refurbished · used

gender

male · female · unisex

age_group

newborn · infant · toddler · kids · adult

custom_product

true when the product has no barcode or manufacturer part number — handmade, made-to-order or own-brand items

custom_label_0custom_label_4

Whatever you want to group products by in your campaigns

The first time a value is written, Product Pelican also creates the field's definition in your store, so you can see and edit it on the product page in Shopify admin. If a definition already exists, yours is left exactly as it is.

The Google product category

This one is not guessed. Shopify's product taxonomy already carries a matching Google category for every category it knows about, so Product Pelican simply looks it up. Set the Shopify category correctly and the Google category follows for free — no second AI decision, and no chance of the two disagreeing.

Turn it on: AI Prompts → Category → tick Google Product Category.

Once it is on:

  • Accepting a category suggestion in the No Category check also sets the Google product category.

  • Products that already have a category pick theirs up in the Descriptions check, so you don't have to re-categorise your catalogue to fill the feed field.

The suggestion list shows the Google category underneath each candidate, so you can see what will be written before you accept it.

📸 Screenshot needed — a category suggestion showing the matched Google category beneath it.

"Approximate" next to a Google category means your Shopify category is newer than the mapping and the nearest parent category was used instead. It is still a valid Google category — usually one level broader than the Shopify one.

The other fields

Condition, gender, age group, custom product and the five custom labels are filled by the AI, alongside your product descriptions.

Turn them on: AI Prompts → MetafieldsGoogle Merchant Center → tick the fields you want, and edit the instructions for each.

Then generate descriptions as usual. Each Google field appears as its own row in the results with its own accept checkbox, so you can take the ones you agree with and drop the rest. Fields with a fixed set of values are shown as a dropdown — the AI cannot invent a value Google would reject, and an answer outside the list is dropped rather than written.

Choosing which to enable

  • Condition is safe for almost any catalogue — nearly everything is new.

  • Gender and age group are meant for apparel and accessories. Leave them off for homeware, tools or food, where they are meaningless and Google does not want them.

  • Custom product is worth enabling if you sell handmade, made-to-order or own-brand goods without barcodes.

  • Custom labels are yours to define. Replace the default instructions with what you actually want to segment on — season, margin band, bestseller status — otherwise the AI has nothing to aim at.

What this does and doesn't do

Product Pelican writes the product data. It does not build, submit or manage a feed — your feed app or Google channel picks these values up from the products the next time it syncs. If your feed tool reads its own custom fields instead of the standard Google Shopping set, point it at these ones.

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