Changelog
New updates and improvements
Google Shopping fields
Product Pelican can now fill the Google Shopping field set on your products — the data your Google feed is built from. Category, condition, gender, age group, custom product and five custom labels, written where every feed tool already looks for them.
Find it on AI Prompts → Category (for the Google product category) and AI Prompts → Metafields → Google Merchant Center (for everything else).
📸 Screenshot needed — the Google Merchant Center section on AI Prompts → Metafields with a few fields ticked.
The Google product category is looked up, not guessed
Shopify's product taxonomy already carries a matching Google category for every category it knows. So Product Pelican doesn't ask the AI twice — it sets the Shopify category, then reads the Google one straight off the mapping.
Switch it on and accepting a category suggestion sets both. The suggestion list shows the Google category underneath each candidate, so you see what will be written before you accept it. Products that already have a category pick theirs up in the Descriptions check, so there is no need to re-categorise a catalogue that is already done.
The rest fills alongside your descriptions
Condition
new · refurbished · used
Gender
male · female · unisex
Age group
newborn · infant · toddler · kids · adult
Custom product
true for handmade, made-to-order or own-brand items without a barcode
Custom label 0–4
Whatever you segment your campaigns by
Each one gets its own row and its own accept checkbox in the results, and the fields with a fixed vocabulary are shown as a dropdown — the AI cannot invent a value Google would reject.
Nothing is written until you turn it on. Every Google field is off by default. Gender and age group in particular are meant for apparel — leave them off for homeware, tools or food.
Image analysis
Product Pelican can now look at your product photos. Turn image analysis on and your photos are shown to the AI alongside the product data, so what it writes is based on the product as it actually appears — not just its title, type and tags.
Available to all stores, on every plan. Find it on AI Prompts → Description, under Image analysis.
Image analysis
What it improves
Once it is on, photos feed three things:
Product descriptions — colour, material, cut, pattern, styling details and what is actually in the shot.
Generated metafields — the fields generated alongside the description are grounded in the same photos, so attributes like colour or material stop being guesses.
Image alt text — alt text is written from the image being described rather than from filename clues, which is what makes it genuinely useful for accessibility and SEO.
Choose how many photos to check
Set Images checked per product to anywhere from 1 to 5. More photos give the AI a fuller view — useful for products where a second or third shot shows the back, the fabric, or the scale — at the cost of more of your monthly allowance.
Alt text always uses the single image it is writing for.
Your monthly allowance
Each analysed photo counts once against a monthly limit that depends on your plan.
Free
10
Standard
1,000
Pro
3,000
Max
6,000
The allowance resets on the 1st of every month.
Image analysis is off until you turn it on. No photo is analysed, and nothing counts against your allowance, until you tick Use product images in AI generation yourself.