Feature · GEO score
See your products the way AI does.
A 0 to 100 score for every product, and a preview of what ChatGPT says about it.
GEO is Generative Engine Optimisation: structuring product data so a machine can tell what a product is and who it's for. Pelican scores every product and tells you what to fix first.
- Six weighted pillars
- Four bands, from Poor to AI-ready
- A 30-day history on every product
A score you can act on.
Six pillars
Description and title are 20% each. Category, variants, media and attributes are 15% each.
Four bands
Poor, Needs work, Solid and AI-ready. AI-ready starts at 80.
Recommended actions
Each product lists the fixes behind its score, like "add three images with alt text".
See what ChatGPT sees
An AI assistant describes the product from only the data it can reach. You see its answer and what was missing.
Fix from the gap
Most gaps have a Fix button. Accept the suggestion and the score updates on the spot.
Trends
A daily snapshot builds a 30-day history, shown on the dashboard and on the Shopify product page.
“Product Pelican has made navigating the confusing, overwhelming buzzword-filled world of GEO incredibly simple.”
The daily score history is stored on each product in Shopify. The live score is recalculated every time you open the app.
Questions about the score.
How is the score calculated?
A weighted average of six pillars. Each pillar scores 0, 50, 75 or 100.
What's the fastest way to raise it?
Set categories. An uncategorised product scores zero on the category and attributes pillars, which is 30% of the score.
Is "See what ChatGPT sees" what ChatGPT will actually say?
It's a realistic preview, not a guarantee. The assistant is given only that product's data, and its answer is shown unedited.
What's a good score?
One that's going up. AI-ready starts at 80. I don’t focus too much on what the actual scores are. It’s more about seeing where you’re at and checking that you’re improving over time.
Martin Cox, co-founder
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Good product data is good business.
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