Can it be read?
Is there a real, substantial description — and clear answers to the questions buyers actually ask — written in a format AI engines parse cleanly? Thin or empty product copy is invisible to AI search.
GEO score guide
Your GEO score measures how ready each of your products is to be the one an AI answer names.
Your GEO score is a 0–100 measure of how likely your product is to be one of the few an AI answer recommends.
AI engines don’t pick products because the writing is pretty. They pick products they can understand and trust — pages where the details are clear, specific, and tied to real facts the engine can repeat with confidence. Your GEO score rewards exactly that. It comes down to three things:
Is there a real, substantial description — and clear answers to the questions buyers actually ask — written in a format AI engines parse cleanly? Thin or empty product copy is invisible to AI search.
Does the copy name real, specific facts about the product — the brand, the type, the material, the use case — rather than vague filler? Specifics are what an engine can confidently cite. This is the biggest part of your score.
Search-engine title and summary present and well-sized, every image described, and your brand’s voice intact. The finishing details that signal a page is properly maintained.
See the score on your own products before deciding anything.
Start free — 3 credits, no card neededIf you remember one thing, remember this. An AI engine recommending a product is putting its credibility on the line — so it strongly favours products described with concrete, verifiable detail over ones described in generic language. Glimpot’s writing is built to do that, but it can only work with the details your store actually provides.
✕ Vague
“A great board for any rider looking for quality and performance.”
Nothing here an AI can tie to a fact. No brand, no type, no material, no use case. The engine has nothing specific to repeat — so it stays quiet.
✓ Specific
“The Ridgeline Drift is an all-mountain snowboard with a poplar core, built for intermediate riders on groomed runs.”
Brand, type, material, skill level, terrain — all concrete facts an engine can confidently cite when a shopper asks for exactly this.
Glimpot automatically writes in the specific style — but the factsit weaves in have to exist in your product data first. That’s the one place your input changes everything.
Optimising a product rewrites all five fields — description, page title, meta description, image alt text and a buyer-question Q&A — to be as readable and citable as possible. The full list of what changes on your page is on the home page.
Sometimes a product scores lower than you’d expect even after optimising. Almost always, the reason is the same: there wasn’t enough product detail to work with. Glimpot can write beautifully, but it can’t invent facts your store hasn’t recorded. If a product has no brand, no type, and no tags, there’s nothing specific for an AI engine to latch onto — and the score honestly reflects that.
Add more detail to the product in Shopify, then re-optimise. Every field you fill in gives Glimpot — and the AI engines — another real fact to work with:
This is usually the difference between a product that sits in the middle of the range and one that lands near the top.
Illustrative example — not a real result
24
Before — raw product
88
After — optimised & detailed
Most products start low— often in the teens or twenties — because raw Shopify content lacks the structure and specifics AI search needs. That’s normal, and it’s the point: it’s the before. A well-optimised product with good detail typically lands in the 70s–90s. The jump between the two is the work Glimpot does — and the score makes that improvement visible, product by product.
AI search recommends products it can read, trust, and cite. Glimpot rewrites every product to be all three — and your score climbs highest when your product data gives it real, specific facts to work with. Optimise to do the writing; enrich your product details to win the citation.
Connect your store, set your brand voice, and see the before and after on real products from your own catalogue. Decide after that.
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