We scanned 7,446 Finnish online stores — 82% aren't readable by AI
ChatGPT, Perplexity and Google AI recommend products to shoppers every day. We wanted to know how many Finnish online stores are actually readable by AI — so we scanned them. Not a few hundred, but thousands.
How we studied it
From the public HTTP Archive dataset we collected every Finnish (.fi) Shopify and WooCommerce store and ran our AI Readiness test on each. The test reads a store the way AI agents do: it locates the actual product page, checks structured data (schema.org), product-data completeness, content quality and AI-crawler access.
6,980 stores received a grade. Of those, 5,618 had an automatically analyzable product page — the figures below concern those. (Notable in itself: for one in five stores we couldn't find a single machine-readable product page — to AI, such a store is effectively invisible.)
Anyone can run the test on their own store for free, so the results are reproducible.
Results: an average of 57/100 — and only 1.4% earned an A
Grade distribution across 5,618 stores: A 1.4%, B 17%, C 55%, D 27%, F 0.2%. Average score 57 out of 100. In other words, 82% of Finnish online stores are currently not in shape in AI's eyes — which is also an opportunity, because the head start is still up for grabs.
The starkest individual checks:
| Missing | Share of stores |
|---|---|
| Reviews not exposed in structured data | 98% |
| GTIN/EAN product identifier missing | 97% |
| Price and currency missing from machine-readable data | 92% |
| Stock status missing | 92% |
| Brand missing from structured data | 87% |
| Open Graph product tags missing | 76% |
| Product description doesn't answer buyer questions | 75% |
| No schema.org product markup at all | 66% |
Shopify vs. WooCommerce: a twofold gap
Splitting the results by platform, the difference was clear:
| Average | Share at A/B level | schema.org present | |
|---|---|---|---|
| Shopify | 63/100 | 38% | 46% |
| WooCommerce | 55/100 | 12% | 30% |
A Shopify store is roughly three times more likely to be AI-ready than a WooCommerce store. The reason is structural: Shopify themes emit product schema by default, whereas on WooCommerce it often goes undone without extra work. Because there are more WooCommerce stores in Finland, most of the fixable potential sits there.
Why this matters right now
In March 2026 Shopify started feeding stores' product data directly to ChatGPT, Gemini and Copilot. Distribution is already automatic — but AI only picks products into its recommendations whose data it can read and trust. When 92% of stores don't even expose a price machine-readably, AI can't recommend them even if it wanted to.
Buying behavior is already shifting: per Adobe Analytics, visitors arriving from AI search convert 31% more often than other visitors, and per Shopify, AI-driven orders grew 11–15× year over year.
The same phenomenon shows up more broadly: we separately analyzed 3,813 international online stores, and the problem recurred — this isn't just Finland.
What a merchant should do
- Measure the baseline. The free test tells you in 30 seconds what AI sees of your store — and what it doesn't.
- Write product content as facts. This is the most important part, and the part no ready-made plugin does for you. "A quality jacket" tells AI nothing. "Gore-Tex Pro, 320g, waterproof 28,000mm" tells it everything. Materials, dimensions, use cases and answering buyer questions are what decide it.
- Fix the structured data. Price, availability, brand, GTIN and reviews in schema.org form on every product page. This is the technical foundation and it doesn't change how your pages look.
- Ensure crawler access. Check that your store doesn't block AI crawlers.
We do this whole package at a fixed price in 48 hours, with a money-back guarantee. But whether you do it yourself or with a partner, do it soon — AI recommendations are being handed out now, and the queue isn't crowded yet.
Method: scans run in July 2026 with our public AI Readiness test (structured data, product-data completeness, content quality, crawler access; weighted scoring). Sample: every Shopify and WooCommerce store on a .fi domain in the HTTP Archive dataset; 6,980 received a grade, and the per-check shares concern the 5,618 stores for which an automatically analyzable product page was found.
What does your store look like to AI?
Run the same scan on your own store — 30 seconds, no signup, works on every platform.
Scan your store free