FeedmindAI readiness scorecard
feedmind.europe-west1.run.app · 1-page sample
F
33/100
Feedmind Score
0
25
50
75
100
YOUR STORE — 33
The Feedmind Score measures how readable your catalog is to an AI assistant.
Dimension scores
Dim 01 · ACCESSIBILITY
Agent accessibility33
Almost nothing renders without JavaScript (13 words) — assistants read the page empty.
Top 2 issues to fix first
01high
Almost nothing renders without JavaScript (13 words) — assistants read the page empty.
Server-render the product content so it is present in the initial HTML, not injected by client-side JS.
02medium
No lang attribute on <html> — the reading language is undeclared.
Add a lang attribute to <html> for each locale you publish (e.g. lang="nl").
How it’s scored · FM-score methodology v1.1Full methodology →
Weights applied to this scan
Agent accessibility100% (base 25%)
Structured datan/a — not applied
Content answerabilityn/a — not applied
Multi-language parityn/a — not applied
Structured data and Content answerability and Multi-language parity weren't measurable on this shop, so their weight was redistributed across the measured dimensions. Base weights: 25% / 25% / 30% / 20%.
Grade bands
A85 — 100
B65 — 84
C50 — 64
D35 — 49
Fbelow 35
Bands split in thirds for +/−.
feedmind.europe-west1.run.app · scanned 16 AUG 2026 · FM-score methodology v1.1Feedmind Score · How it’s scored →
Scores reflect a 1-product sample · a connected store is scored across the full catalog
++Step 02 · locked
Step 02 · AI simulation
See the buyer questions AI assistants can’t answer about feedmind.europe-west1.run.app
We run six real purchase questions against your product pages and show exactly where the assistant gives up. Your score is already yours — this part takes an email.
One email, one scorecard. No sequence, no reselling.