Feedmind
How it’s scored →
FeedmindAI readiness scorecard
wijnbox.nl · 13-page sample
B
72/100
Feedmind Score

The Feedmind Score measures how readable your catalog is to an AI assistant.

Dimension scores
Agent accessibility99
Structured data50
Content answerability67
Top 3 issues to fix first
01
No GTIN (global product identifier) found on the page.
Map GTIN/EAN from your PIM into the Product markup so assistants can match your item to known products.
high
02
Title runs 105 characters and risks truncation in listings and snippets.
Keep the load-bearing words within the first 70 characters.
medium
03
2 H1 elements — the page subject is ambiguous.
Use exactly one H1 that names the page, then h2/h3 for sections in order.
low
How it’s scored · FM-score methodology v1.0Full methodology →
Dimension weights
Agent accessibility25%
Structured data25%
Content answerability30%
Multi-language parity20%
Grade bands
A85 — 100
B65 — 84
C50 — 64
D35 — 49
Fbelow 35
Bands split in thirds for +/−.
Connect your Shopify store — full-catalog scan + fixesOr book 15 min →
wijnbox.nl · scanned 01 AUG 2026 · FM-score methodology v1.0Feedmind Score · How it’s scored →
Scores reflect a 13-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 wijnbox.nl
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.
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