Feedmind
How it’s scored →
FeedmindAI readiness scorecard
hang-eleven.com · 13-page sample
B+
79/100
Feedmind Score

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

Dimension scores
Agent accessibility83
Structured data50
Content answerability100
Top 2 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
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 +/−.
hang-eleven.com · 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 hang-eleven.com
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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hang-eleven.com — AI Readiness Score: B+ (79/100) | Feedmind