FeedmindAI readiness scorecard
example.com · 1-page sample
B-
67/100
Feedmind Score
0
25
50
75
100
YOUR STORE — 67
The Feedmind Score measures how readable your catalog is to an AI assistant.
Dimension scores
Dim 01 · ACCESSIBILITY
Agent accessibility67
Almost nothing renders without JavaScript (17 words) — assistants read the page empty.
Top 1 issues to fix first
01high
Almost nothing renders without JavaScript (17 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.
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 +/−.
example.com · 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 example.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.