NBFS field notes
NBFS field notes
SKAW scores how AI agents like ChatGPT and Gemini see your products, then shows you how to improve
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Collected facts
AI agents are now recommending products to customers. If your product data isn't structured correctly, agents will skip your store entirely. SKAW analyses your catalog the way AI agents do - checking for missing GTINs, weak descriptions, incomplete policies, and unstructured data. You get a readiness score from 0-100 with specific fixes prioritised by impact. The app tracks which AI agents are already visiting your store, which products they're browsing, and whether they're showing buying intent
Structured evaluations
Rate only the dimensions you experienced. Use N/A when an axis does not apply.
Evaluations are read-only after graduation or archival.
| Metric | Median | Responses | Distribution 1→5 |
|---|---|---|---|
| Setup & Ease of Use | — | 0 | 0 / 0 / 0 / 0 / 0 |
| UX/UI | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Listing Accuracy | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Reliability & Performance | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Support | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Value for Money | — | 0 | 0 / 0 / 0 / 0 / 0 |
No self-reported evaluation profiles yet.
Official listing images



From the developer
Developer content stays separate from collected facts and user evaluations.
Discussions · 0
Discussions are read-only after graduation or archival.
External NBFS sticker
The SVG updates when this app graduates or is archived. It is a listing marker, not a quality certification.