NBFS field notes
NBFS field notes
Maximise catalog visibility for AI agents like ChatGPT. Get targeted recommendations per product.
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Collected facts
AI shopping agents like ChatGPT and Gemini are starting to find and recommend products for shoppers. If your product data isn't structured and clear, agents skip it. Agentic Feed by Passionfruit audits your whole catalog against agentic-commerce standards(ACP and UCP) and scores every product on three stages: Discovery (can an agent find it), Evaluation (will it recommend it), and Transaction (can it complete checkout). For each product you get a prioritized list of the highest-impact fixes.
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 |
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Official listing images



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