Follow the sequence
Steps
- 1
Define the category, target market, price band, and exclusions
- 2
Collect dated catalog evidence from an approved set of offline brands
- 3
Tag observable product attributes with source links
- 4
Sample Amazon listings using a documented query and record saturation signals
- 5
Rank candidates by the declared comparison method and send uncertain cases to review
Output contract
What you should get
- A source-linked product shortlist with gap flags, scoring assumptions, and review notes
Copy and adapt
Prompt
Run a bounded cross-border product-research Agent.
Scope: {{category}}, {{market}}, {{price_band}}, {{excluded_products}}.
Sources: {{approved_offline_brand_catalogs}} and {{documented_amazon_queries}}.
Collect dated evidence, tag comparable attributes, record Amazon saturation signals, and rank candidates using this declared rule: {{scoring_rule}}. Separate observed facts from estimates and missing data.
Return a source-linked table, scoring rationale, caveats, and the five candidates a human should validate next. Do not claim demand, compliance, or profitability without evidence.Human review boundaryChecked-in recipe sample. Verify facts, permissions, data boundaries, tool access, and every consequential output before operational use.