Prompts that work well
The chat is most useful when you write messages that clearly signal what you want. This page collects patterns we’ve seen produce good results.
For triggering a clean search
Pattern: “Find/show me [product] [constraints]”
Claude reliably extracts as a search.
Examples:
- “Show me bamboo socks under $20 with low competition in the UK.”
- “Find FBA products in the home-fitness category around $30–$60 with at least 30% margin.”
- “Show me yoga accessories that are trending up over the last 12 months.”
Pattern: “Products in [category] for [criteria]”
Same effect.
Examples:
- “Products in beauty under $25 for sellers wanting low margin requirements but high volume.”
- “Tools in home-improvement that aren’t already saturated.”
Pattern: “Find [adjective] [products] [marketplace]”
Adjectives like “trending”, “high-margin”, “low-competition” are interpreted as filter or weight signals.
Examples:
- “Trending pet-care products in the US.”
- “High-margin gift items in DE.”
For asking conversational questions (no search)
Pattern: “How does [feature] work?”
Examples:
- “How does the demand sub-score work when SFR isn’t available?”
- “Why did this product score 72?”
- “What’s the difference between trend and seasonality sub-scores?”
Pattern: “Explain [concept]”
Examples:
- “Explain why a low data-quality score affects how I should read the SellerScore.”
- “Explain when I should bump the margin weight up.”
Pattern: “What’s a good [strategy] for [scenario]?”
Examples:
- “What’s a good weights configuration for a new seller without brand registration?”
- “What’s a good way to filter for products that ship cheaply via FBA?”
For refining a previous search
Pattern: comparative refinement
Examples:
- “Tighten the previous search to 25%+ margin.”
- “Same search but in DE instead of UK.”
- “Now exclude products with fewer than 100 reviews.”
Claude understands “previous search” / “the search above” as a reference and either re-runs (1 credit) or filters in place (free, when possible).
Pattern: deep-dive on one result
Examples:
- “Tell me more about product 3.”
- “Why is product 1 scoring higher than product 2 even though product 2 has better margin?”
- “Are any of these likely to be Amazon Basics competitors?”
These run as conversational analysis (free).
Patterns that don’t work as well
Multi-part messages
“Show me bamboo socks AND tell me about the demand sub-score AND explain how exports work.” Claude has to pick one tool; multi-question messages confuse intent extraction.
Fix: ask one thing at a time.
Vague messages
“Find good products.” Without specificity, Claude either picks no_search_intent and asks a follow-up, or extracts overly-broad params.
Fix: include a category, a marketplace, or at least a price band.
Asking for actions outside Hilal
“Email this to my supplier.” Claude can’t do that. The chat is research-only.
Fix: export to PDF/CSV (Exports) and email yourself.
Tips for ongoing conversations
- Keep context short. Long chats consume more tokens per turn (the context grows). Start a fresh session when the topic shifts.
- Star or rename important sessions. The auto-title is good but renaming to “Q4 launch research” makes it findable later.
- Use chat for synthesis, guided for precision. When you need to nail down exact parameters for a repeated workflow, switch to guided.