Crafting Effective Queries

Last updated: 2026-05-18

Crafting Effective Queries

The quality of your Smart Match results depends heavily on how specific you are at the start. These tips will help.

Be Specific About the Use Case

"I need AI for work" tells the system almost nothing. "I need AI to write marketing emails and social posts for a 3-person startup — we use Notion and Slack" gives it real signal.

The more context you include (role, team size, tools you already use, budget), the less the system needs to ask and the more targeted the results.

Always Mention Budget

Budget is one of the strongest signals in the system. Say "free only," "up to $50/month," or "we have an enterprise budget." Without it, you'll get a mix that may not fit your actual constraints.

Mention What You're Already Using

If you use certain tools already, say so. "I use ChatGPT Plus and want to add a coding assistant" helps the system avoid recommending overlap and instead suggest things that complement what you have.

Answer Follow-Ups Honestly

The system may ask 1 to 5 follow-up questions. Answer each one. Skipping them or giving vague answers reduces the quality of the output. If you're genuinely unsure about something, just say so — the system can work with partial context.

Avoid Generic Prompts

The difference isn't just specificity — it's that the second version gives the system something to rank against.

Use Option Chips When Offered

When the system offers clickable option chips (budget ranges, role types, etc.), use them. They're faster than typing and feed cleaner structured data into the ranking process.