Why the Right Questions Matter
An AI assistant is only as useful as the questions you ask. Generic questions get generic answers. Specific, targeted questions surface the insights that actually move deals forward.
Here are 10 questions that top-performing sales reps ask their AI assistant every week — and why each one matters.
1. "How many leads do I have and what are their statuses?"
Why it matters: This is your daily health check. Knowing the distribution across new, contacted, qualified, and converted tells you whether your pipeline is balanced or has bottlenecks. What to look for: If "new" leads are piling up, you need to accelerate outreach. If "contacted" is growing without movement to "qualified," your follow-up approach may need adjustment.2. "Which leads have been contacted but not qualified?"
Why it matters: These are your stuck deals — leads that received outreach but haven't moved forward. They represent the highest-leverage follow-up opportunities because initial contact is already made. What to do next: Review each lead's contact history and notes, then send a targeted follow-up or try a different channel (phone vs. email).3. "Summarize my active workflows"
Why it matters: If you're running multiple prospecting campaigns across cities or industries, this gives you a single-view summary without clicking into each workflow individually. What to look for: Workflows stuck in the same stage for too long, workflows that have consumed disproportionate credits, or workflows with zero activity.4. "How many credits have I used recently?"
Why it matters: Credits are your budget. Knowing where they're going helps you allocate them to your highest-performing workflows and avoid running out at a critical moment. What to do next: If one workflow is burning credits without producing qualified leads, consider pausing it and reallocating the budget.5. "Which leads should I follow up with?"
Why it matters: The AI analyzes timing, status, and contact history to prioritize your follow-up list. This replaces the manual process of scrolling through leads and checking dates. What to look for: Leads that were contacted weeks ago without response — they may need a different approach or should be archived.6. "What types of businesses make up most of my leads?"
Why it matters: Understanding your pipeline composition reveals whether your search queries are targeting the right businesses. If most leads are in an industry you don't serve well, adjust your workflow configuration. What to do next: Compare your lead composition against your ideal customer profile and refine your search queries accordingly.7. "Which workflow has found the most qualified leads?"
Why it matters: Not all workflows perform equally. Identifying your best-performing campaign lets you double down on what works and improve or stop what doesn't. What to look for: High qualified-to-new ratios indicate effective targeting. Low ratios suggest the search query or location needs refinement.8. "Show me leads with the highest estimated close value"
Why it matters: AI-estimated close values help you prioritize your time. A lead worth $50,000 deserves a personalized phone call; a $500 lead might only warrant an email sequence. What to do next: Focus your manual effort on high-value leads and let automation handle the rest.9. "What's my conversion rate from new to qualified?"
Why it matters: This metric tells you how effective your prospecting funnel is. A low conversion rate might indicate poor targeting, while a high rate suggests your ideal customer profile is well-defined. Industry benchmark: Top-performing teams see 40-60% new-to-qualified conversion with AI scoring.10. "How much does each qualified lead cost me in credits?"
Why it matters: This is your true cost per qualified lead — the metric that determines ROI. If you're spending 10 credits per qualified lead at the 1,000-credit pack rate, that's $0.49 per qualified lead. What to look for: Costs above $1 per qualified lead suggest room for optimization — tighter search queries, higher quality thresholds, or workflow adjustments.Building Your Daily Question Routine
Pick 3-5 questions from this list and ask them every morning. At 1 credit per question, a daily 5-question routine costs about 150 credits per month (~$7.50) and replaces 30+ minutes of manual dashboard analysis.
Ready to start? [Sign up for AutoReach](https://www.autoreach.work/register) and try these questions with your 25 free credits.