What to Ask Revenue AI About Any Sales Conversation
Ask Revenue AI lets you ask natural language questions about any sales conversation, deal, or set of calls and get instant answers drawn from your team’s actual recorded conversations inside Salesforce. Instead of listening to full recordings, scanning transcripts, or asking reps what happened, you ask a question and get the answer in seconds with specific call references and timestamps.
Most teams that have Ask Revenue AI use about 10% of what it can do. They ask “summarize this call” and stop there. The real power is in the questions you did not think to ask: patterns across dozens of calls, competitive intelligence aggregated from months of conversations, coaching insights that would take hours of manual review to surface, and deal-specific intelligence that changes how you prepare for the next meeting.
This guide covers the most valuable questions to ask Revenue AI, organized by the outcome you are trying to achieve. Every question below is one you can type exactly as written and get an actionable answer.
For Deal Preparation
The most immediate use case. You have a meeting in 30 minutes and need to know what has happened on this deal without reading through weeks of CRM notes and call logs.
“Summarize every conversation we have had with in the last 60 days.”
Returns a chronological summary of all recorded calls and meetings with that account, including who participated, key topics discussed, commitments made, and open questions. You walk into the meeting knowing exactly where the deal stands without relying on the rep’s memory or CRM notes that may be incomplete.
“What objections has raised across all calls?”
Returns every objection the prospect has surfaced across every conversation, not just the ones the rep remembered to log. You see the pattern: the prospect has mentioned budget concerns three times, referenced a competitor twice, and questioned implementation timeline once. That pattern tells you which objection is the real barrier versus which ones were passing concerns.
“What did say about their decision process?”
Returns the specific statements the prospect made about how they evaluate and approve purchases. You learn that the VP of Finance must approve anything over $50K, that the security team has a 3-week review, and that the prospect mentioned a board meeting in September where budget decisions are finalized. All from what the prospect actually said on calls, not from what the rep inferred and entered in a CRM field.
“Has the economic buyer been mentioned on any call for the opportunity?”
Returns whether the economic buyer has been named, by whom, and in what context. If the economic buyer has never been mentioned across five calls, that is a mid-pipeline risk signal that tells you the deal may not have the executive sponsorship it needs to close.
For Coaching
Coaching from conversation data is most effective when the manager can find the right moment quickly rather than listening to full recordings. These questions surface the coaching opportunities that matter most.
“Show me the calls where scored below 50% on decision process this month.”
Returns the specific calls where the rep underperformed on a single methodology criterion, with links to the recordings and the relevant segments. Instead of coaching vaguely (“improve your discovery”), you coach from a specific moment: “On Tuesday’s call with Acme, you asked about the timeline at 6 minutes but never followed up when they hesitated. Listen to the segment starting at 6:12.”
“What does do differently on discovery calls compared to ?”
Returns a comparison of conversation patterns between two reps across their recent discovery calls: talk ratio, question frequency, topics covered, methodology scores, and the specific behaviors that differentiate them. This is the question that turns top performer instincts into coachable, transferable techniques. You see that Sarah asks 40% more implication questions, spends 3 minutes longer on pain exploration, and consistently asks “what happens if you do nothing?” which Alex never asks. That gap becomes this week’s coaching focus.
“Which methodology criteria does miss most often across all calls this quarter?”
Returns a ranked list of the methodology criteria the rep scores lowest on across their full call history, not just one call. You see that this rep consistently scores well on pain identification and metrics but consistently misses champion development and decision process. That pattern tells you exactly what to coach for the next month rather than picking a different criterion every week.
“Show me the best example of a strong negotiation call from the last 90 days.”
Returns the highest-scored negotiation call in your team’s recent history with a link to the recording. Use it as a coaching example, a training resource for new hires, or a model for what “good” looks like on a negotiation call in your specific selling environment.
For Pipeline Review
Pipeline reviews are most effective when the manager arrives with deal intelligence rather than asking reps to narrate. These questions provide the intelligence before the meeting starts.
“Which deals in my pipeline have had no customer contact in the last 10 days?”
Returns a list of open opportunities where no recorded conversation or meaningful activity has occurred in the specified window. These are the deals going dark. They should be the first ones discussed in the weekly pipeline review because silence is the strongest signal that a deal is at risk.
“Which deals have coaching scores declining over the last 3 calls?”
Returns opportunities where the rep’s methodology execution is getting worse, not better, as the deal progresses. A declining score pattern is the leading indicator of a deal stall. The rep felt comfortable and stopped executing the methodology rigorously. Catching this pattern 2 to 3 weeks before the deal visibly stalls gives the manager time to intervene.
“On the opportunity, how many unique stakeholders have we spoken with?”
Returns the count and names of every person from the prospect’s organization who has participated in a recorded conversation on this deal. If the answer is one, the deal is single-threaded and at risk regardless of what stage it is in. Multi-threading is the strongest predictor of deal success in complex B2B sales, and this question reveals it in seconds.
“What did the prospect on say about budget on their most recent call?”
Returns the specific statements the prospect made about budget, drawn from the transcript. Not the rep’s CRM note about budget. Not what the rep told you in the pipeline review. What the prospect actually said. The difference between “they said budget is approved” and “they said they need to check with finance next quarter” is the difference between a deal that closes this month and a deal that slips.
For Competitive Intelligence
Your team has hundreds of conversations per month. Buried in those conversations is competitive intelligence that no external tool can provide because it comes directly from your prospects telling your reps what competitors are doing.
“Which competitors have been mentioned across all calls this quarter?”
Returns a ranked list of every competitor named in recorded conversations, with frequency counts and links to the specific calls. You see that Gong was mentioned 47 times, Salesloft 23 times, and Clari 18 times. That frequency tells you which competitors you are actually facing in deals versus which ones you assumed you were competing against.
“What are prospects saying about when they mention them?”
Returns the specific context around competitor mentions across all calls. You learn that prospects consistently describe the competitor as “cheaper but harder to implement” or “great analytics but reps find it confusing” or “our IT team prefers them because of the existing integration.” These are the real competitive objections from the field, not the ones your marketing team hypothesized. Use them to update battlecards, refine positioning, and prepare real-time competitive prompts for when the competitor comes up on future calls.
“Show me calls where a prospect chose us over and explain why.”
Returns the conversations where a prospect explicitly stated why they selected your solution over the competitor. These win reasons, spoken by actual buyers, are more credible than any internal positioning document. Use them in proposals, case studies, and competitive training.
For Forecasting and Revenue Leadership
Revenue leaders need deal intelligence at scale without listening to calls. These questions provide the signal that forecasts should be built on.
“Which deals closing this quarter have the weakest coaching scores?”
Returns the deals in the current quarter’s commit or forecast category where methodology execution is lowest. These are the deals most likely to slip because the rep is not executing the qualification rigor needed to close. Flag them for deep review before including them in the forecast.
“Across all deals we lost last quarter, what were the most common reasons prospects gave?”
Returns the themes from closed-lost conversations: pricing, timing, competitor selection, internal priority changes, or feature gaps. This is loss reason analysis drawn from what prospects actually said rather than from the picklist value the rep selected in the CRM. The real reasons are almost always more nuanced and more actionable than “price” or “timing.”
“What is the average coaching score on deals we won versus deals we lost this quarter?”
Returns the correlation between methodology execution and deal outcomes. If won deals average 72% coaching scores and lost deals average 48%, you have quantitative proof that methodology adherence drives revenue. Present this data to the team and to leadership. It is the strongest argument for continued coaching investment because it connects the coaching input to the revenue output with your own data.
For New Hires
New reps can use Ask Revenue AI to learn from the team’s conversation history rather than starting from zero.
“Show me the 5 highest-scored discovery calls from the last 90 days.”
Returns a playlist of the best discovery calls your team has produced recently. A new hire who listens to these five calls before their first week of dialing has heard what excellence sounds like in your specific selling environment, with your product, against your competitors, talking to your buyer personas. That is better preparation than any training deck.
“What are the most common objections our team faces and how do the best reps handle them?”
Returns the top objections aggregated across all team conversations with examples of how high-scoring reps responded. The new hire gets an objection handling guide built from real calls rather than a hypothetical objection list from a training manual. For teams focused on accelerating new hire ramp, this single question replaces hours of manual call review and study.
Tips for Getting Better Answers
Be specific about the time window. “This quarter” and “last 90 days” and “since January” all produce different result sets. Narrow the window to get relevant, recent answers rather than historical noise.
Name the rep, the account, or the deal. “Show me calls where coaching scores declined” is useful. “Show me calls where Sarah’s coaching scores declined on the Acme deal” is actionable. The more specific the question, the more specific the answer.
Ask follow-up questions. If the first answer surfaces something interesting (“the prospect mentioned a competitor on the last call”), ask a follow-up (“what specifically did they say about that competitor and how did the rep respond?”). Ask Revenue AI maintains context within a conversation, so follow-ups build on previous answers.
Ask about patterns, not just events. “What happened on Tuesday’s call?” is a summary request. “What patterns do you see across all calls with this account?” is an insight request. The pattern questions surface things you would never find by reviewing individual calls because they require analyzing dozens of conversations simultaneously.
Frequently Asked Questions
What data does Ask Revenue AI draw from?
Ask Revenue AI analyzes recorded and transcribed conversations from your team’s calls, meetings, and in-person recordings captured through Revenue.io. It also reads Salesforce data (opportunity stage, contact roles, activity history) to provide deal context alongside conversation content. All data is native to your Salesforce instance and respects your existing permissions and sharing rules.
Can I ask questions across multiple reps or the whole team?
Yes. You can ask questions scoped to a single rep (“show me Sarah’s lowest-scored calls”), a team (“which criteria does the West team miss most often”), or the entire organization (“what competitors were mentioned most this quarter”). The scope depends on how you frame the question and your Salesforce permissions.
How is this different from reading call transcripts?
Reading a transcript tells you what happened on one call. Asking Revenue AI a question tells you what happened across dozens or hundreds of calls in seconds. The value is in pattern recognition and aggregation that would take hours of manual review to produce. A single question like “what objections come up most across all Stage 3 calls” analyzes every Stage 3 conversation your team has had and returns the answer in seconds.
Does this replace the manager coaching conversation?
No. It makes the coaching conversation dramatically more efficient. Instead of the manager spending 30 minutes finding the coaching moment (listening to recordings, scanning transcripts), they ask Revenue AI “show me the calls where this rep scored lowest on economic buyer” and get the answer in seconds. The time saved on finding the moment is redirected to the coaching conversation itself.
Conclusion
Ask Revenue AI turns your team’s recorded conversations from a passive archive into an active intelligence system. Every call your team has ever recorded becomes queryable, searchable, and analyzable through natural language questions. Deal prep that took 20 minutes of CRM review takes 30 seconds. Coaching that required listening to full recordings starts with a single question that surfaces the exact moment to discuss. Competitive intelligence that was locked in individual call recordings becomes aggregated and actionable across the entire conversation history.
The questions in this guide are starting points. The real value emerges when you start asking the questions specific to your deals, your reps, your competitors, and your methodology. Every answer is drawn from what your prospects and customers actually said to your team, which makes it the most credible, specific, and actionable sales intelligence available.