Introduction
I've rarely lost a deal because I knew too much about my prospect.
The opposite?
Every single day.
How many meetings still start with questions like:
- "Who approves the budget?"
- "What's the urgency behind this project?"
- "What challenges are you facing today?"
These aren't bad questions.
But they become ineffective when asked without context.
The result:
- Lower credibility
- Shallow discovery
- Less time to challenge the prospect
- Lower perceived value
The good news? Most of the information you need is now available within minutes thanks to AI.
The challenge is no longer access to information.
It's what you do with it.
In a nutshell
Before every meeting, top Account Executives systematically research:
- The company's real size
- Its exact business activity
- Its decision-making structure
- The full interaction history
- The latest relevant news
These insights completely transform discovery conversations.
Why discovery calls are still generic
Generative AI should have transformed sales meetings.
Yet in many organizations:
- Questions remain generic
- Discoveries stay superficial
- Prospects learn nothing
Why?
Because gathering information isn't enough.
You need to turn it into better questions.
1. Understand the company's real size
The first insight to collect is the company's actual size.
Why it matters
Company size directly impacts:
- Available budget
- Internal processes
- Project complexity
- Relevant customer references
How to find it
Use the company website, Google, Gen AI, or the company's LinkedIn page.
If the exact number is unavailable, LinkedIn employee counts often provide a reliable estimate.
How it improves discovery
Instead of asking: "How is your team organized?"
You can ask: "I noticed your company recently surpassed 500 employees. How are you maintaining process consistency across teams as you scale?"
2. Understand exactly what the company does
The second step: understand what the company actually sells.
What to analyze
- Product or service
- Business model
- Customer profile
- Target market
Why this matters
Because likely pain points become much easier to anticipate — and your questions become significantly more relevant.
Example
Instead of asking: "What are your biggest challenges?"
You can ask: "I noticed your business relies heavily on recurring contracts. How much impact does churn currently have on your growth targets?"
3. Identify the real decision-making structure
One of the biggest mistakes in sales: assuming the decision-maker is in the room.
What to investigate
- Parent company
- Holding structure
- Shareholders
- Subsidiaries
- Budget approval processes
Why it changes everything
You understand where decisions are actually made, who controls the budget, and what approvals will be required.
Impact on forecasting
Reps who understand account governance forecast far more accurately.
4. Review the complete account history
This is probably the most underutilized source of insight — yet it's often already available.
Where to look
- The CRM
- SDR notes
- Previous meetings
- Call recordings
What you should extract
- Interaction timeline
- MEDDIC information
- Previous objections
- Shared documents
Why it's so powerful
The prospect immediately realizes you've done your homework — and you avoid asking questions they've already answered three times.
Tools that help
Solutions like Modjo, HubSpot Breeze, and Claude connected to your CRM can quickly summarize account history.
5. Analyze the latest news
Final step: understand the prospect's current context.
Why news matters
It helps uncover project triggers, budget constraints, urgency, and relevant ice breakers.
The three most useful categories
- Ice breaker news
- Financial news
- Product-related news
The real tip
Don't stop at media coverage. Also analyze company blogs, company LinkedIn posts, and the prospect's own LinkedIn posts.
That's often where the best insights are hidden.
The challenge is no longer access to information
Today, Google exists. LinkedIn exists. ChatGPT exists. Claude exists.
Information is everywhere.
What separates top performers is their ability to turn information into intelligent questions.
Toward AI-powered discovery preparation
That's exactly why we built SailZ.
What SailZ delivers before every meeting:
- Company summary
- Prospect summary
- CRM history
- Categorized news
- Detected tools
- Best-fit customer references
All on a single interactive screen.
FAQ
Why are generic discovery questions a problem?
Because they signal poor preparation and limit the quality of the conversation.
Which insight creates the most value?
CRM history is often the most overlooked and highest-impact source.
Does AI replace preparation?
No. AI accelerates research, but sales reps must still turn insights into meaningful conversations.
Conclusion
The difference between an average discovery call and a great one is rarely talent.
It's preparation.
Top Account Executives don't ask more questions.
They ask better questions.