🦞 4minAI.com
1 / 14
Day 3 of 20 Β· AI for Sales

Prospect Research in Seconds

This is the lesson that changes how you sell. By the end of it, you'll be able to build a complete pre-call briefing on any prospect in under 2 minutes β€” the kind of briefing that used to take 30 minutes of Googling, LinkedIn stalking, and CRM digging.

Every cold call you make, every email you send, every discovery meeting you walk into will be better because of what you learn today. This is the foundation of the entire AI-powered sales system.

Let's go.

Flowchart showing company name input flowing through Perplexity AI to output a complete pre-call briefing with funding, headcount, news, tech stack, competitors, and decision-makers
Feed a company name into Perplexity. Get a complete pre-call briefing in under 2 minutes.

The old way vs. the AI way

The old way (25-40 minutes per prospect):

1. Google the company name. Open their website. Skim the About page. (5 min)

2. Search for recent news. Open 3-4 articles. Read and take notes. (8 min)

3. Go to LinkedIn. Search for the company. Browse employee profiles. Try to figure out the org chart. (10 min)

4. Check Crunchbase for funding info. (3 min)

5. Look up their tech stack on BuiltWith or similar. (5 min)

6. Try to piece it all together into something useful. (5 min)

The AI way (90 seconds):

1. Open Perplexity. Paste one prompt. Hit enter.

2. Read the briefing. Verify one or two key facts.

3. Done.

That's not a slight improvement. That's a 15x speed increase β€” and the AI briefing is often more thorough than what you'd compile manually because it searches dozens of sources simultaneously.

Knowledge Check
How much faster is AI-powered prospect research compared to manual research?
A
About the same speed, but higher quality
B
About 5x faster
C
About 2x faster
D
About 15x faster β€” what takes 30 minutes manually can be done in 2 minutes
Manual prospect research typically takes 25-40 minutes per account. Using Perplexity with the right prompt, you can get a comprehensive briefing in under 2 minutes β€” roughly 15 times faster, with comparable or better depth.

The master research prompt

Here's the prompt that does it all. Copy this and save it somewhere you can access quickly β€” you'll use it every single day:

```

Research [COMPANY NAME] and give me a sales intelligence briefing:

1. COMPANY OVERVIEW: What they do, founding year, headquarters, company size/headcount

2. FUNDING & FINANCIALS: Funding rounds, total raised, revenue estimates, investors

3. RECENT NEWS: Last 6 months of significant news β€” product launches, partnerships, expansions, leadership changes

4. TECHNOLOGY STACK: What tools and platforms they use (marketing, sales, engineering)

5. COMPETITORS: Top 3-5 competitors and how this company differentiates

6. KEY DECISION-MAKERS: C-suite and VP-level leaders with their titles and backgrounds

7. POTENTIAL PAIN POINTS: Based on their industry, size, and recent activity, what challenges are they likely facing?

8. TRIGGER EVENTS: Any recent events that create urgency β€” new funding, rapid hiring, leadership changes, competitive threats

Format as a concise briefing I can review in 2 minutes before a call.

```

Paste this into Perplexity, replace `[COMPANY NAME]` with your target account, and watch it work.

What you'll get back

When you run this prompt against a real company, Perplexity will return something like this:

Company Overview: Acme Corp is a B2B SaaS company founded in 2019, headquartered in Austin, TX. ~350 employees. They provide supply chain visibility software for mid-market manufacturers.

Funding: Series C ($85M) closed March 2025, led by Sequoia. Total raised: $142M. Estimated ARR: $40-50M.

Recent News: Launched AI-powered demand forecasting module (Jan 2025). Expanded to EMEA with London office (Nov 2024). Former Salesforce VP of Engineering hired as CTO (Oct 2024).

Tech Stack: Salesforce CRM, HubSpot Marketing, AWS infrastructure, Snowflake data warehouse, Slack, Notion.

Competitors: Kinaxis, o9 Solutions, Blue Yonder. Differentiates on mid-market focus and ease of implementation.

Decision-Makers: CEO Jane Smith (ex-McKinsey), CTO Robert Chen (ex-Salesforce), VP Sales Maria Garcia (ex-Oracle), CFO David Park.

Pain Points: Scaling sales team post-Series C, likely evaluating new sales tools. Managing rapid international expansion. Integrating AI capabilities across product.

Trigger Events: Fresh Series C funding creates budget for new tools. New CTO likely evaluating tech stack. EMEA expansion requires new processes and infrastructure.

Every single data point there is something you can use in a cold email, a call opener, or a discovery question. You now know more about this company than 95% of reps who are going to pitch them this month.

Knowledge Check
Which AI tool is best for the prospect research prompt?
A
Any tool works equally well for prospect research
B
Claude β€” it's the best at research and analysis
C
Perplexity β€” it searches the web in real time and cites sources
D
ChatGPT β€” it's the best all-around tool
Perplexity is the best choice for prospect research because it searches the web in real time and provides cited sources. You need current, verifiable information about companies β€” recent funding, leadership changes, product launches β€” and Perplexity delivers that with source links you can check.

Prompt variations for different situations

The master prompt works for initial research, but here are variations for specific scenarios:

Before a first call:

```

I'm calling [PERSON NAME], [TITLE] at [COMPANY]. Research them personally β€” their career history, recent LinkedIn activity, any published articles or speaking engagements, and mutual connections or shared interests I could reference. Also give me 3 personalized conversation starters.

```

Before a discovery meeting:

```

I have a discovery meeting with [COMPANY]. They use [COMPETITOR PRODUCT] and are evaluating alternatives. Research their likely pain points with [COMPETITOR], what they'd want in a replacement, and give me 5 discovery questions that uncover real needs without sounding scripted.

```

For competitive intelligence:

```

Compare [MY COMPANY] vs [COMPETITOR] from a buyer's perspective. What are the honest strengths and weaknesses of each? What objections will a prospect raise about my product vs theirs? Give me responses to the top 5 objections.

```

For trigger event monitoring:

```

What significant events have happened at [COMPANY] in the last 90 days? I'm looking for funding rounds, executive hires, product launches, partnerships, office expansions, layoffs, or any other events that could create a buying need for [YOUR PRODUCT CATEGORY].

```

πŸ€–
ChatGPT
online
I need to research Datadog before a cold call to their VP of Sales Operations. Give me a complete pre-call briefing.
Here's your pre-call briefing for Datadog: **Company:** Datadog (DDOG) β€” cloud monitoring and analytics platform. Founded 2010, HQ New York. ~5,500 employees. Public company (NASDAQ). **Financials:** $2.7B ARR (2025). 29% YoY growth. 83% gross margins. $3B+ cash on hand. Very strong financial position. **Recent News:** - Launched AI-powered observability suite (Q1 2025) - Expanded security product line with SIEM capabilities - Opened new sales offices in Tokyo and Sydney - CEO Olivier Pomel highlighted "platform consolidation" as key strategy **VP of Sales Operations β€” likely pain points:** - Scaling sales processes across a rapidly growing global team - Consolidating the tech stack as product line expands - Improving forecast accuracy with complex multi-product deals - Onboarding new reps faster as they expand globally **Openers you can use:** 1. "I saw Datadog is expanding into security β€” that's a much more complex sales motion than monitoring. Is your sales ops stack set up for multi-product selling?" 2. "With the Tokyo and Sydney offices opening, how are you standardizing sales processes across time zones?" 3. "Your platform consolidation strategy is interesting β€” are you applying that same thinking to your internal sales tools?" Any of these will show you've done your homework and open a real conversation.
↻ Replay conversation

Building your pre-call briefing system

Here's how to make this a repeatable part of your daily workflow:

Step 1: Save your prompts. Create a note in your phone or a document with your go-to research prompts. No rewriting from scratch each time.

Step 2: Batch your research. Before your calling block, research 5-10 accounts at once. Paste each briefing into a running document. You'll have a full day's worth of intel in 15-20 minutes.

Step 3: Highlight the hooks. In each briefing, star or bold the 2-3 facts you'll actually use in your outreach. A recent funding round. A new executive hire. A competitor they use. These are your personalization anchors.

Step 4: Verify the critical stuff. AI is very good but not perfect. If you're going to reference a specific funding amount or a leadership change on a call, spend 30 seconds confirming it. Perplexity's citations make this easy β€” just click the source link.

Step 5: Store and reuse. Paste your briefings into your CRM account notes. When you follow up in 3 weeks, you won't need to research the account again β€” it's all there.

Knowledge Check
What should you always do after AI generates a prospect research briefing?
A
Send it directly to the prospect to show your preparation
B
Memorize every data point before making a call
C
Nothing β€” AI research is always 100% accurate
D
Verify the most critical facts you plan to reference using the cited sources
While AI-generated research is typically very accurate, you should always verify the key facts you plan to reference on a call or in an email. Citing an incorrect funding amount or a wrong executive name is worse than not personalizing at all. Perplexity makes verification easy with source links.

The 2-minute pre-call routine

Here's your new pre-call habit. Do this before every single call:

:00 - :30 β€” Paste the company name into Perplexity with your research prompt. Scan the briefing.

:30 - 1:00 β€” Identify your opener: what's the one piece of research that's most relevant to your prospect's role and most likely to start a real conversation?

1:00 - 1:30 β€” Review your talk track: what's your value prop for this specific person? What discovery questions will you ask?

1:30 - 2:00 β€” Note your fallback: if they hit you with an objection, what's your response? What's your meeting ask?

Two minutes. Every call. The rep who does this consistently will outperform the rep who "wings it" by a staggering margin. And with AI handling the research, there's no excuse not to do it.

Knowledge Check
How long should the AI-assisted pre-call routine take?
A
30 minutes per call
B
You don't need any preparation if you have AI
C
10-15 minutes per call
D
About 2 minutes per call
With AI handling the research, your entire pre-call preparation should take about 2 minutes: 30 seconds for the AI briefing, 30 seconds to identify your opener, 30 seconds to review your value prop, and 30 seconds for objection prep. This is fast enough to do before every single call.
πŸ’°
Day 3 Complete
"One prompt in Perplexity gives you a complete prospect briefing in under 2 minutes. Save the master prompt, batch your research, and never walk into a call unprepared again. Tomorrow you'll turn that research into cold emails that actually get opened."
Tomorrow β€” Day 4
Cold Emails That Get Opened
Tomorrow you'll master AI-generated cold emails that actually get opened, read, and replied to.
πŸ”₯1
1 day streak!