Perplexity: The AI Underdog That's Better Than ChatGPT for Cold Email Research
You're using ChatGPT to research prospects for cold email.
You paste in a name and company, ask it to find information, and get back:
"I don't have access to real-time data. Based on my training data from 2023..."
Useless.
You try Claude. Same problem. Training data cutoff means no current information.
Meanwhile, there's an AI nobody talks about that solves this exact problem:
Perplexity.
While everyone obsesses over ChatGPT and Claude, Perplexity has grown to a $20 billion valuation as of September 2025, with investors including Jeff Bezos and Nvidia backing its approach to AI-powered search.
But for some reason, it's the underdog. The tool nobody mentions in cold email guides. The AI that doesn't get the hype.
That's a mistake.
For cold email research specifically, Perplexity is better than ChatGPT. Better than Claude. Better than manually Googling.
Let me show you why—and where it still falls short.
What Makes Perplexity Different (And Better for Research)
Perplexity is an AI-powered search engine that transforms how you discover and interact with information by searching the web to deliver accessible, conversational answers backed by verifiable sources.
Unlike ChatGPT, which is trained on static data with a knowledge cutoff, Perplexity's systems process tens of thousands of index update requests each second, ensuring that the index provides the freshest results available.
Translation: Perplexity searches the current internet. In real-time. Every single query.
The Real-World Difference
Let's test both with a cold email research scenario.
Prompt: "Find recent information about John Smith, founder of TechCorp, a B2B SaaS company."
ChatGPT's response:
"I don't have real-time access to current information about John Smith or TechCorp. My training data only goes up to April 2024. I can provide general information about B2B SaaS companies if that helps."
Dead end.
Perplexity's response:
"John Smith founded TechCorp in 2023, a B2B SaaS platform focused on workflow automation for mid-market companies. Recent developments include:
- Raised $8M Series A in November 2025 (TechCrunch)
- Appeared on the 'Future of Work' podcast discussing remote team scaling (December 2025)
- Expanded from 5 to 23 employees in Q4 2025 (LinkedIn company updates)
- Previously worked at Salesforce as Director of Product (2019-2023)
Sources: [TechCrunch article, Podcast episode, LinkedIn]"
That's the difference.
Current information. Real sources. Verifiable citations.
For cold email research, this is gold.
Why Perplexity Crushes Traditional Search for Cold Email
You might be thinking: "Can't I just Google this?"
Sure. But here's what happens when you Google a prospect:
Traditional Google search:
- Type "[Prospect name] founder"
- Get 10 pages of results
- Click first link → company homepage (generic info)
- Click second link → LinkedIn profile (surface-level)
- Click third link → irrelevant news article
- Spend 15 minutes piecing together useful information
- Still miss the golden nuggets
Perplexity search:
- Ask: "Find detailed background on [Prospect name], including career history, recent interviews, and company updates"
- Get comprehensive answer in 30 seconds with all relevant details synthesized
- Click citations to verify or dive deeper
Perplexity consistently delivers high-accuracy results, with an 87% precision rate for general queries, while traditional search engines often prioritize ad placements and SEO-optimized content.
Time saved: 14.5 minutes per prospect.
If you're researching 20 prospects per day, that's 5 hours saved daily.
How to Use Perplexity for Cold Email Research
Here's the exact process that works:
Step 1: Basic Background Research
Prompt:
"Research [Prospect Name], [Title] at [Company]. Find their professional background, career history, and any notable achievements."
Perplexity will search LinkedIn, company websites, news articles, and more—then synthesize everything into a clear summary.
Step 2: Find Golden Nuggets
Prompt:
"Find interviews, podcasts, or articles featuring [Prospect Name]. Include any personal stories, career transitions, or unique achievements mentioned."
This is where Perplexity shines. It finds obscure podcasts, guest articles, and old interviews that you'd never find manually.
Step 3: Company Context
Prompt:
"What's happening at [Company] recently? Include funding, product launches, hiring, or any significant news from the past 6 months."
Perplexity compiles the most relevant insights into a coherent, easy-to-understand answer, with numbered citations linking to original sources, allowing you to easily verify the information or explore further.
Step 4: Connect the Dots
Prompt:
"Based on this information, what are the most interesting or unique details about [Prospect Name] that most people wouldn't know?"
Perplexity analyzes everything it found and highlights the golden nuggets—the details you should use in your cold email opener.
Total time: 5 minutes per prospect. Complete, verified, current information.
The Problem: Perplexity Can't Write Cold Emails
Here's where Perplexity falls short.
You now have amazing research. Golden nuggets. Current information. Perfect.
Now you need to write the cold email opener.
You ask Perplexity:
"Write a 2-line cold email opener using this information."
And it gives you:
"Hi [Name], I came across your impressive background and wanted to reach out. Your journey from [Previous Role] to founding [Company] is truly inspiring, and I'd love to connect to discuss potential collaboration opportunities!"
This is terrible.
Why? Because Perplexity is built for search and synthesis, not for nuanced, human-sounding writing.
The opener:
- Sounds robotic ("truly inspiring")
- Uses AI clichés ("I'd love to connect")
- Lacks the conversational tone that gets replies
- Feels generic despite having good information
Perplexity is incredible at finding information. It's mediocre at using that information in cold emails.
Why You Need Both: Research + Writing AI
The ideal cold email workflow combines Perplexity's research power with AI that can actually write.
Bad workflow:
- Use ChatGPT to research (outdated info)
- Use ChatGPT to write (robotic openers)
- Get 2% reply rates
Better workflow:
- Use Perplexity to research (current, deep info)
- Use Claude to write (better than ChatGPT, but still manual)
- Get 5-7% reply rates
Best workflow:
- Use automation that combines both (deep research + human-sounding writing)
- Generate openers at scale
- Get 10-15% reply rates
That's where specialized tools come in.
Where Scale Pad AI Comes In
Here's the problem with even the "better workflow":
It's still manual.
You're researching each prospect in Perplexity (5 minutes), then prompting Claude to write the opener (2 minutes), then editing it (2 minutes).
That's 9 minutes per prospect.
If you're doing 100 cold emails per week, that's 15 hours of work.
Scale Pad AI solves this by doing what Perplexity does (deep web research), but also doing what Perplexity can't (writing human-sounding openers), at scale.
How it works:
- Upload your lead list (100 prospects)
- AI researches each prospect automatically (finds golden nuggets like Perplexity)
- AI generates 2-line personalized openers that sound human (better than Perplexity)
- Download results in 15 minutes
Same quality. 100x faster.
Why Scale Pad AI > Manual Perplexity Research
Perplexity approach:
- Research each prospect manually: 5 minutes
- Copy information to Claude: 1 minute
- Generate opener: 2 minutes
- Edit for tone: 2 minutes
- Total: 10 minutes per prospect
Scale Pad AI approach:
- Upload list: 2 minutes
- AI researches all 100 prospects: 10 minutes
- AI generates 100 openers: 3 minutes
- Total: 15 minutes for 100 prospects
Time saved: 16 hours per 100 prospects.
But it's not just about speed. It's about quality.
Scale Pad AI is built specifically for cold email personalization. It knows:
- Where to look for golden nuggets (old interviews, origin stories, achievements)
- What information actually gets replies (career transitions, bold decisions, unique background)
- How to write openers that sound human, not AI (conversational tone, no clichés)
Perplexity is an amazing general research tool. Scale Pad AI is a specialized cold email personalization engine.
When to Use Perplexity vs. Scale Pad AI
Here's the breakdown:
Use Perplexity when:
- You need to research one or two prospects manually
- You're exploring a new market or ICP
- You want to verify specific claims or details
- You're learning about a prospect before a sales call
- You need current news about a company
Use Scale Pad AI when:
- You're sending 50+ cold emails per week
- You need personalized openers at scale
- You want 10-15% reply rates, not 2-3%
- You don't have time to manually research each prospect
- You want automation that combines research + writing
The reality: Most people doing serious cold email outreach need both at different stages.
Perplexity for ad-hoc research and exploration. Scale Pad AI for systematic, scaled personalization.
The Bottom Line: Perplexity Is Underrated (But Not Enough)
Perplexity is already turning heads with its lightning-fast, fact-packed search results, sleek UI, and clear citations, delivering concise answers upfront rather than just website links.
For cold email research, it's better than ChatGPT. Better than Claude. Better than Google.
But it's still not enough.
Because research is only half the battle. You also need to write openers that get replies.
And Perplexity—despite being an incredible research tool—writes openers that sound like AI.
The solution:
For manual research: Use Perplexity.
For scaled cold email: Use Scale Pad AI.
Don't choose between research quality and writing quality. Get both.
Want cold email openers that combine Perplexity-level research with human-sounding writing?
Scale Pad AI automatically researches prospects using deep web search (like Perplexity), then generates 2-line personalized openers that get 2-5x higher reply rates.
No manual research. No robotic writing. Just personalized openers at scale.
Try it free. No credit card required. Get 50 personalized openers.
Perplexity is the underdog everyone should know about. But for cold email at scale, you need something built specifically for the job.