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Perplexity Labs: 5 Game-Changing Use Cases for Your Business 🚀
Turn Research Into Ready-to-Use Business Assets in Minutes
About
Introducing Perplexity Labs 👋
What if you could research your competitors, build landing pages, and create professional dashboards all in one workflow? That's exactly what Perplexity Labs does—and most people are using it completely wrong.
While everyone's stuck thinking it's just "upgraded search," Perplexity Labs is actually a creation engine that combines deep research with automated building. It doesn't just find information—it turns that research into interactive dashboards, landing pages, and business presentations you can use immediately.
Here's how to unlock its full potential with 5 proven use cases that'll transform your business operations.
Why This Matters Now 💡
While your competitors are still paying $500+/month for prospect databases or spending days on manual research, you could be generating the same assets in 10 minutes for $20/month. But here's the catch—you only get 50 shots per month, so you better make them count.

Perplexity Labs
Introduction
What Makes Perplexity Labs Different?
Unlike basic Perplexity search or even deep research, Labs extends the workflow to build ready-to-use business assets. Think of it as having a research analyst and a developer working together—it researches your topic thoroughly, then automatically builds whatever you need from that data.
Prerequisites & Requirements ⚠️
Before You Start:
PRO Plan Required: Perplexity Labs is only available on the PRO subscription plan
Usage Limits: 50 Labs requests per month (plan accordingly!)
Alternative Entry: You can start in deep research mode and switch to Labs mid-conversation—it maintains full context
Pro Tip: If you only need in-depth research without building assets, stick with regular deep research since both share the same research engine.
Critical Limitations You Must Know 🚨
Iteration Challenges Making changes is tricky—each modification is treated as a new request, so your final output may differ significantly. Unlike other AI building tools that maintain consistency, Labs doesn't have the same level of control.
⚠️ Solution: Spend extra time crafting your initial prompt perfectly. This is the key to professional outputs.
Security Concerns Unlike Claude Artifacts or Google Gemini where you can delete shared links anytime, Perplexity Labs shared links cannot be revoked once copied and distributed.
⚠️ Solution: If security is a concern, download all source files and host them in your own environment instead of using shared links.
Use Case
#1: Prospect Research Dashboard 🎯
The Problem: Traditional lead generation means expensive databases or hours of manual research.
The Solution: Build an interactive prospect dashboard that identifies high-growth companies and prioritizes your outreach efforts.
How to Do It:
Step 1: Access Perplexity Labs by hovering over the lightbulb icon
Step 2: Use this prompt structure:
Research high-growth D2C e-commerce companies expanding in [your target market]. Focus on growth indicators like product launches, market expansion, and funding. Output: Interactive dashboard with prospect database, lead scoring, and outreach templates.
Step 3: Wait 10 minutes for processing (research + building)
What You Get:
Summary Dashboard: Prospect numbers, lead score distribution, industry breakdown
Prospect Database: Company details, location, revenue, contact info with search functionality
Detailed Profiles: Click any prospect for comprehensive company information
Outreach Templates: Ready-to-use email templates for each prospect
Analytics: Geographic distribution, funding status, key insights
⚠️ Critical Watch-Out: Always fact-check the data, especially contact information. While the creator randomly verified that people exist at their companies, you should verify before outreach.
Real Impact: What normally takes hours of manual research now happens automatically in 10 minutes, giving you a head start on identifying potential targets in your niche—especially for companies that aren't Fortune 500 where information is harder to find online.
Use Case
#2: Research-Backed Landing Pages 📄
The Problem: Most landing page builders create generic pages without market research.
The Solution: Combine competitor analysis with landing page creation for data-backed, high-converting pages.
How to Do It:
Step 1: Prepare a detailed product brief with positioning, features, and competitor information
Step 2: Attach your brief and use this comprehensive prompt:
Research [competitor names] messaging and customer language patterns. Analyze user feedback, feature gaps, and pricing strategies from G2, forums, and review sites. Output: Fully functional landing page with interactive calculator, professional design in [your preferred colors], including real customer quotes.
Step 3: Review the research findings and generated page
What You Get:
Professional Landing Page: Hero section, CTA buttons, feature callouts that rival Claude or Gemini outputs
Interactive Elements: ROI calculators that work dynamically
Research-Based Copy: Headlines and messaging based on real customer language from G2 and forums
Competitor Analysis: Feature comparison charts and pricing insights
Customer Quotes: Real testimonials sourced from review sites
Visual Assets: Charts, customer journey visualizations, comparison tables in your preferred color scheme
💡 Success Secret: The key is spending more effort crafting detailed prompts. This is what separates professional-looking outputs from standard results.
Key Advantage: Unlike generic page builders, your landing page is backed by actual market research and competitor intelligence, making it much more impactful.
Use Case
#3: Social Media Trend Tracker 📱
The Problem: Staying on top of trends across multiple platforms is time-consuming and inconsistent.
The Solution: Build an automated trend tracker that monitors conversations and identifies content opportunities.
How to Do It:
Step 1: Define your niche and tracking criteria
Step 2: Use this prompt structure:
Monitor social media conversations about [your industry/topic] from the last 30 days. Categorize trends by engagement metrics and sentiment. Output: Interactive dashboard with filters, engagement indicators, and content opportunity suggestions.
What You Get:
Core Metrics: Total discussions, overall sentiment, platform breakdown
Trend Grid: Top trending topics ranked by engagement with visual indicators
Content Opportunities: Emerging topics with urgency labels for content planning
Question Mining: Real user questions synthesized from social conversations
Platform Analysis: Which platforms drive the most discussion in your niche
📊 Expected Results: X (Twitter) typically accounts for around 42% of discussions, with overall positive sentiment in most niches.
⚠️ Limitation: The dashboard may feel empty without data proof or links to original sources, but it still provides valuable high-level insights for content strategy.
Use Case
#4: Competitor Intelligence with Brand Sentiment 🔍
The Problem: Competitive analysis usually lacks real-time brand perception data.
The Solution: Create a comprehensive competitor dashboard that includes brand sentiment monitoring.
How to Do It:
Step 1: Identify 3-4 key competitors
Step 2: Use this detailed prompt:
Analyze [Competitor A, B, C] vs [Your Brand] in [CURRENT YEAR]. Compare features, pricing, loyalty programs, and brand sentiment from social media mentions. Output: Interactive competitor intelligence dashboard with sentiment analysis.
Step 3: CRITICAL: Always specify the current year to ensure fresh data
What You Get:
Market Share Overview: Visual comparison of competitor positions
Customer Pain Points: Major industry issues and differentiation opportunities
Brand Sentiment Scores: Overall scores with positive/negative mention tracking
Feature Analysis: Side-by-side comparison highlighting where you fall short
Share of Voice: Social media presence breakdown by platform
Action Items: Specific opportunities based on research findings
🚨 Major Watch-Out: The system may pull last year's data if you don't specify the current year in your prompt. Always double-check data sources and specify the year to avoid outdated information.
💥 Golden Insight: The dashboard immediately shows where the biggest opportunities are for differentiation—this is pure gold for strategic planning.

Example Dashboard Mockup
Use Case
#5: Go-to-Market Strategy Presentation 📊
The Problem: GTM strategy decks require weeks of research and professional design.
The Solution: Generate consulting-grade strategy presentations with live market data and competitive intelligence.
How to Do It:
Step 1: Define your product and target market clearly
Step 2: Use this comprehensive prompt:
Research [your market] in [CURRENT YEAR] including key players like [competitors], market opportunities, and distribution strategies. Output: 10-slide GTM strategy presentation with charts, professional design in [color scheme], consulting-firm quality.
Step 3: CRITICAL: Specify current year for latest market data
What You Get:
Professional Presentation: Consulting-firm quality with clear messaging and big callout boxes
Market Opportunity Analysis: Data-backed market size and growth projections
Competitive Landscape: Differentiation metrics showing your position vs competitors
Financial Projections: Revenue forecasts with visual charts
Implementation Roadmap: 18-month timeline with success metrics
Supporting Charts: Generated separately but integrated into final deck
🎨 Design Note: You may need minor adjustments (like using white text on dark backgrounds), but the overall quality rivals big consulting firms.
⏱️Time Savings: What typically takes weeks of research and design now happens in minutes, giving you a professional starting point for executive presentations.
Closing
Essential Watch-Outs & Best Practices ⚠️
Data Accuracy
Always fact-check data before using, especially contact information and financial figures
Verify sources by checking the research response for G2, forums, and review sites citations
Cross-reference key claims with your own knowledge or additional research
Prompt Crafting
Spend significant time crafting detailed, comprehensive prompts—this is the key differentiator
Include specific design requirements and color preferences for professional outputs
Specify current year in every prompt to avoid outdated information
Attach relevant briefs and context documents for better results
Security Considerations
Shared links cannot be revoked once distributed—use with caution
Download all assets as ZIP files if you need to make further adjustments
Host sensitive content in your own environment rather than using shared links
Consider data privacy implications before sharing dashboards with external stakeholders
Enterprise Alert: Unlike Claude or Gemini, shared links are permanent. For sensitive data, always download and self-host. This isn't negotiable for client-facing materials.
Managing Limitations
Plan for single-shot success since iterations are difficult
Use your 50 monthly requests strategically on high-impact use cases
Start with deep research if you're unsure, then switch to Labs
Download assets immediately to avoid losing work
Getting Started: Your Strategic Action Plan 🎯
Week 1: Start with Use Case #1 (Prospect Research) to see immediate ROI and learn the system
Week 2: Try Use Case #3 (Trend Tracker) for your content strategy—lower stakes, high value
Week 3: Build a competitor dashboard (Use Case #4) for strategic insights
Week 4: Create a landing page (Use Case #2) for your next campaign Month 2: Tackle GTM strategy presentations for major initiatives
Monthly Planning: With only 50 requests per month, plan your Labs usage around:
15 requests for prospect research (3-4 per week)
10 requests for trend tracking (weekly updates)
10 requests for competitor intelligence (bi-weekly)
10 requests for landing pages (major campaigns)
5 requests for GTM strategies (quarterly planning)
Wrapping it Up! 😎
Perplexity Labs isn't just another AI tool—it's your research analyst, designer, and developer rolled into one. While others are still copying and pasting between different platforms, you'll be generating complete business assets in a single workflow.
The 50 monthly usage limit and iteration challenges mean you need to be strategic and get your prompts right the first time. But these 5 use cases, combined with proper watch-outs and best practices, will give you the biggest bang for your buck.
Remember: Always fact-check data, specify the current year, craft detailed prompts, and plan for security. These simple practices separate professional results from amateur outputs.
Ready to turn research into revenue? Fire up Perplexity Labs and pick your first use case. Your competitors won't know what hit them. 🚀
Keep reading up, keep learning and don’t be a follower of the AI revolution, instead be part of it! 💪
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The Context Window Team!