I’m really excited to share a groundbreaking discovery in AI tools! Forget paying high fees for research reports. Perplexity AI’s new Deep Research feature is free. It competes with, and even beats, paid versions from rivals like ChatGPT. This update lets anyone create high-quality, comprehensive reports with just a click. This is game-changing! I can’t wait to show you how to use it, along with Google Gemini, to transform your research process.
Introduction: The Dawn of Free AI-Powered Deep Research
If you want to add AI tools to your workflow, start with Perplexity AI. Their recent Deep Research update is a game-changer. It offers features that ChatGPT charges $200 a month for, but Perplexity provides it for free. This blog post will teach you how to use Perplexity and Google Gemini. You can create detailed research reports for free. Get ready to be amazed.
Perplexity’s Latest Update: A Research Revolution
Before this update, doing thorough research took a lot of time. The process of sorting through several websites, publications, and stories was frequently stressful. For work like this, consulting firms charge hundreds of thousands of dollars. Now, thanks to Perplexity’s Deep Research, you can accomplish the same thing for free. Let me show you how.
Once I logged into Perplexity (I picked the free plan, of course), I could easily use the Deep Research feature. I’ll walk you through five compelling examples of the kinds of reports you can generate.
Use Case 1: Unveiling Consumer Spending Habits
My first experiment looked at market trends and consumer spending during Valentine’s Day. I wanted to explore business opportunities in gifts and couples during this time. I asked Perplexity to create a report on consumer trends and spending habits for Valentine’s Day.”
In seconds, the platform checked over 31 sources and created a detailed report. I could export the report as a PDF right away, making it easy to share and use.
The report provided fascinating insights, including:
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Spending trends: It showed how much was spent on Valentine’s Day and the average amount each consumer spent.
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Spending categories: I found out how people spend their Valentine’s Day budget on things like jewelry, dining, flowers, and candy.
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Demographic breakdown: The report found that key groups, like Gen Z and Millennials, are driving spending.
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Shopping behaviour and preferences: This part gave helpful insights into what consumers enjoy and how they shop.
This is invaluable data for anyone conducting market research. It’s like having a team of expert analysts at your fingertips.
Comparing with Google Gemini:
I then replicated the same prompt in Google Gemini 1.5 Pro with Deep Research (also free). Gemini took a bit longer, but it produced an even more extensive report (almost 2,800 words!) with granular detail, covering:
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Historical spending trends: Five-year average budgets.
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In-depth consumer trends: A more nuanced look at consumer behavior.
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Market-specific trends: I could even drill down into specific markets like India.
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Popular gift categories: Detailed analysis of gifting trends.
The depth of Perplexity and Gemini is impressive.
Here are some options to think about:
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Create assignment content.
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Write engaging social media posts.
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Share market insights with your boss.
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Make compelling pitch decks.
The applications are limitless.
Use Case 2: Deep Dive into Stock Analysis
Next, I decided to test the platforms’ ability to analyze stocks. I entered a stock ticker. Both Perplexity and Gemini produced detailed reports that included:
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Company overview: Background information and key details.
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Financial performance: Recent results and future projections.
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Valuation metrics: Key financial ratios and indicators.
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Market positioning: Competitive landscape analysis.
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Investment viability: Pros, cons, and overall assessment.
Perplexity was remarkably fast, producing a multi-page report in seconds. Gemini took longer, but it gave a very detailed analysis. This quality made the extra time worth it.
Use Case 3: Crafting the Perfect Travel Itinerary
In my third experiment, I asked the AI to make a travel itinerary. I gave it details like budget and length of stay. I requested a 10-day European trip with a modest budget. Perplexity delivered a detailed itinerary, including:
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Destination recommendations: London, Zurich, and Milan.
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Daily activities: Sightseeing suggestions and things to do in each city.
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Dining options: Restaurant recommendations within the specified budget.
This feature is a dream for travelers! It gets rid of the stress of careful planning. You can explore new places with confidence.
Use Case 4: Evaluating Product Viability
My fourth experiment focused on assessing the viability of a business idea. I proposed a hypothetical app and asked the AI to analyze its potential. Perplexity produced a report covering:
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Development steps: A roadmap for building the app.
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Market viability: Assessment of market demand and potential challenges.
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Competitive analysis: Overview of existing competitors and their strengths and weaknesses.
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SWOT analysis: A comprehensive analysis of strengths, weaknesses, opportunities, and threats.
This feature helps entrepreneurs and anyone looking to launch a new product. It offers valuable insights into the market landscape and helps spot potential roadblocks. Gemini also provided a detailed report. It looked at market trends, competitor analysis, and possible risks and opportunities. However, it took a bit longer to complete.
Use Case 5: Generating YouTube Scripts from Research
The last use case I explored was using research reports to create YouTube video scripts. I asked the AI to write a script on a recent controversial topic. First, I used Perplexity to gather information and generate a report. Then, I input that report into ChatGPT and Claude.ai, asking them to produce YouTube scripts.
The results were impressive. Both platforms produced strong scripts. They took details from the research report. They split the video into clear sections. They also shared balanced opinions on the topic. This workflow makes video creation easier, from research to scripting. Gemini took longer in its research phase, but it produced a detailed report. This report helped create a high-quality, nuanced script.
Conclusion
I am blown away by the capabilities of Perplexity AI Deep Research and Google Gemini. They empower anyone to conduct in-depth research and generate professional-quality reports for free. This is a paradigm shift in the world of information access and analysis.
Try using these powerful tools. See how they can change your research workflow. Let me know in the comments how you plan to use Deep Research and what blog I should create next.
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