Perplexity and NotebookLM have recently received significant updates, making them a powerful combination for research and learning. Perplexity offers real-time search capabilities, while NotebookLM provides in-depth analysis. This article will explore six incredible ways to use these tools together to enhance your research and learning processes.
Why Use Both Perplexity and NotebookLM?
Perplexity excels at web searches and finding sources. However, a limitation is that each question triggers a new search, potentially using different sets of sources. Even when using a Perplexity Space with a custom knowledge base, it may still incorporate pre-trained data.
NotebookLM, on the other hand, provides answers exclusively based on uploaded sources. The source reference remains consistent unless new sources are added. This makes NotebookLM ideal for organizing notes and insights within a closed database, ensuring accuracy and focus.
Workflow: A Powerful Combination
The recommended workflow involves using Perplexity to gather specific sources based on your prompts or to create a Perplexity Space for collecting relevant sources like reports, studies, videos, and articles. Then, select the most valuable sources and import them into NotebookLM, prioritizing quality over quantity.
In NotebookLM, pose questions to extract insights and patterns. Utilize its audio features to discuss your research and organize different research projects. Finally, optionally, return to Perplexity to validate your new insights against open web data for cross-checking.
Six Ways to Use Perplexity and NotebookLM Together
Here are six specific use cases demonstrating the power of this combination:
1. Market Trend Analysis
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Perplexity: Use a Perplexity Space to organize a mini-project for market research. Set up custom instructions to automate the process. For example, when researching "Responsible AI," create a space and instruct Perplexity to search for reports from reputable consulting firms (Deloitte, McKinsey, BCG) and research papers about AI risk assessment.
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NotebookLM: Import the identified sources into a new NotebookLM notebook. Ask questions to extract trends and insights. For example, "What are the major shifts happening in Responsible AI?" NotebookLM will only retrieve information from the provided sources, minimizing hallucination. You can also ask for content ideas for thought leadership.
2. Product Enhancement Research
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Perplexity: Identify top software providers in your niche using Perplexity. Then, find review links for those products from platforms like G2, Product Hunt, and TrustRadius. Use focus search to narrow down results to Reddit or YouTube for more in-depth user reviews. Also, search for related industry reports.
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NotebookLM: Import the review data (at least two to three competitors) into NotebookLM. Ask questions like "What are the common pain points mentioned across these sources?" Identify weaknesses in competitors' offerings and potential opportunities for your product. Ask for specific features users are consistently missing. Upload your website product page and ask for an improvement plan on the features or messaging.
3. Audience Research
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Perplexity: Research your target audience (e.g., modern parents). Ask for recent survey studies about parents' needs for childcare, research reports about parent childcare needs, and studies about how parents choose childcare services. Use focus search to find expert interviews about the childcare industry on video platforms.
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NotebookLM: Import all the gathered sources into NotebookLM. Ask about the biggest challenges your target customers mention about childcare. Then, ask about the specific considerations they have when choosing a childcare service. Import your business website and ask for the top three changes to the homepage messaging based on your research.
4. Podcast Research
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Perplexity: Identify the top 10 leadership podcasts launched in the past year with the highest listener ratings. Use search operators to focus on ListenNotes.com. Download sample episodes from each podcast. Search for user review links for these podcasts, focusing on Pod Paradise's website.
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NotebookLM: Import all the sources (reviews, sample episodes) into NotebookLM. Ask how the podcast shows describe their ideal listeners. Summarize the target audience into categories. Compare the podcast show pages to identify unique angles and positioning. Summarize the top five positive and negative aspects from the podcasts' reviews. Ask for top content ideas that would resonate with the target audience.
5. Learning a New Subject
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Perplexity: Search for detailed guides or learning materials about your chosen topic (e.g., Marketing Psychology). Use the "INTITLE" search operator to narrow results. Search for top podcast episodes and academic studies on the topic. Use focus search on YouTube to find expert interviews and lectures.
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NotebookLM: Import all sources into NotebookLM. Generate a study guide and FAQ to quickly grasp the topic. Ask for a beginner-friendly overview in simple language with real examples. Summarize the top principles and how to apply them. Generate an audio overview customized to focus on specific aspects for a beginner. Use the interactive mode to ask questions and engage with the audio overview.
6. Speaking and Presenting
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Perplexity: Search for the most viewed TED talks of all time using YouTube focus search. Alternatively, specify speaking topics or scenarios (e.g., product launch keynotes). Use a transcript generator to grab the transcript of the talks and import them into NotebookLM as pasted text.
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NotebookLM: Import all the talks into NotebookLM. Ask for common elements in the presentations' openings. Analyze the storytelling structure of each talk. Summarize the top five speaking techniques. Import a Perplexity page about your speech topic (e.g., "Future of Work Trends") into NotebookLM. Re-import the summarized speaking techniques and ask it to summarize the top five speaking techniques again within 200 characters for customizing the audio overview. Customize the audio overview to highlight the speaking techniques used.
By combining the real-time search capabilities of Perplexity with the in-depth analysis of NotebookLM, you can significantly enhance your research and learning processes. These six use cases provide a starting point for exploring the potential of this powerful combination.