Key insights

• ⚙️ Perplexity provides real-time search capability, while NotebookLM offers deep analysis based on specific sources.
• 🔍 Combination allows for gathering specific sources, extracting insights, organizing research projects, and validating new insights against open web data.
• 📊 Perplexity can be used to gather specific sources based on a prompt or create a space for collecting relevant sources.
• 📚 NotebookLM can be used to ask questions, extract insights or patterns, use audio features to discuss research, and organize different research projects.
• 🔄 The workflow involves using Perplexity to gather specific sources, importing them into NotebookLM, and potentially validating new insights against open web data.
• 🧠 AI tools like Perplexity and NotebookLM are used for responsible AI, product research, and content creation ideas.
• 📈 Using these tools, one can gather real user pinpoints, identify missing features, and understand industry trends.
• 📝 Using Perplexity and NotebookLM for audience research, importing website for improvement plan based on audience research, in-depth audience research for childcare service business using search operators and focus search mode.

Q&A

• What does the tutorial on using NotebookLM cover?

  The tutorial on using NotebookLM covers analyzing and customizing speech techniques for delivering successful presentations and speeches. It involves using NotebookLM to analyze TED talks, extract speech techniques, and customize audio overview generation for specific learning needs.

• How can Perplexity and NotebookLM be used to research marketing psychology, generate study guides, and apply psychology principles to businesses?

  Perplexity and NotebookLM can be used to gather information on marketing psychology, generate study guides, and apply psychology principles to businesses. The process involves using Perplexity search to find learning materials, import sources to NotebookLM for study guides and FAQs, applying psychology principles to a childcare business, and using NotebookLM for speaking and presenting guidance.

• What steps are involved in planning a new leadership podcast using Perplexity and NotebookLM?

  Planning a new leadership podcast involves using Perplexity to find top podcasts with high listener ratings, downloading recent episodes for analysis, searching for user reviews, importing sources into NotebookLM, summarizing the target audience, comparing podcast shows, and obtaining top content ideas for a new podcast that can resonate with the audience.

• How can AI tools improve personalization, audience research, and podcast planning?

  AI tools like Perplexity and NotebookLM can improve AI for personalization, lead scoring, customer data management, audience research, and podcast planning. They can help import website data for improvement plans based on audience research, conduct in-depth audience research for podcast content ideas and positioning, and more.

• In what areas are AI tools like Perplexity and NotebookLM being used?

  AI tools like Perplexity and NotebookLM are being used for responsible AI, product enhancement research, and content creation ideas. They help identify trends, analyze user feedback, and gather relevant sources.

• What is the workflow for using Perplexity and NotebookLM together?

  The workflow involves using Perplexity to gather specific sources, importing them into NotebookLM, and potentially validating new insights against open web data.

• How can Perplexity and NotebookLM be used individually?

  Perplexity can be used to gather specific sources based on a prompt or create a space for collecting relevant sources. NotebookLM can be used to ask questions, extract insights or patterns, use audio features to discuss research, and organize different research projects.

• What can Perplexity and NotebookLM be used for?

  Perplexity and NotebookLM can be used together for research and learning. Perplexity provides real-time search capability, while NotebookLM offers deep analysis based on specific sources. The combination allows for gathering specific sources, extracting insights, organizing research projects, and validating new insights against open web data.

• 00:00 Perplexity and NotebookLM can be used together for research and learning. Perplexity provides real-time search capability while NotebookLM offers deep analysis based on specific sources. The combination allows for gathering specific sources, extracting insights, organizing research projects, and validating new insights against open web data.
• 02:43 AI tools like Perplexity and NotebookLM are being used for responsible AI, product enhancement research, and content creation ideas. They help identify trends, analyze user feedback, and gather relevant sources.
• 05:40 Developing AI for personalization, audience research, and podcast planning can be improved using Perplexity and NotebookLM.
• 08:40 🎙️ Planning a new leadership podcast involves researching top podcasts, analyzing episodes, reviewing user feedback, and targeting specific audience demographics and content ideas.
• 11:31 The segment covers a detailed process for researching marketing psychology, using various resources to gather information, and utilizing NotebookLM to generate study guides, FAQs, and audio overviews. It also discusses applying psychology principles to a childcare business and using NotebookLM for speaking and presenting guidance.
• 14:50 A tutorial on using NotebookLM to analyze and customize speech techniques for delivering successful presentations and speeches.