Best Ways to use NotebookLM (over Perplexity) for Content Research
AI Summary
Summary of Notbook LM Features and Use Cases
- What is Notbook LM?
- A beta AI product by Google for research and note-taking.
- Personalized knowledge base powered by AI.
- Supports various file formats and sources, including Google Docs, Slides, PDFs, images, and YouTube videos.
- Utilizes the AI model Gini 1.5 Pro.
- Unique Features:
- Supports up to 50 sources for research.
- Multi-model capability and support for different languages.
- Generates content based on the sources provided, avoiding hallucinations.
- Built-in prompts for creating FAQs, study guides, and tables of content.
- Audio overview generation for podcast-style discussions.
- Citations feature that points to the exact source of information.
- Limitations:
- No chat history between sessions.
- Some websites may block AI access or have source restrictions.
- Only public YouTube videos are supported, and recent uploads may not be immediately available.
- Audio generation may include irrelevant information.
- Best Use Cases:
- YouTube Content Research:
- Import top-performing YouTube video links for analysis.
- Identify common themes, successful hooks, and unique angles.
- Competitor Analysis and Website Messaging Improvement:
- Import competitor URLs to summarize main messages, services, and target customer tones.
- Identify positioning gaps and suggest opportunities for differentiation.
- Content Optimization:
- Analyze top-ranking Google search results for a given keyword.
- Summarize main topics and suggest semantic keywords for content relevance.
- Turning Blog Articles into Podcasts:
- Use the audio overview feature to generate a transcript.
- Edit the transcript to create a podcast script.
- LinkedIn Comments Analysis for Audience Research:
- Analyze comments from top LinkedIn influencers’ posts.
- Identify points that resonate with the audience and suggest content ideas.
Detailed Instructions and Tips
- Creating a Notebook:
- Click “Create” and import sources under the “Source Import” section.
- For YouTube, paste video links one by one.
- Analyzing Content:
- Summarize key themes, hooks, and angles from imported sources.
- For websites, summarize main messages and identify positioning gaps.
- Audio Overview Generation:
- Generate an audio file and re-upload it to get the transcript.
- Edit the transcript for podcast use.
- Analyzing Comments:
- Import links to LinkedIn posts and analyze visible comments for audience insights.
Notes
- Always save responses as a note for future reference.
- Do not copy competitors’ positioning directly; use insights to differentiate.
- Ensure original content is used for podcast creation to maintain authenticity.
- Analyze multiple sources for accurate results in audience research.
Additional Resources
- A bundle from HubSpot with resources for using chat GPT at work is mentioned, but no URL is provided in the transcript.