We asked 4 AI models to recommend the NotebookLM best practices. Here's what GPT-4.1, Gemini, Grok, and Llama agree on.
🏆 AI Consensus Winner: Clear and Concise Prompts — recommended by 1/4 models
🔴 AI Confidence: LOW — no clear winner
AI Consensus
These products were recommended by multiple AI models:
- Clear and Concise Prompts
- Structured Data Input
- Regular Model Updates
- Contextual Information Management
- User Feedback Integration
What Each AI Recommends
| Rank | GPT-4.1 | Gemini | Grok | Llama |
|---|---|---|---|---|
| 1 | Clear and Concise Prompts | Focus on Specific, Well-Defined Sources | Curate High-Quality Sources | Organize your sources |
| 2 | Structured Data Input | Use High-Quality, Credible Information | Craft Specific Prompts | Use clear and concise names for your notes |
| 3 | Regular Model Updates | Leverage NotebookLM's Auto-Summarization and Key Fact Features | Leverage Grounding Features | Structure your notes with headings and subheadings |
| 4 | Contextual Information Management | Organize Your Notebooks Logically | Generate Audio Overviews | Link related notes together |
| 5 | User Feedback Integration | Iterate and Refine Your Prompts | Iterate on Outputs | Regularly review and refactor your notes |
Best For Your Needs
- Best overall: Clear and Concise Prompts
- Best free option: Structured Data Input
- Best for small teams: Regular Model Updates
- Best for enterprises: Clear and Concise Prompts
Methodology
We asked each AI model: "What are the Notebooklm Best Practices? List your top 5 recommendations."
Models used: GPT-4.1 Nano (OpenAI), Gemini 2.5 Flash (Google), Grok 4.1 Fast (xAI), Llama 4 Scout (Meta). No web search was enabled — these are pure AI opinions based on training data.
The "AI Consensus" shows products mentioned by 2 or more models. The winner is the product that appears most frequently in the #1 position.