Compare AI tools

	GitHub Copilot B	NotebookLM S	Otter.ai B	Perplexity S
Tagline	Microsoft/GitHub's autocomplete. Deep VS Code + JetBrains integration.	Google's research notebook. Turns your docs into a podcast.	Meeting transcription veteran. Cross-platform, team-friendly.	AI search done right. Cited answers, not chat theater.
Category	coding	research	meeting	research
Pricing	Free (limited) + $10/mo Pro + $19/mo Business	Free	Free + $17-$30/user/mo	Free + $20/mo Pro
Best for	Teams with GitHub already. Devs who don't want to change IDEs.	Students, researchers, anyone with a stack of PDFs or a topic to learn.	Teams on Windows/PC. Anyone needing cross-platform coverage.	Replacing Google for any question where you want a cited answer in seconds.
Strengths	Great enterprise story Works in your existing IDE Chat + autocomplete	Upload anything, ask questions, get cited answers Audio Overview turns docs into a 10-min podcast Great for studying	Joins meetings as a bot (Zoom, Meet, Teams) Team sharing + search across transcripts Live captioning	Sources every claim Fast, current answers Pro Search runs multi-step research Spaces for persistent context
Weaknesses	Less agentic than Cursor/Claude Code Model quality varies	Google-only Can be slow on large corpora	Bot joining is intrusive UX feels dated	Not a general chatbot Answers can be shallow on complex topics
Kai's verdict	B-tier. Solid for autocomplete but the category moved past it. Pick Cursor unless you can't.	S-tier for study. The Audio Overview is a killer feature. Try it with three of your favorite PDFs.	B-tier. Granola is better UX but Otter works everywhere. Pick based on your platform.	S-tier for search. I use it before Google now. If you're still Googling everything, try this for a week.
Link	Open →	Open →	Open →	Open →