7 AI Tools Every Product Manager Should Be Using Right Now
These tools are changing how PMs research, write, and ship. Here are the seven worth your time.
The Signal vs. The Noise
There are hundreds of AI tools. Most are demos with a landing page. These seven are different — they solve real PM problems.
1. Claude (Anthropic)
Best for: Long-context analysis, PRD drafting, research synthesis.
Claude handles large documents better than any other model. Paste in your user interviews, customer support tickets, or competitive reports — and get structured insight back.
2. Perplexity
Best for: Fast market research with citations.
Stop using Google for research. Perplexity returns cited, synthesized answers. Set it as your research default.
3. Notion AI
Best for: Meeting notes, documentation, async communication.
If your team lives in Notion, the AI features are now genuinely useful — not just autocomplete.
4. Granola
Best for: Meeting transcription + structured summaries.
Granola runs locally and turns your meetings into structured notes automatically. No more post-meeting write-ups.
5. Linear + AI
Best for: Sprint planning, issue triage.
Linear's AI features now summarize issues, suggest priorities, and flag blockers. If your team is on Linear, turn this on.
6. Loom AI
Best for: Async video + auto-summaries.
Record a walkthrough, Loom AI writes the summary and chapters. Huge for distributed teams.
7. Cursor
Best for: Quick SQL queries, prototype specs, data analysis.
You don't need to be an engineer to use Cursor. PMs use it to write SQL against their own data, explore APIs, and build quick prototypes.
The Stack Mindset
Don't try to use all seven at once. Pick one tool for each phase of your workflow. Research → Perplexity. Writing → Claude. Meetings → Granola. Build the habit, then expand.
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