AI Tools for Product Managers: An Overview

The Four Tool Categories

Not all AI tools are the same. Understanding the categories helps you pick the right tool for each job.

Category 1: General-Purpose LLMs

These are the big foundation models. ChatGPT, Claude, and Gemini are examples. They work on any text task: writing, analysis, brainstorming, explaining. No special PM training.

Use them for:

• Drafting PRDs, user stories, roadmap updates
• Brainstorming product concepts
• Explaining technical topics
• Synthesizing interview notes

They are flexible and free or low-cost. The downside is they are not built for PMs, so workflows may feel clunky.

Category 2: Research and Fact-Finding Tools

Perplexity and similar tools let you ask questions and get cited answers from the web. They search the internet and show you sources.

Use them for:

• Finding competitor features and pricing
• Looking up market trends with citations
• Researching technical capabilities
• Understanding regulatory changes

When you need facts verified against real sources, these are better than general LLMs. They do not hallucinate as easily because they are grounding answers in search results.

Category 3: PM Platform Tools

Tools like Notion AI, Linear, and Productboard have AI built into their platforms. You write PRDs or docs in the tool, and AI helps inline.

Use them for:

• Drafting within your PM workflow
• Generating summaries of roadmaps
• Auto-tagging features or issues
• Organizing meeting notes

The advantage is no context switching. You stay in your tool. The disadvantage is that the AI often feels limited compared to standalone LLMs.

Category 4: Analytics and Feedback Tools

These aggregate feedback and use AI to find patterns. Tools like Dovetail and some Slack bots ingest support tickets, surveys, or feedback and cluster them automatically.

Use them for:

• Batching similar customer requests
• Tracking sentiment trends
• Finding top feature requests automatically

When to Use Each

For fast writing and thinking, use general LLMs. For verified facts, use research tools. For integrated workflows, use platform tools. For high-volume feedback analysis, use analytics tools. Most PMs will rely heavily on general LLMs for most tasks.

Cost Considerations

General LLMs typically cost 0-20 dollars per month. Perplexity has a free tier. PM platform tools and analytics tools run 30-500 dollars per month depending on features. Start with a general LLM subscription and add specialized tools if your workflow demands it.

Do not wait for the perfect tool. Start with ChatGPT or Claude and learn the patterns first. The tool is less important than the thinking.