A product manager’s job isn’t easy—they have to ensure that a product is built, improved, and delivered in a way that solves customers’ problems and meets business goals, bridging the gap between customers and product designers for optimal results.
AI can help product managers in more ways than one:
- Providing deep insights into customer data and conducting in-depth market research.
- Predict user behaviour and point product managers in the right direction regarding feature prioritization, marketing strategies, etc.
- Automating repetitive tasks.
- Improving forecasting and roadmap planning.
- Monitoring performance and KPIs.
However, to make the most of AI, you must choose an AI-powered platform that is optimal for your specific use case, organizational structure, and goals.
I hand-picked the best AI tools for product managers, covering various use cases and needs to ensure everyone finds their perfect match.
Let’s go!
Table of contents
Factors I Considered When Making the List
1. Real-time collaboration
Product managers work with cross-functional teams, so being able to collaborate with all essential team members is a no-can-do-without.
Prioritize tools that provide a shared workspace that enables everyone to contribute to important workflows, such as designing roadmaps or brainstorming ideas.
2. Scalability and customization
Can the tool you choose continue to support your team as it scales? Can it be fully customized to your specific needs and adjusted on the go?
These are essential questions to ask yourself when shopping for AI tools for product managers.
The platform you pick should provide enough customization and personalization options to enable you to tailor it completely to your organization while being agile enough to adjust as your business scales.
3. Security and compliance
Product managers handle sensitive data, both customer and business, so having first-rate security features is a must.
Look for tools that provide robust data encryption and secure storage, compliance with relevant security standards (e.g., GDPR, HIPAA), and role-based access controls.
4. Key features
Ensure that the AI tool for product managers you invest in can solve your pain points.
To assess this, you need a good understanding of the platform’s essential features.
Some use cases require more versatile and powerful features, while others can be handled with more basic (and therefore cheaper) tools.
In the end, it all depends on what you expect your AI tool to do and how much money you’re willing to spend.
What Are the Best AI Tools for Product Managers in 2025?
Here are the best AI tools for product managers on the market in 2025 based on my analysis of 50+ platforms:
1. Team-GPT: Real-time collaboration and customization of the most powerful AI models to help product managers enhance their efficiency and productivity.
2. Miro: Collaborative brainstorming and roadmap planning.
3. Amplitude: User behavior tracking.
4. Motion: Project management and task automation.
5. Qualtrics XM: Analyzes product feedback.
6. Productboard: Feature prioritization.
7. Maze: User testing and prototyping.
8. tl;dv: Records and summarizes meetings.
9. Zeda.io: Customer-led product discovery.
10. Aha!: All-in-one product management.
1. Team-GPT
Team-GPT is a collaborative AI platform built to help teams of all sizes and across industries make the most of AI.
Full disclosure: Even though Team-GPT is our tool, I’ll provide an unbiased perspective on why it is the best AI tool for product managers.
It’s the ideal choice for product manager teams that want:
- A fully customizable AI platform fit to adjust to their needs.
- To keep the entire team on the same page at all times.
- Leverage AI to handle all the essential parts of the product management and development process.
Let’s take a closer look at some of Team-GPT’s most helpful features for product management teams.
Feature #1: Customization of popular AI models
Team-GPT is model-agnostic, allowing your team to use various AI models simultaneously – ranging from the newest versions of OpenAI and Anthropic to your own LLMs.
You can easily switch between these models within the same chat, which allows you to always use the AI engine best suited for a specific use case (e.g., idea generation, scenario testing, crafting visuals, etc.).
However, this is not the only thing that makes Team-GPT one of the most flexible AI platforms today.
The software also provides:
- A comprehensive library of reusable and customizable prompts designed for product management tasks.
- Options for creating and storing custom prompts that are used most often to streamline workflows across the team.
- Custom instructions allow you to configure specific parameters for tone, format, and content focus to make sure everything you create aligns with your product vision.
- Custom personas enable you to prompt the chat to act like a specific persona (e.g., customer, product designer, etc.) when providing output to test scenarios, gain expert insights, personalize product features, etc.