Listen Labs and Mina are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Listen Labs: Enterprise AI customer research platform that recruits participants, runs AI-moderated interviews, and delivers executive-ready insight reports. Mina: An AI meeting assistant that joins calls as a participant and can respond, take actions, and update connected tools live during the conversation. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants workflows, shortlist Listen Labs when replacing or supplementing surveys with scalable ai-led customer interviews matters most, and Mina when providing live discovery support and updating the crm during sales calls matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Enterprise AI customer research platform that recruits participants, runs AI-moderated interviews, and delivers executive-ready insight reports.
AI interviewer running personalized video, audio, and text interviewsAutomated key themes, takeaways, and persona generationExecutive-ready reports with highlight reels and slide decks
An AI meeting assistant that joins calls as a participant and can respond, take actions, and update connected tools live during the conversation.
Cross-meeting memory and configurable assistant rolesIntegrations with Slack, HubSpot, Salesforce, Jira, Notion, Linear, and GitHubJoins Google Meet, Zoom, and Teams as an active participant
Listen Labs is a free tier with paid upgrades (freemium); Mina is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
AI interviewer running personalized video, audio, and text interviews
Joins Google Meet, Zoom, and Teams as an active participant
Standout feature
Global participant recruitment with bring-your-own-audience option
Reactive (wake-phrase) and proactive (always-on) operating modes
Team usage
Stimulus testing with videos, images, and Figma prototypes
Live generation of summaries, proposals, action items, and follow-ups
Integrations
Automated key themes, takeaways, and persona generation
Real-time CRM and workflow updates to connected tools
Languages & capture
Executive-ready reports with highlight reels and slide decks
Cross-meeting memory and configurable assistant roles
Best-fit workflow
Support for 100+ languages with translation and transcription
Integrations with Slack, HubSpot, Salesforce, Jira, Notion, Linear, and GitHub
Best for
Listen Labs
Choose Listen Labs if you need replacing or supplementing surveys with scalable ai-led customer interviews — strengths include end-to-end automation from recruitment to executive-ready deliverables.
Mina
Choose Mina if you need providing live discovery support and updating the crm during sales calls — strengths include acts during the meeting rather than only producing notes afterward.
Pros & cons
Listen Labs
+ End-to-end automation from recruitment to executive-ready deliverables
+ Large global participant network reduces sourcing effort
- Enterprise positioning may exceed the needs and budgets of small teams
Mina
+ Acts during the meeting rather than only producing notes afterward
+ Wide range of integrations for CRM and project-tool updates
- Joins as a visible participant, so it is not a bot-free or stealth option
FAQ
Is Listen Labs or Mina better for AI meeting notes?
It depends on your workflow. Listen Labs is strong for replacing or supplementing surveys with scalable ai-led customer interviews, while Mina is strong for providing live discovery support and updating the crm during sales calls. Both transcribe and summarize meetings.
How do Listen Labs and Mina compare on price?
Listen Labs is a free tier with paid upgrades and Mina is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Can I use both Listen Labs and Mina?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.