Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Listen Labs: Enterprise AI customer research platform that recruits participants, runs AI-moderated interviews, and delivers executive-ready insight reports. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and Listen Labs when enterprise concept and prototype testing with recruited participants matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time.
Enterprise AI customer research platform that recruits participants, runs AI-moderated interviews, and delivers executive-ready insight reports.
Aurelius is a research repository and insights platform designed for UX researchers, designers, and product teams to manage qualitative research data end to end. It sits between a note-taking tool and a full research repository: teams bring in raw data such as interview notes and transcripts, organize and tag it, and the tool surfaces patterns and helps create reusable insights over time. Core capabilities include centralized storage for research data, note organization, data tagging, theme and pattern identification, and report generation, so findings can be referenced long after a study concludes. Aurelius is built with larger research organizations in mind, supporting consistent taxonomy across projects and keeping insights discoverable as repositories grow, while also enabling multi-team collaboration and research history and archival features. Researchers describe it as a low-effort way to tag and create insights they can reference in later product discussions. The platform positions itself as an alternative to fragmented approaches that rely on spreadsheets, Confluence, or Airtable for storing research. By centralizing qualitative data and making it searchable and well-organized, Aurelius aims to ensure that interview insights remain accessible and actionable across an organization. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Listen Labs is an AI-first customer research platform that automates the qualitative research workflow end to end, from study design and participant recruitment through AI-moderated interviews to insight delivery. Its AI interviewer conducts personalized, in-depth conversations with each participant, asking follow-up questions and understanding context without a human moderator, and the platform supports video, audio, and text formats in 100-plus languages with automatic translation and transcription. Studies can incorporate stimuli such as videos, images, and Figma prototypes, and recruitment draws on a global network of tens of millions of qualified participants, with the option to integrate existing recruitment providers or bring your own audience. Once interviews complete, Listen Labs automatically packages results into executive-ready outputs, surfacing key themes and takeaways, generating personas, and producing highlight reels and slide decks, with turnaround measured in hours rather than the weeks typical of traditional research. The company is venture-backed and reports use by large consumer and technology brands, positioning the platform for enterprises looking to replace or supplement surveys and traditional market research with scalable AI-led interviews. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Listen Labs is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Listen Labs |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | AI interviewer running personalized video, audio, and text interviews |
| Standout feature | Data tagging and note organization | Global participant recruitment with bring-your-own-audience option |
| Team usage | Theme and pattern identification across research | Stimulus testing with videos, images, and Figma prototypes |
| Integrations | Insight creation and report generation | Automated key themes, takeaways, and persona generation |
| Languages & capture | Consistent taxonomy across projects for large repositories | Executive-ready reports with highlight reels and slide decks |
| Best-fit workflow | Multi-team collaboration with research history and archival | Support for 100+ languages with translation and transcription |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
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.
Aurelius
Listen Labs
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Listen Labs is strong for replacing or supplementing surveys with scalable ai-led customer interviews. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Listen Labs is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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