COMPARE CONVEO
Conveo vs
Listen Labs
Both run AI-moderated interviews. Conveo keeps the discussion guide with the researcher and holds no stake in the panel you use.

The short version
Conveo's AI moderator interviews real people, and those interviews compound into a queryable understanding layer: research-grade, always on, available to every team. The researcher sets the guide, the stimulus, and the probing depth. Recruitment runs across 8+ professional panels or your own participants, in 50+ languages, on SOC 2 Type II, ISO 27001, GDPR and EU data residency.
Listen Labs runs adaptive AI-moderated interviews through a Research Agent that builds the study from a brief and returns deliverables inside 24 hours. It recruits and sells participants directly from its own 30 million-person panel, in 100+ languages, on five certifications. For teams that want the agent to run the study, that is a strong offer.
Two questions decide it. Who holds the method, the researcher or the agent? And who holds the sample, an independent platform or the vendor selling you the panel?
Results with Conveo
5X
faster iterations
5X
Confidence in your decisions driving revenue
Compare Conveo vs Listen Labs
Features
Primary audience
Research approach
Interview format
Emotion, tone & visual analysis
Cross-study search
Longitudinal programs
Recruitment
Languages
Reporting
Mobile testing flows
Enterprise compliance
Recruitment services
Enterprise consumer insights & brand research teams
AI-moderated depth interviews, qual-native quant, researcher controls the guide
Real video with a speaking AI moderator
Yes, Ekman-based, across video, voice and transcript
Yes, query patterns across past studies (talk-to-your-data)
Yes, continuous tracking & trend analysis via Conveo StoryLines
Panel-agnostic: 8+ professional panels plus your own panelists
50+
Stakeholder-ready, findings traceable to the source clip
On roadmap
SOC 2 Type II, ISO 27001, GDPR
Does not sell recruitment services, keeping the platform independent from its panel partners
Product and insights teams at tech and consumer brands
AI agent builds the study from a brief
Video, audio or text
Yes, Ekman-based emotional intelligence
Yes, in a cross-study workspace
A separate module scoped to conversational brand tracking
Recruits directly from its own 30M panel
100+
Auto-generated decks, memos, highlight reels
Yes
SOC 2 Type II, ISO 27001, 27701, 42001, GDPR
Recruits and sells participants itself
When to choose each
Choose
Listen Labs
if:
You want the agent to run the study and hand back a deck. Or one vendor for both platform and panel suits your procurement model.
Choose Conveo if:
You want no limits on the research you run: granular discussion-guide control, qual-native quant, diary and longitudinal studies. Bring your own participants or pick a built-in panel. Plus what procurement asks for, including EU data residency, PII scrubbing, SCIM provisioning and white-labelling.
The key difference
Conveo positions itself with the researcher. The guide, the probing depth, and the interview length are set by the person accountable for the method, and every finding lands in a queryable understanding layer, so the program sharpens each wave. Recruitment stays panel-agnostic, and Conveo sells none of its own, so nothing in the platform depends on the sample you pick. Listen Labs bets the other way. The agent designs, runs, and reports the study, which is genuinely faster. It also means the method, the sample, and the analysis arrive from one vendor.
"Research across multiple business units, run materially faster while meeting a global insights function's standards."
"Video-first approach is a real differentiating methodological advantage."

Conveo helps us go deep on projects we couldn’t even run otherwise with time and budget constraints.
Real human understanding, without the trade-off.
Fast insight is useless without depth. Deep insight is useless if it slows you down. Conveo goes beyond words, capturing emotion, behavior, and context others miss. The full story, delivered in days.
Frequently asked questions.
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