Listen Labs
AI-moderated qualitative research interviews at enterprise scale
By Listen Labs · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Enterprise consumer-insights, brand and UX research teams running frequent concept, creative and brand-tracking studies
- Product and marketing teams that need the qualitative 'why' behind decisions before they ship
- Agencies and research partners recruiting niche, low-incidence or B2B expert audiences across 120+ languages
- Global brands that want multilingual interviews in many markets on an always-on cadence
Ideal size: 10-50 (insights / UX research) people · Enterprise brand with a dedicated insights, brand or UX research function
Not for
- Teams that only need quantitative survey data and statistical modelling
- Buyers who require self-serve, publicly listed per-seat pricing and a free trial
- Organizations that need on-premise or fully self-hosted deployment
- Very small teams with occasional one-off research needs
Value metrics scorecard
Time-to-Value
2-4 weeks
~30 days to first production value
Total Cost of Ownership
On request
Demo-led enterprise pricing; no public price list, plans or seat tiers published
Implementation Friction
3/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published
Add-on costs
- None
Company & support
Who is behind Listen Labs, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- Not recorded
How you get support
- PhoneNot listed
- EmailPlan not stated
- Live chatNot listed
- Support portal / ticketsNot listed
- Community forumNot listed
- Help centre / docsPlan not stated
- Dedicated account managerNot listed
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Not stated
Support via [email protected] and security issues via [email protected]. No support hours, response SLA or plan-level support tiers are published.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Listen Labs sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Listen Labs
- Iterable
- Smartly
- dLocal
- Nuvei
- Clari
Add or change companies
Up to 10 companies including Listen Labs. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Listen Labs ships in AI, and what it asks of your ecosystem.
AI features shipped
An AI moderator runs interviews with follow-up probing in 120+ languages; the platform drafts objectives and questions, auto-analyses responses (emotional signals, ranked choice, say/do gaps) and builds deliverables from highlight reels to boardroom-ready slides, with claims traced to real interviews.
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Anthropic
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Listen Labs runs AI-moderated qualitative research end to end: it drafts study objectives and questions, recruits from a 50M+ participant network or your own contact list, interviews at scale 24/7 in 120+ languages, and turns responses into boardroom-ready deliverables where every claim traces back to a real interview. Enterprises including Microsoft and Anthropic use it to run far more studies without adding headcount. Pricing is demo-led and not published.
Frequently asked questions
What does Listen Labs automate in a research study?
Four steps, per the vendor: drafting objectives, questions and probing context; recruiting qualified participants from a 50M+ global network or your own list; running interviews with an AI moderator that asks smart follow-ups 24/7 in 120+ languages; and producing deliverables such as highlight reels and boardroom-ready slides. Every claim is traced back to a real interview.
Do we have to use Listen Labs' participant panel?
No. The platform qualifies respondents from its own global network of 50M+ participants, including hard-to-reach and professional audiences, or you can run studies with your own list of contacts.
How is Listen Labs priced?
The vendor publishes no list pricing, plans or seat tiers; the site routes buyers to a demo booking and offers in-house research strategists as part of the engagement. Treat budgeting as a custom enterprise agreement and ask for pilot pricing plus participant-incentive and translation costs.
Is customer interview data used to train AI models?
Listen Labs' public pages do not state whether customer data or content is used to train or improve models, and no opt-in or opt-out language appears in the privacy material reviewed. Get this in writing from the vendor; the privacy policy's Security Measures section points to trust.listenlabs.ai for detailed security and sub-processor information.
Is there a documented API or an MCP server?
The documentation site publishes an API reference for Listen Labs, so programmatic access is documented. No MCP (Model Context Protocol) server is mentioned anywhere in the sources reviewed, so plan integrations through the REST API.
Which industries and roles use it?
The vendor lists consumer packaged goods, technology, e-commerce, healthcare, financial services and hospitality & travel among industries served, and consumer insights, brand marketing, product management, UX research, agencies and investors among the roles it supports.