·Comparison·Jerry Miller, Product at Minds

AI Customer Interviews: 11 AI-Moderated Tools Compared

AI customer interviews come in two kinds. AI-moderated tools such as Outset, Listen Labs, Conveo, Strella, GetWhy, Userology and Usercall put an AI interviewer in front of real participants and summarise the results. Simulated interviews in Minds question AI personas before you recruit anyone. Use simulated interviews to sharpen the guide and options, and AI-moderated interviews for the evidence.

AI customer interviews replace the moderator, not always the customer. Most tools in this guide put an AI interviewer in front of real participants: it asks your discussion guide, probes vague answers and summarises hundreds of sessions. One kind of tool, represented here by Minds, simulates the participants too, so you can rehearse the interview before recruiting anyone. Prices and figures below were checked on vendor pages on October 3, 2026 (as of October 2026). Minds is our product; we list it first because it does a different job, and say where the others are better.

Quick pick

If you need…PickWhy
To rehearse a guide and narrow options before recruitingMindsInterview simulated Minds and a whole Audience in minutes
Interviews in many languages with recruiting includedListen Labs120+ languages, 50M+ participant network
AI-moderated interviews plus digital twins in one toolOutsetReal interviews and simulated audiences, 40+ languages
Video interviews for consumer brandsGetWhy or ConveoVideo capture, study design and recruiting
A published price per interviewUserology20 USD per session
Voice interviews on a monthly planUsercallPlans from 89 USD a month with a 4M+ panel
AI moderation inside your UX research platformMaze or UserTestingAdd-on to existing testing workflows

11 tools compared at a glance

ToolParticipantsLanguagesStarting pricePanel
MindsSimulated MindsInterface language of the MindFree plan; Individual $59/month (pricing)Not applicable
Listen LabsReal120+ (source)Not published50M+ network or your list
OutsetReal, plus digital twins40+ (source)Not publishedRecruits in 85+ countries or your list
ConveoReal51 participant languages (source)Not publishedVia Respondent or User Interviews
StrellaReal46+ (source)Not publishedUp to 8M or your customers
GetWhyReal, video100+ (source)Typically 2,000 to 4,000 USD a study (source)300M+ via partners
UserologyReal40+ (source)20 USD per session (source)15M+
UsercallReal, voice25+ (source)Lite 89 USD a month (source)4M+
MazeRealAny, per vendor (source)Enterprise add-on (source)Panel plus your users
UserTestingRealEnglish in beta (source)Not published (source)6M+
VoxpopmeRealEnglish live interviews (source)Not published3.5M+

The 11 best AI customer interview tools

1. Minds

Best for: product, UX and marketing teams who want to test a discussion guide, a concept or a message on simulated customers before spending on recruiting.

Minds is the end-to-end platform for commercial synthetic research. You build an Audience of AI personas, called Minds, from a brief, public sources and your own research files. You can interview a single Mind in depth, or ask the whole Audience the same open questions and get the answers coded into themes with counts by segment. The same Study can show copy, landing pages, decks, concepts or Figma inputs where enabled, and add closed questions or MaxDiff, so the qualitative and quantitative read sit side by side.

Pricing: Free plan with up to 60 synthetic responses a month; Individual $59/month with 500; Team $99/month per seat with 4,000 per seat, pooled (pricing).

Published accuracy or validation: Minds scores each Audience against real published surveys or your own survey files, with a score out of 100 and a 95% range per survey. It does not publish a single accuracy number for interviews.

Watch out for: a simulated interview is not a customer's testimony. Use it to prepare and prioritise, then interview real people for the decision.

2. Listen Labs

Best for: research teams that need many languages and recruiting in one place.

Listen Labs runs AI-moderated interviews with real people, with smart follow-ups, "across 120+ languages", recruiting from a network of 50M+ participants or your own contacts (Listen Labs). It raised a 69 million USD Series B in January 2026 (PR Newswire) and Salesforce signed an agreement to acquire it on September 29, 2026 (Salesforce).

Pricing: not published.

Watch out for: packaging may change after the acquisition closes.

3. Outset

Best for: teams that want AI-moderated interviews and simulated audiences from one vendor.

Outset combines AI-moderated interviews with "simulated human data". It recruits participants from 85+ countries or lets you share a link with your own list, and supports 40+ languages (Outset, pricing). Outset raised a 30 million USD Series B in December 2025, bringing total funding to 51 million USD (GlobeNewswire).

Pricing: custom plans.

Watch out for: no published validation for its digital twins.

4. Conveo

Best for: consumer insights teams that want AI-led video interviews feeding a searchable knowledge layer.

Conveo's AI moderator interviews real people and stores the conversations as a queryable layer for every team (Conveo). It recruits through Respondent or User Interviews from inside the product (docs) and supports 51 participant languages.

Pricing: not published; the pricing link leads to a demo (source).

Watch out for: recruiting costs come from the third-party panel.

5. Strella

Best for: product and marketing teams that want interview insights in hours.

Strella uses AI to run in-depth interviews and generate insights "in just a few hours", with your customers or up to 8M participants from its panel, in 46+ languages (Strella). It raised a 14 million USD Series A led by Bessemer in October 2025 (PR Newswire).

Pricing: not published.

6. GetWhy

Best for: brand and marketing teams that want video interviews with study design and recruiting handled.

GetWhy designs the study, recruits participants and runs AI-moderated video interviews in 100+ languages (GetWhy). It says studies typically cost 2,000 to 4,000 USD, compared with 15,000 to 40,000 USD for traditional qualitative research (GetWhy).

Watch out for: that price comparison is the vendor's own.

7. Userology

Best for: product teams that want a published per-interview price.

Userology is an AI UX research agent that runs AI-moderated interviews in 40+ languages with a 15M+ user panel, listed at 20 USD per session (pricing).

Watch out for: check what the session price includes, such as recruiting and incentives.

8. Usercall

Best for: voice interviews across segments on a monthly plan.

Usercall runs adaptive AI-moderated voice interviews with a global panel of 4M+ consumer and B2B participants. Plans are Lite at 89 USD, Core at 199 USD and Pro at 399 USD a month, credit-based, in 25+ languages (pricing).

Watch out for: credits, not sessions, are the unit; model your volume first.

9. Maze

Best for: UX teams already running prototype and usability tests in Maze.

Maze's AI moderator "probes deeper when it matters" and is available as an add-on to Enterprise plans (Maze); paid plans start at 99 USD a month (pricing).

Watch out for: AI moderation is not in the entry plan.

10. UserTesting

Best for: enterprises that want AI follow-ups inside unmoderated think-aloud tests.

UserTesting's AI Moderation, in closed beta and English only, asks up to three follow-up questions after a participant's spoken answer (help center). UserTesting acquired User Interviews in January 2026 (BusinessWire).

Pricing: annual subscription through sales (plans).

11. Voxpopme

Best for: enterprise insights teams with video feedback programs.

Voxpopme offers AI-led voice interviews with a 3.5M+ participant panel (pricing); its FAQ says the AI Moderator currently supports English-only live interviews (Voxpopme).

Watch out for: check language support for non-English studies.

Also worth knowing

Perspective AI now positions itself as an AI concierge that turns forms into conversations; its human panel is marked "coming soon" (docs). To recruit participants for any tool, see User Interviews alternatives.

Simulated or AI-moderated: which do you need?

QuestionSimulated interviews (Minds)AI-moderated interviews
Who answers?AI personas grounded in sources you chooseReal recruited participants
Time to first answersMinutesHours to days, depending on recruiting
Cost driverSynthetic responses in your planPlatform fee plus recruiting and incentives
Good forDrafting and testing the guide, narrowing options, comparing segmentsEvidence, quotes, discovery of the unexpected
RiskPlausible but wrong answers for thin audiencesWeak guides at scale, fraud, small samples per segment

Most teams use both: rehearse in Minds, then send two or three sharpened questions and finalists to real people.

How we evaluated

We read each vendor's own product, pricing and help pages and press releases on October 3, 2026, and recorded who answers, languages, panel, published price and any published quality evidence. No vendor publishes an accuracy comparison between AI and human moderators, so we did not rank on interview quality. No vendor paid for placement. Minds is our product.

Limits: when not to use AI interviews

  • Do not rely on simulated interviews alone for a launch, a price or a claim; use real participants.
  • Use a human moderator for sensitive topics, vulnerable people, and complex enterprise buying conversations where rapport matters.
  • Check recruiting quality and fraud controls; an AI interviewer cannot fix the wrong participants.
  • Minds' limits: no recruited participants or eye-tracking; answers are simulated; Audience validation needs a fitting published or own survey, which is thin for niche B2B roles; validation is a paid-plan feature.

How to run a fair pilot

  1. Take one recent human interview study and its findings.
  2. Rerun the guide in one AI-moderated tool with 10 to 20 new participants.
  3. Run the same guide on a Minds Audience matching that population.
  4. Compare the themes each found, what each missed, and cost per insight.
  5. Decide which stage of your process each tool should own.

Related: qualitative research at scale, simulated customer interviews and best AI market research tools.

Frequently asked questions

What is an AI customer interview?

An interview where software, not a human moderator, asks the questions. In AI-moderated interviews the participants are real people who answer by voice, video or text while the AI follows a discussion guide and asks follow-ups. In simulated interviews, such as interviewing a Mind in Minds, the respondent is an AI persona.

What is the best AI-moderated user interview tool in 2026?

For global reach, Listen Labs (120+ languages, 50M+ participant network) and Outset (40+ languages, participants from 85+ countries). For video consumer research, GetWhy or Conveo. For a published per-session price, Userology at 20 USD a session or Usercall from 89 USD a month. For UX teams already on a platform, Maze or UserTesting add AI moderation.

How much do AI-moderated interviews cost?

Most vendors do not publish prices. As of October 2026, Userology lists 20 USD per session, Usercall plans start at 89 USD a month, and GetWhy says studies typically cost 2,000 to 4,000 USD. Recruiting and incentives come on top; Respondent lists 40 USD per B2C session and 80 USD per B2B session for recruiting alone.

Are AI-moderated interviews as good as human moderators?

They are consistent and scale to hundreds of sessions, and vendors report good follow-up questions, but no vendor in this list publishes a head-to-head quality comparison with human moderators. An AI moderator follows the guide you write, so a weak guide produces weak interviews at scale. Sensitive topics and senior B2B buyers still benefit from a human.

Can I interview AI personas instead of customers?

You can, as a first pass. In Minds you can interview individual Minds or ask a whole Audience the same open questions, then code the answers into themes. The answers are simulated and directional, so use them to sharpen the guide and the options, and check the Audience against real survey data before relying on it.