Listen Labs vs. Versive: AI research platforms compared

Compare Versive and Listen Labs on question types, study design, AI moderation, usability testing, analysis, recruiting, and pricing.

Versive gives teams a self-serve way to evaluate autonomous AI moderation before a sales conversation, with a free trial and published plans. Its text, voice, and video studies combine AI follow-ups with 20+ structured question types, and separate AI Tests use AI personas on Figma prototypes, live websites, and images. An embed SDK, an Enterprise REST API, and an MCP server connect studies and results to products and existing tools.

Listen Labs is built for continuous interview programs, with a verified respondent network, enterprise reporting, emotion analysis, and a cross-study knowledge base. It uses subscription-plus-credit pricing without a standard public plan card; smaller organizations can access self-serve, while larger organizations typically enter through a demo and pilot.

What Versive does

Versive covers two product lines on one platform.

Studies are AI-moderated surveys and interviews with real participants in text, voice, or video. A study can combine AI conversational questions with 20+ structured types, including NPS, rating and matrix scales, star ratings, ranking, allocation, card sorts, prototype tasks, and media upload. Follow-up depth and duration are configurable per conversational question. Studies also support conditional branching, screen-out logic, quotas, device enforcement, and AI translation into up to 20 languages. The AI interviewer supports configurable personality, guidelines, question rephrasing, and a quality mode for deeper probing.

AI tests run usability tests with AI personas instead of recruited participants on Figma prototypes, live websites, and uploaded images. For website tests, the AI completes tasks on the live site in a real browser. Modes include dynamic interviews and heuristic evaluation against Nielsen's 10 heuristics or your own, with optional SUS questionnaires. Personas carry goals, friction points, and psychometric profiles, can be generated from your real research data, and are reusable across tests.

Versive's product lines share a workspace and credit allowance but use different result views. Studies provide themes, sentiment, attributed quotes, charts, and PDF or CSV exports. AI tests provide per-run transcripts and screenshots, aggregated recommendations, and PDF export. For developers, Versive ships an embed SDK, an MCP server, and an Enterprise REST API.

What Listen Labs does

Listen Labs is an AI-led interview platform aimed at replacing surveys, focus groups, and manually moderated interviews with automated conversations. Its AI moderator conducts qualitative interviews over video, audio, or text and supports concurrent sessions. It raised a Series B in early 2026, with backers including Sequoia, and serves enterprise customers.

The workflow covers setup, recruiting, moderation, and analysis. AI drafts objectives, questions, and probing context from your research goals, with automated QA that flags issues before launch. Recruiting runs through a verified network assembled from panel partners and a proprietary database, alongside bring-your-own-participant options. Its fraud detection monitors interviews in real time across video, voice, content, and device signals.

The research agent turns findings into decks, memos, reports, and highlight reels in branded templates. The platform also analyzes emotional signals such as voice tone and facial expressions alongside what participants say. A cross-study knowledge base lets teams ask questions across their research library. Listen Labs documents broad multilingual support and states SOC 2 Type II, GDPR, and CCPA compliance plus ISO certifications.

Head-to-head

Question types and interview design

Both platforms run AI-moderated interviews in text, voice, and video without requiring a human moderator for each session. Listen Labs documents concurrent sessions, emotion detection from tone and facial expressions, and real-time fraud monitoring.

Versive lets researchers set the moderator's personality and behavioral guidelines, cap follow-up depth per question, and constrain or disable question rephrasing when exact wording matters. Its question library also covers specialized methods that Listen Labs does not publicly document, including card sorts, tree tests, conjoint, drag-and-drop ranking, point allocation, prototype tasks with goal frames, and website tasks. A single Versive session can combine those methods with conversational AI questions, NPS, rating scales, matrices, and media upload. See survey question types, and when to use each for the full set.

Recruiting

Listen Labs documents a verified respondent network assembled through panel partners and its proprietary database, with quality controls that screen out fraudulent and low-effort participants.

Versive recruits four ways: share links to your own audience, email outreach, embedding interviews directly in your product via the SDK, and integrated Prolific and Respondent recruiting. Screeners, quotas, and incentive management are built in. In-product embedding can recruit your own users in the context of the behavior being studied. More in how to recruit research participants.

Analysis

Listen Labs' analysis layer is aimed at enterprise insight teams. Its research agent produces slide decks, memos, and highlight reels, along with emotion analysis and a knowledge base that spans completed studies. These outputs are relevant when research must be packaged for executive audiences.

Versive's analysis is built for teams that act on research directly: themes with quote attribution and timestamps, sentiment and quality scoring per response, fraud detection, auto-generated charts for quantitative questions, custom insight prompts when you want your own analysis views, video clips, and PDF and CSV export. Both platforms automate synthesis; they differ in the shape of the output.

Breadth: AI tests

Listen Labs supports Figma and other prototype stimuli plus screen-recorded usability sessions with real participants. Versive adds a separate testing product: AI personas evaluate Figma screens and complete tasks on live websites, producing screenshots, transcripts, heuristic evaluations, and prioritized recommendations.

AI tests can be sequenced before recruited research to identify potential problems, but real participants should validate consequential findings. The two product lines share credits while retaining result views suited to each method. For the limits of AI personas, read what are synthetic users, and when should you trust them?

How each is sold

As of August 2026, Listen Labs does not publish a standard plan card. It describes subscription-plus-credit pricing, with self-serve access for smaller organizations and demo-led pilots for larger ones. Versive offers self-serve signup with a free trial, published paid plans, and enterprise plans with SSO and custom limits. Neither model is wrong, but they change how quickly a team can evaluate each product.

Why teams choose Versive

Versive may fit if:

• You need published pricing and self-serve evaluation. Versive publishes its plans and provides a free trial.
• You need card sorts, drag-and-drop ranking, point allocation, or prototype tasks inside the same AI-moderated session. Listen Labs also documents NPS, Likert, sliders, grids, and MaxDiff alongside open-ended interviewing.
• You want to use AI personas for directional prototype and live-site feedback before real-participant validation.
• Your participants are often your own users. The embed SDK presents interviews inside your product, and the MCP server and Enterprise REST API connect results to your stack.
• You need SOC 2 Type 2 and documented US or EU deployment regions; confirm region eligibility for the plan you are considering.

When to consider Listen Labs

Listen Labs may fit if:

• You are an enterprise insight team running continuous interview programs, and a sales-led procurement process fits how you buy.
• Emotion analysis from tone and facial expressions matters to your research questions.
• Your deliverable is the deck: you want an AI agent that produces branded presentations, memos, and highlight reels, and a cross-study knowledge base for your whole research history.

For additional vendors, see AI-moderated interview platforms, compared.

How to evaluate

Use Versive's trial and Listen Labs' self-serve access, demo, or pilot to field one matched short study. Compare transcripts and follow-up behavior rather than relying on feature lists.

Sources and methodology

Listen Labs claims were checked against its current documentation, recruiting documentation, API documentation, and security overview. Versive claims link to the relevant documentation throughout this page.

Information is based on publicly available vendor documentation as of August 20, 2026. Features, availability, and pricing may change.