How do their growth rates compare?

MagicLoop has a month-over-month growth rate of 0%; Versive has +56.8%.

How does pricing compare?

MagicLoop: Free Trial, Paid, Contact for Pricing. No public price list. The company highlights free discovery, and reachable product tiers are a free trial plus paid or custom-quoted plans; pricing is discussed directly with the team. Versive: Freemium. Freemium with a paid tier and enterprise option. The Free plan costs $0 with no credit card and includes 100 survey responses per month, up to 20 questions per survey, one seat, and MCP access, but no AI-moderated interviews or AI tests. Pro is listed at $99 per month billed annually with a 14-day free trial and provides 240 AI-moderated interviews or AI tests per year, 6,000 survey responses per year, 40 questions per survey, two seats, plus the insights assistant, AI personas, and MCP access. Enterprise is custom-priced with custom volumes and seats, SSO, SOC 2 controls, API access, invoicing, and dedicated support. Panel recruitment is billed separately.

What are alternatives to MagicLoop and Versive?

Other tools in related categories include Fireflies.ai, Elicit, Listen Labs, Outset.ai, BlockSurvey.

MagicLoop vs Versive — Traffic (0 vs 20.38K), Pricing & Verdict

Open AI Tools

MagicLoop vs Versive — Traffic (0 vs 20.38K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	MagicLoop	Versive
Official Domain	magicloop.co	getversive.com
Pricing Model	Free Trial, Paid, Contact for Pricing	Freemium
Monthly Visits	0 (0)	20.38K (20,376)
MoM Traffic Delta	0 (0%)	+7.39K (+56.8%)
Primary Market & Share	🌐 Global (—)	🌐 Global (—)
Direct Visits / mo	0	5.44K
User Rating	4.2	4.3
Supported Platforms	Website	Website

MagicLoop

Voice-first surveys that turn open-ended customer talk into decisions

Voice-based surveys

Collect spoken answers from customers and prospects instead of long multiple-choice forms, capturing nuance in the respondent's own words.

Automatic AI processing agents

AI agents handle transcription and turn large volumes of open-ended spoken responses into structured, analysable results.

Built-in user research expertise

Methodology for structuring studies, asking the right questions and interpreting qualitative findings is part of the service.

Revenue, churn and lead qualification focus

Research is framed around commercial outcomes — growing revenue, spotting churn risk early and qualifying leads more accurately.

Strengths & Pros

+Voice input yields richer, more spontaneous answers than rigid forms
+AI processing agents reduce the manual effort of analysing open-ended responses
+Research methodology is bundled with the tooling rather than left to the customer
+Positioned around measurable commercial outcomes like revenue and churn