Generate surveys from a prompt. Ask adaptive follow-ups on every response. Get themes, sentiment, and executive summaries automatically. The only AI survey tool where AI isn't a bolt-on. It's the product.
There's a big difference between 'we added an AI question generator' and 'our platform uses AI end-to-end.' Here's how to tell them apart, and where Revuloop sits.
A static tool would end at the first answer. Revuloop keeps asking, and the analysis layer consolidates what it hears across every respondent.
Would you recommend our product to a friend? (0–10)
Generation, adaptation, analysis, and agent integration. Each one would be a feature on its own. Together they turn a survey tool into a feedback operating system.
Describe your goal in one sentence. Revuloop generates the questions, types, and logic in seconds, no blank-page paralysis, no template hunting.
Every response triggers 2–4 context-aware follow-up questions. Respondents feel interviewed; your data gets interview-quality depth at survey scale.
Themes, sentiment, root causes, and executive summaries generated automatically from open-text responses. No CSV exports, no manual tagging.
Per-session quality scoring, emotional journey tracking, and sentiment trend detection across the full conversation, not just the final answer.
Install the Revuloop MCP server in Claude Desktop, Cursor, or n8n. 30+ tools expose surveys, responses, and analytics to your AI agents natively.
Templates tuned for AI analysis, question wording designed to produce rich open-text that the analysis layer can actually extract insight from.
The AI sticker on a pricing page gets you past the evaluation meeting. These differences show up the moment you start running real surveys.
Most 'AI survey tools' are 2015 form builders with a GPT wrapper. Revuloop's adaptive follow-ups, analysis pipeline, and MCP server were designed as one system.
Free plan: 200 one-time tokens. Pro: 2,500/mo + 1,000 bonus. Business: 7,500/mo + 2,000 bonus. No surprise metered billing, no per-call AI tax.
Background analysis pipeline processes large surveys in four phases (aggregation, chunk analysis, synthesis, finalization), so quality holds at 100 or 10,000 responses.
The MCP server ships 30+ tools. Claude can launch a survey, Cursor can pull responses, n8n can kick off analytics, without you writing an integration.
Adaptive follow-ups produce interview-quality transcripts for every respondent. The depth researchers used to get from 1:1s, at the volume of a survey.
Stop exporting to spreadsheets. Themes, segments, and recommended actions are ready by the time the survey closes.
Start free with 200 AI tokens. Generate your first AI survey in under a minute, ship it, and let the adaptive follow-ups do the real work.
Four things that work together: (1) AI generates the survey from a prompt, (2) adaptive AI asks 2–4 follow-up questions on every response, (3) an analysis pipeline extracts themes, sentiment, and root causes automatically, and (4) an MCP server exposes all of this to AI assistants like Claude and Cursor. Most tools that call themselves 'AI survey tools' only do one of these: usually (1).
No: all AI features (AI-assisted survey generation, adaptive Smart Surveys, AI analytics) are available on the free plan with your 200 one-time AI tokens. The free plan caps you at 1 active Smart Survey at a time. Pro ($49/mo or $539/yr: 2,500 tokens/mo + 1,000 bonus) and Business ($149/mo or $1,639/yr: 7,500 tokens/mo + 2,000 bonus) remove the active-Smart-Survey cap and add monthly token allocations.
Typically 2–4 adaptive follow-ups per respondent, depending on the depth of the initial response and the configuration of the Smart Survey. The AI decides dynamically whether more depth is worth asking for, based on the response content.
MCP (Model Context Protocol) is the standard AI assistants like Claude Desktop, Cursor, Windsurf, and n8n use to talk to external tools. Revuloop's MCP server ships 30+ tools covering surveys, responses, analytics, smart surveys, and webhooks. Install it if you want your AI assistant to query or act on your surveys directly.
The background analysis pipeline runs in four phases: aggregation (grouping text responses into chunks of 50), chunk analysis (extracting themes and patterns per batch), synthesis (merging chunk results into a cohesive view), and finalization (storing results and deducting tokens). This keeps quality consistent whether you have 100 responses or 10,000.
The AI generates a starting point, not a final draft. Every question is editable, reorderable, and you can add, remove, or rewrite anything. Think of it as a senior researcher giving you a first cut in 30 seconds instead of 3 hours.
Revuloop uses OpenAI models for generation and analysis (including GPT-4o-mini for chunk analysis and synthesis in the background analytics pipeline).