AI-Powered Survey & Review Analysis
Pull reviews from CSV (any layout), in-app surveys, Google, TrustPilot, TripAdvisor, or your competitors' listings. Get themes, sub-themes, sentiment, and Voice of Customer split into Likes, Persuasion Points, and Objections — every claim linked back to the verbatim quote, so you can audit the source in one click.
I was ready to switch but the per-seat price for our 12-person team adds up fast.
Setup fee on top of monthly felt like a bait-and-switch after the demo.
Could you do a discount on annual? Otherwise we'll stay where we are.
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Reading one review tells you what one person thinks. Analyzing all of them at once — yours and your competitors' — tells you what the market is asking for.
Every review clustered into a primary theme and a finer sub-theme. The Theme Distribution chart ranks them by volume; click any bar to drill into the exact reviews behind it.
The same reviews split into Likes, Persuasion Points, and Objections — each backed by every single quote that voiced it, so you know how widely it shows up before you put it in an ad.
A sentiment pie shows positive / neutral / negative split per theme. A confidence badge on the total tells you whether you have enough reviews for the patterns to be trustworthy or directional.
Toggle on competitor reviews and the same Google, TrustPilot, and TripAdvisor pull runs against every competitor on the project. Filter the review feed by domain to see exactly where you out-rank them and where you don't.
Point the AI at your sources and a job that would take an analyst a week finishes in under five minutes — without the manual tagging or the spreadsheet pivot tables.
Upload a CSV (the column mapper handles any layout — pick one or several review-text columns to keep multiple open-ended questions separate), connect an in-app survey from the Survey Builder, or pull Google, TrustPilot, or TripAdvisor reviews. Toggle competitor benchmarking on to grab the same sources for every competitor on the project (1,000–100,000 reviews per run).
No skimming, no sampling. The AI reads every review, clusters them into themes and sub-themes, tags sentiment, and grounds the analysis in your project's Knowledge Base (brand guides, ICPs, prior research). Each theme records the exact reviews and KB docs it came from.
On top of themes, the AI splits the language buyers use into three buckets: Likes (what's working), Persuasion Points (the things that pushed them to buy), and Objections (the friction). Click any item to see every review that voiced it.
Filter the report by domain, theme, sub-theme, star rating, and question. Download the filtered set as a CSV for your team. Re-run the AI on the same reviews after a model update, or hit Refresh to pull new in-app responses since the last run — both respect your team's monthly cap.
A structured report — not another dashboard of charts — that tells you what your customers think and what to change in response.
Theme list ranked by volume, with sub-themes nested underneath and a sentiment badge on each one. Click any theme to drill into the verbatim reviews and see the sub-theme split.
Three tabs of buyer language: Likes (what's working), Persuasion Points (what tipped them over), Objections (the friction). Each item lists every review that voiced it — copy lines straight into ads, emails, and landing pages.
Every theme, sub-theme, and VoC point is one click from the exact reviews behind it. The AI never asks you to trust a summary — the source is always one tap away, with the page URL, rating, and source platform attached.
Filter the review feed by domain, theme, sub-theme, and star rating. If your import had multiple open-ended questions, switch between them at the top of the report or view all combined. Click any theme tag on a review to drill straight in.
Download the currently-filtered review set as a CSV with theme, sub-theme, rating, source, and page URL attached to every row. Hand it to your copywriter, paste it into your ad builder, or drop it into a campaign brief.
Re-run AI Analysis re-processes the existing reviews (handy after a model update) without paying for collection again. Refresh Survey Responses pulls new in-app survey answers since the last run and re-analyzes the combined set. Both respect your team's monthly cap.
Survey Analysis isn't a stand-alone widget. It's the VoC layer the rest of your CRO tools read from — and the one your in-app surveys feed back into.
Run a survey/review analysis, then queue an Automated Conversion Research run on the same project. The Findings, Hypotheses, and Copywriting Brief generators automatically pull in your latest themes, VoC trio, and verbatim quotes — so the recommendations are grounded in what your buyers actually said, not a generic best-practices list.
See Conversion ResearchBrand guidelines, ICP docs, prior CRO research — whatever lives in your project's Knowledge Base feeds the same AI that runs the analysis. Themes and VoC items show which KB docs they were grounded in, so the report stays aligned with your brand voice and prior findings instead of drifting into generic territory.
Built into every analysisUse the Survey Builder/Drafter to ship a new on-site survey, collect responses in-app, and route them straight back into Survey Analysis — pick which question IDs to include, run the analysis, hit Refresh next month to pull the new responses. No CSV exports, no copy-paste between tools.
See Survey BuilderYou have two paths. Keep reading reviews one at a time, pulling out whatever catches your eye, hoping you haven't missed something important. Or let the AI read all of them — yours and your competitors' — and hand you the patterns you'd never see on your own.
You see the credit cost and the monthly cap before you run the analysis. No surprises, no silent overages.
1
credit per response
+ 1,000 credits for AI analysis
The questions teams ask before they trust an AI to read their customers.
CSV, in-app surveys, Google, TrustPilot, TripAdvisor, and your competitors — analyzed in one report. Themes, sub-themes, sentiment, and Voice of Customer split into Likes, Persuasion Points, and Objections, with every claim sourced to the verbatim quote it came from.