Conversion Optimization

Your Reviews Already Said It.
You Just Haven't Read Them All.

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.

Themes & Sub-Themes: Every review clustered into a primary theme and a fine-grained sub-theme, with click-to-drill into the exact quotes.
VoC, Split Three Ways: Likes, Persuasion Points, and Objections — the exact phrases ready to paste into ads, emails, and landing pages.
Multi-Source & Competitor: CSV, in-app surveys, Google, TrustPilot, TripAdvisor — yours and your competitors', side-by-side.
Verbatim-Sourced & Exportable: Filter by theme, rating, or question. Export the filtered set as CSV. Re-run anytime without re-importing.

Trusted by teams at

Adventures AbroadAdventures Abroad
Bear Country MetalworksBear Country Metalworks
JackezJackez
Anderson VacationsAnderson Vacations
EduWorld ToursEduWorld Tours
Magic Yacht ChartersMagic Yacht Charters
Big D InternationalBig D International
and more...

Your Customers Are Telling You Exactly What They Want. You're Just Not Catching It.

You've got reviews. Maybe dozens. Maybe thousands. They're scattered across Google, TrustPilot, TripAdvisor, your in-app survey, and a CSV export your VA pulled six months ago. You've read a handful, starred the good ones, cringed at the bad ones — and you're still guessing at your messaging because reading reviews one-by-one doesn't reveal patterns. It buries them.

What most people do

"I'll skim our latest Google reviews and pull a few quotes for the homepage..."

Cherry-picked testimonials. Confirmation bias. You find what you expect and miss what matters — the quiet frustrations, the unspoken desires, the words that would make your next ad campaign resonate.

Survey Analysis

Themes & Sub-Themes VoC Trio Competitor Benchmark

Every review analyzed. Themes and sub-themes clustered. Likes, Persuasion Points, and Objections separated. Competitor reviews tagged side-by-side. You walk away knowing what your customers care about — and the exact words they used to say it.

Four Layers the Report Hands You

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.

Themes & Sub-Themes

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.

Voice of Customer Trio

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.

Sentiment & Confidence

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.

Competitor Benchmark

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.

From Scattered Reviews to a Sourced VoC Report in Four Steps

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.

1

Pick Your Sources

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).

2

AI Reads Every Response

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.

3

Voice of Customer, Split Three Ways

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.

4

Filter, Drill Down, Export, Re-Run

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.

What Sits Inside the Report

A structured report — not another dashboard of charts — that tells you what your customers think and what to change in response.

Themed Insight Report

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.

Voice of Customer Trio

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.

Verbatim Drill-Down

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.

Filters & Question Switcher

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.

CSV Export of Filtered Reviews

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 & Refresh Responses

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.

Plugs Into the Rest of Your Research Stack

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.

Feeds Conversion Research

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 Research

Grounded in Your Knowledge Base

Brand 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 analysis

Closes the Loop with Survey Builder

Use 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 Builder

The Crossroads: Keep Skimming or Start Listening

You 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.

Without Survey Analysis

  • Skimming reviews and cherry-picking quotes that confirm what you already believe
  • Writing marketing copy based on what you think customers care about
  • Missing recurring objections buried across hundreds of reviews
  • Guessing at how your themes compare to competitors you've never benchmarked against
  • Paying a research firm $5,000+ for a Voice of Customer study you'll never re-run

With Survey Analysis

  • Themes and sub-themes ranked by volume, every claim sourced to the verbatim quote
  • VoC split into Likes, Persuasion Points, and Objections — copy-paste straight into ads and landing pages
  • Competitor reviews pulled and tagged side-by-side so you can see where you actually win
  • Re-run anytime against the same reviews, or refresh in-app survey responses without re-importing
  • Findings flow straight into Conversion Research and the Copywriting Brief generator

Simple, Transparent Pricing

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

Import from CSV, in-app surveys, Google, TrustPilot, or TripAdvisor
Optional competitor benchmarking (1,000–100,000 reviews per run)
Themes + sub-themes, sentiment, and the VoC trio (Likes / Persuasion / Objections)
Filter, drill down to verbatim quotes, export the filtered set as CSV
Per-team monthly cap tied to your tier — usage meter and reset date visible in-app, with a clear upgrade path when you hit it

Frequently Asked Questions

The questions teams ask before they trust an AI to read their customers.

Drop In the Reviews. Get the VoC Report by Lunch.

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.