See where your customers give up before they actually do
Increase revenue, simulate your target customers and optimise conversion rates after every change.
PersonaQA forecasts customers behaviour, using a live browser - highlighting conversion decisions, surfacing friction, using evidence to build intelligence you can act on.
Built for SaaS, UX, E-commerce / DTC, CROs, SEO, marketing agencies, founders and product owners
No scripts, downloads or extensions
Works on staging / production
Executive Buyer (SaaS, Security Focussed)
yoursaas.com · 43 runs · Last: 12 mins agoFirst-Time Customer (Mobile)
yourwebsite.com · 18 runs · Last: 3 mins agoGuided Shopper (Impulsive)
yourshop.com · 21 runs · Last: 12 mins agoMobile UX Tester (iPhone 12, Bad Signal)
yourshop.com · 59 runs · Last: 2 mins agoTeams using PersonaQA fix
conversion issues 3× faster.
Know why customers will leave.
Then prevent it.
Generic AI tools read your source code. PersonaQA is a behavioural forecasting engine — simulating 20+ distinct customer perspectives in a real browser to predict conversion outcomes, surface trust gaps, and generate customer intelligence that static analysis cannot.
Your website doesn’t break all at once, it degrades over time.
We show you when it happens and why.
Early detection catches 90% of UX issues before launch
Research from the Nielsen Norman Group shows that 85% of usability problems are found by testing with just 5 user archetypes.
PersonaQA applies that principle at scale, testing your site through 20+ distinct customer perspectives in minutes, surfacing friction, trust gaps, and conversion blockers across the full journey.
Real journey. Real behaviour. Real insights.
See your customers' thoughts step by step.
Real journeys, not snapshots
See exactly where users hesitate, go the wrong way, or give up.
Clear conversion outcomes
Know whether a persona would convert or abandon - and why.
Track sentiment + changes over time
Spot when something gets worse after an update or before a release.
Multiple customer perspectives
Different types of users experience different problems.
The human reasons behind conversion problems
The behavioural forecasting layer used by product teams, agencies, and CRO specialists to predict customer outcomes before launch.
Choose a Persona
Pick from a growing library of customisable AI personas — first-time customer, executive buyer, mobile shopper, and more.
Run a Test
Enter your URL and go. Our AI browses your site in real time through that persona’s eyes — like a real customer with the personality traits you define.
Get Actionable Feedback
Receive page-by-page feedback, scored metrics, sentiment regression and prioritised recommendations that you can act on immediately.
Built by a team with 15+ years in conversion optimisation, UX research, and browser automation. Trusted by agencies, SaaS teams, and e-commerce brands across 12 countries.
It's a new QA layer -
built for the workflow you already follow.
When to run it
Before a launch
Scan the launch page the day before activation. Catch the broken link, the unclear CTA, the missing size guide — before the ads start.
After an update
An update quietly broke your mobile checkout three months ago. Nobody noticed. Run a scan after every significant change and see what moved.
When conversion drops
Your analytics show the drop. Your session recordings show the scrolling. Neither tells you what feels off. A scan takes 5 minutes and names the problem.
Landing pages
Point it at any URL — paid landing page, funnel step, or one-off promo. Get a structured report in minutes without adding a domain.
Catch emotional regression.
It’s a common problem that goes silently unnoticed —
Normal QA passes ✅
Your analytics look fine ✅
But customers still leave.
Traditional QA catches broken code. Analytics tell you what happened, but neither tells you why a customer lost trust, got confused, or gave up.
That’s the intelligence gap PersonaQA fills.
There are no scripts to write or maintain, and you can continue to track even subjective and emotional regressions with every update you ship.
What a single run delivers.
Every run produces a structured report with scored indices, a customer verdict, behavioral analysis, and prioritised actions — ready to share with your team or feed into your sprint backlog.
I was interested in the product but couldn’t find size guidance, delivery timeframes, or real customer reviews. Without those trust signals I wouldn’t risk purchasing from a brand I don’t know yet.
Mobile trust signals are weak — reviews are buried below three sections of brand story, size guidance is absent, and delivery timeframes are unclear. These three gaps likely drive significant cart abandonment from first-time buyers who don’t yet trust the brand.
Intent collapsed at step 4 (product page) when social proof wasn’t visible above the fold.
“I wanted to check reviews before buying but they’re buried below three sections of product story. I almost left.”
“Is 30ml a month’s supply? Two weeks? Without size guidance I can’t evaluate value for money.”
“On mobile, the Shop Now CTA sits above my thumb zone. I had to reach with two hands.”
Each page has its own detailed feedback card with per-page scores and persona commentary.
Runs compound into domain intelligence.
Each run adds to a living picture of your site’s UX health across every perspective.
Sentiment Trends
Track trust, conversion, and friction scores over time. Spot regressions instantly.
Page Hotspots
See which pages cause friction across multiple personas and runs.
Regression Alerts
Know immediately when an update breaks trust, clarity, or conversion readiness.
Cross-Persona View
Compare how different customer types experience the same pages.
Existing tools diagnose problems after they happen.
Customer simulations prevent issues ahead of time.
By the time you see your data from Google Analytics or Hotjar, the customer has already left, the sale is already lost, and you’re reverse-engineering the reason from breadcrumbs.
Reactive: What you have now
- Heatmaps & session replays show you where users clicked — but not why they hesitated, lost trust, or abandoned.
- Analytics dashboards tell you bounce rate went up — but not that your pricing page confused a first-time buyer.
- User testing panels are expensive, slow, and give you 5 opinions that may not represent your actual audience.
- A/B testing requires live traffic, takes weeks, and still doesn’t explain the emotional “why” behind the numbers.
Every one of these requires real customers to fail first. You’re paying for insights with lost revenue.
Proactive: What PersonaQA does
- AI personas browse your site in a real browser, thinking out loud about what confuses, frustrates, or builds trust.
- You get the “why” instantly - not a click coordinate, but “I couldn’t find pricing and I don’t trust the checkout flow.”
- Test before launch - run against staging, preview URLs, or production. No live traffic needed.
- Repeatable & trackable - run the same persona weekly and measure how sentiment shifts with every change you ship.
Find conversion killers, trust gaps, and UX friction before a single real customer encounters them.
What happens on a PersonaQA 'run'?
AI agents browse your site in a real browser, each evaluating UX, trust, and conversion from the perspective of a specific customer type. Confusing nav, missing trust signals, broken flows — caught before a real customer struggles through them.
Think of it as a first-pass filter — catching ~90% of what you need to refine, so you can focus on the 10% only real feedback can surface.
Track how customers feel — not just what they click
Every run scores your site across 6 indices. Run regularly and catch regressions before your customers do.
See the impact of every change you make
Run tests regularly and get a timeline of sentiment. New pricing page? Watch Conversion Readiness shift. Broke something in a deploy? Technical Health drops immediately.
Sentiment Over Time
yourwebsite.com · Last 30 days/checkout. Performance Smoke flagged LCP regression to 3.8s.The bigger picture, built automatically.
As you run more tests, PersonaQA aggregates results into a domain-level overview — so you see patterns, not just individual runs.
Before & After, Quantified
Stop guessing if that redesign helped. Run a scan before and after any change and see exactly which scores moved and by how much.
Automated Regression Alerts
Schedule tests on a cadence. When a score drops below threshold or declines across consecutive runs, you’ll know immediately.
Stakeholder-Ready Reports
Show your team or clients concrete numbers: “Trust went from 2.8 to 4.1 after adding reviews.” No opinions — data.
It doesn’t replace anything. It fills the gap.
You already have tools for attribution, heatmaps, and ad spend. None of them tell you what a first-time visitor actually thinks when they hit your page.
Your attribution stack
GA, Mixpanel, Amplitude — great at tracking what happened after the fact.
- Tells you what customers bought — not what made them hesitate
- Only looks backward at past behaviour
- Needs real traffic before you learn anything
Your heatmaps
Hotjar, FullStory, Clarity — useful for seeing where users clicked and scrolled.
- Shows you where they moved — not why they stopped
- Only looks backward at recorded sessions
- Needs real visitors to generate any data
PersonaQA
AI personas browse your site and tell you what confuses, frustrates, or builds trust.
- Tells you why they hesitated — in their own words
- Catches problems before launch — no live traffic needed
- Works on any URL, instantly — staging or production
Not another monitoring tool.
Monitoring tells you what broke. User testing takes weeks. PersonaQA tells you why customers leave — in minutes.
| Manual QA | Monitoring | User Testing | A/B Tools |
|
|
|---|---|---|---|---|---|
| Real customer simulation | |||||
| Checkout & signup flow testing | |||||
| UX & design quality evaluation | |||||
| Mobile responsive evaluation | |||||
| Trust & conversion signal analysis | |||||
| Sentiment regression over time | |||||
| Technical audits (a11y, perf, SEO) | |||||
| Results in minutes, not weeks | |||||
| No scripts to write or maintain |
Simple pricing that scales with usage.
We won't lock you into a long contract - cancel any time. Save 20% when you subscribe annually.
Starter
Great for individuals and small businesses getting started
- 50 tests/month
- 10 pages per test
- 5 domains
- 13 AI personas included
- Scheduled automated tests
- Customised personas
Professional
Perfect for growing teams and agencies managing multiple sites
- 200 tests/month
- 20 pages per test
- 20 domains
- 20+ AI personas included
- Scheduled automated tests
- Customised personas
- Build your own personas
- Priority customer support
Business
For established businesses and agencies with high testing demands
- 600 tests/month
- 30 pages per test
- Unlimited domains
- 20+ AI personas included
- Scheduled automated tests
- Customised personas
- Build your own personas
- Priority customer support
- First access to new personas
Frequently asked
questions
Everything you need to know about PersonaQA and how it works.
Try It FreeWhy not just ask ChatGPT / Claude etc. to “review my website”?
AI chat tools can interpret content but don’t run structured, repeatable tests in a real browser. PersonaQA uses full browser automation to simulate real journeys, capture screenshots, log errors, track performance, and collect structured telemetry. AI can read a website like a menu — PersonaQA can directly interact, test, measure, and compare it over time like a real user would.
How reliable are AI-simulated user tests?
PersonaQA surfaces directionally accurate friction signals — the same class of insight you’d get from user testing panels, but in minutes instead of weeks. Teams use it as a hypothesis layer: it identifies where users are likely to hesitate, lose trust, or abandon, so you can prioritise fixes and validate with real data. Most customers report catching 3–5 high-impact issues per run that analytics alone would never explain.
What does PersonaQA actually test?
PersonaQA runs three types of tests: behavioural simulation (AI personas navigate like real users), guided flow testing (mission-based scenarios like signup or checkout), and technical validation (accessibility, performance, console errors, security headers, SEO).
How is this different from Selenium or Playwright?
PersonaQA provides both technical and subjective feedback with no scripts to write or maintain. Our AI agents adapt to your UI automatically and can adopt personality traits that you define. Provide a URL, choose a persona, and get a structured report — no brittle selectors or test maintenance.
Can I test on staging before production?
Yes. PersonaQA works on any accessible URL — staging, preview deployments, or production. Many teams run it after every deploy.
How long does a test run take?
Most runs complete in 2–5 minutes depending on the persona and number of pages analysed. You get real-time progress updates during the run.
Do I need to install anything?
No. PersonaQA is a hosted service. Just sign up, provide a URL, and start a test run from your browser. No agents, extensions, or CLI tools required.
Ready to see your site through your customers' eyes?
Start your first AI-powered test run in under 2 minutes.