AI-supported A/B tests
per prompt. In seconds.
Describe your hypothesis in natural language - the AI generates variants, writes the code and starts the experiment directly on your site. Prompt-based experimentation makes A/B testing as fast as a chat message.
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Tests take too long.
And cost too much.
Idea → Briefing → Design → Dev → QA → Launch: Weeks pass before a single A/B test goes live. Every test ties up developer capacity - and without AI support, this quickly becomes expensive.
Ø 2-4 weeks per test
Weeks pass between the initial briefing and the go-live. Hypotheses gather dust in the backlog because manual implementation is too time-consuming - this is exactly where AI-supported A/B testing comes in.
Expensive due to dev dependency
Every test requires developer resources - be it for front-end changes, QA or deployment. This costs time and money that is lacking elsewhere.
Describe your hypothesis.
The AI builds the test.
Formulate your idea in natural language - the AI creates a testable variant that you can iteratively adapt using a prompt. If required, you have direct access to the generated JavaScript to save developers time.
Formulate promptly
Describe your idea in natural language - no technical details necessary, the AI understands your optimization idea immediately.
›AI creates the variant
Varify generates a variant including code. You can refine it iteratively using the prompt - or switch directly to JS.
›Experiment starts immediately
Check, release, live - your AI-generated experiment runs in under 2 minutes. GA4 tracking is configured automatically.
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Your site, AI-analyzed.
Priorities delivered immediately.
Varify automatically scans your most important pages for conversion barriers - and delivers a prioritized list of optimization points, directly as testable hypotheses for Prompt Based Experimenting.
Immediate hypotheses
Each finding is a testable hypothesis - one click starts the experiment directly via Prompt Based Experimenting.
10,000+ test patterns
Recommendations are based on CRO patterns from real experiments - not generic tips.
Prioritized by impact
Severity + estimated CVR uplift - you know immediately which test you should start first.
CTA below the fold on 68% mobile devices
The „Add to cart" button is not visible on the most commonly used viewports (375×667, 390×844) without scrolling. Test sticky CTA or position shift. Potential: +12-18% Mobile CVR.
No trust signal in the buy box area
Neither the seal of approval nor the number of ratings are placed in the visible purchase area. Test Trusted Shops badge + star snippet directly next to the price.
No urgency element despite limited product
Product name contains „Limited Edition", but availability and remaining quantity are not communicated. Test stock display or countdown.
CTA button contrast under WCAG AA on mobile
Blue button (#2563eb) on light background - contrast ratio 3.8:1 instead of min. 4.5:1. Test darker tone or larger font.
Product images without zoom on desktop
High-resolution images available, but no hover zoom or lightbox activated. For fashion products, zoom increases the dwell time by Ø 15%.
Classic CRO process vs.
Varify AI & Prompt Based Experimenting
| Criterion | Varify AI | Classic / other tools |
|---|---|---|
| Time to Experiment | ✓ < 2 minutes per prompt | ✗ Ø 2-4 weeks (briefing → dev → QA) |
| Variant generation | ✓ Automatically via AI prompt | ✗ Manual: Design + Code + Review |
| CRO Audit / Prioritization | ✓ AI-automated + prioritized | ✗ Manual or agency (from €5,000) |
| Dev-Dependency | ✓ None - AI prompts instead of dev sprints | ✗ Usually 1-2 dev sprints per test |
| Analytics integration | ✓ GA4 + BigQuery native | Often own tracking system |
| Costs for scaling | ✓ Flat per domain, predictable | ✗ MTU-based - expensive for growth |
Your next experiment.
Describe it via prompt.
See how Varify AI and Prompt Based Experimenting can transform your CRO process in a 30-minute demo call - live on your own site.
No credit card - No risk - GDPR-compliant - Server in Frankfurt