Describe your hypothesis in natural language — the AI generates variants, writes the code and starts the experiment directly on your site. Prompt Based Experimenting makes A/B testing as fast as a chat message.
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Idea → Briefing → Design → Dev → QA → Launch: Weeks pass before a single A/B test goes live. Every test requires developer capacity — and without AI support, this quickly becomes expensive.
From initial briefing to go-live takes weeks. Hypotheses gather dust in the backlog because manual implementation is too complex — this is exactly where AI-powered A/B testing comes in.
Every test needs developer resources — whether for frontend changes, QA or deployment. This costs time and money that's needed elsewhere.
Formulate your idea in natural language — the AI creates a testable variant that you can iteratively adjust via prompt. When needed, you have direct access to the generated JavaScript to save developers time.
Describe your idea in natural language — no technical details needed, the AI understands your optimization idea immediately.
›Varify generates a variant including code. You can iteratively refine via prompt — or switch directly to JS.
›Review, approve, go live — your AI-generated experiment runs in under 2 minutes. GA4 tracking is automatically configured.
← Move the slider to compare before and after →
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.
Every finding is a testable hypothesis — one click starts the experiment directly via Prompt Based Experimenting.
The AI recommendations are based on CRO patterns from real experiments — not generic tips.
Severity + estimated CVR uplift — you immediately know which test to start first.
Der „Add to Cart"-Button ist auf den meistgenutzten Viewports (375×667, 390×844) nicht ohne Scrollen sichtbar. Sticky CTA oder Position-Shift testen. Potenzial: +12–18% Mobile CVR.
Neither quality seals nor review count are placed in the visible purchase area. Test Trusted Shops badge + star snippet directly next to price.
Product name contains "Limited Edition", but availability and remaining quantity are not communicated. Test stock display or countdown.
Blue button (#2563eb) on light background — contrast ratio 3.8:1 instead of min. 4.5:1. Test darker tone or larger font.
High-resolution images available, but no hover zoom or lightbox activated. For fashion products, zoom increases dwell time by avg 15%.
| Criteria | Varify AI | Classic / other tools |
|---|---|---|
| Time to Experiment | ✓ < 2 minutes per prompt | ✗ Avg 2–4 weeks (Briefing → Dev → QA) |
| Variant Generation | ✓ Automatic 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 separate tracking system |
| Costs at Scale | ✓ Flat per domain, predictable | ✗ MTU-based — expensive with growth |
See in a 30-minute demo call how Varify AI and Prompt Based Experimenting changes your CRO process — live on your own site.
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