AI-Powered A/B Testing
AI for A/B
What makes them click?
abee.pro doesn’t just run A/B tests — it generates hypotheses, creates variations, and learns from every experiment. Continuous optimization that runs itself.
No AI gimmicks. Just results. Free to start.
Your homepage hero, landing page copy, button text. The high-impact stuff that moves the needle.
Directory sites, city pages, long-tail SEO. One experiment optimizes thousands of pages at once.
Test each step with its own goal. Find exactly where you’re losing people, then fix it.
Clicks, signups, purchases, engagement. Track what matters for each experiment.
Refines what’s working, explores what might, and stops wasting cycles on ideas that bomb. Each result refines the approach…
AI-Powered A/B Testing
AI for A/B
What makes them click?
abee.pro doesn’t just run A/B tests — it generates hypotheses, creates variations, and learns from every experiment. Continuous optimization that runs itself.
No AI gimmicks. Just results. Free to start.
Your homepage hero, landing page copy, button text. The high-impact stuff that moves the needle.
Directory sites, city pages, long-tail SEO. One experiment optimizes thousands of pages at once.
Test each step with its own goal. Find exactly where you’re losing people, then fix it.
Clicks, signups, purchases, engagement. Track what matters for each experiment.
Refines what’s working, explores what might, and stops wasting cycles on ideas that bomb. Each result refines the approach.
Winners are promoted. Losers retired. New challengers generated. Optimization runs 24/7 so you can focus on your product.
Bayesian statistics for early signals, frequentist tests for confirmation. Know when a win is real — not just noise.
Close losses get noted. Clear losses get remembered. Your audience profile sharpens with every result.
💡
Hypothesis Generator
Combines proven winners into new angles. If ‘urgency’ and ‘social proof’ both work, it tests them together.
🎯
The Critic
Filters out ideas too similar to what you’ve tested. No wasted cycles on variations that are basically the same.
😈
Devil’s Advocate
If scarcity messaging failed 3 times, it won’t let a 4th through. Knows when to move on.
🛡️
Safety Gates
Flags claims you can’t make. ‘Guaranteed results’ in fintech? Blocked before you see it.
📝
The Editor
Learns from your rejections. ‘Too salesy’? ‘Can’t claim that’? Parses the feedback and applies it to every future batch.
🔍
Retrospective Analyst
Separates bad ideas from bad execution. If a writing style fails across multiple unrelated tests, it gets flagged. If it only failed alongside a bad hypothesis, no overcorrection.
The result: A continuous cycle of hypothesis, test, and learning — powered by AI, validated by real user behavior.
You stay in control
It runs itself. And when you have input, it listens.
Conversational setup
Asks the right questions, knows when it has enough to start.
Approve before live
Review batches. Approve what fits, reject with feedback.
Feedback that sticks
“Too salesy”? Applied to every future batch.
Knowledge compounds
Each experiment makes the next one smarter.
1
Define your goal
What action matters? Drop in one line of tracking code.
2
Describe your context
Tell us what you’re testing. Guardrails built automatically.
3
Watch it optimize
AI generates, tests, promotes winners, keeps improving.
Every hypothesis, variation, and decision is visible. Always know what we’re testing and why.
Fintech, healthcare, insurance, FCRA. Context detected, guardrails built accordingly.
Every experiment surfaces insights. Site-wide knowledge you can apply across your brand.