Run more tests. Learn faster.
Hypothesis briefs, AI-generated variants across distinct vectors, editor curation, test-ready delivery. The variant pipeline your CRO program needs to actually learn at speed — not just publish.

What is AI A/B test variation creation?
It's the production of variant copy, layouts, and creative ideas for A/B testing — at the volume your testing program actually needs. AI generates 10–25 variants against a clear hypothesis; an editor selects 3–5 worth shipping; you run the test.
The bottleneck for most CRO programs isn't the testing tool. It's running out of variant ideas worth testing. Generating across distinct hypothesis vectors (not just rewordings) is the difference between AI variants that all converge on the same number and AI variants that actually inform what you ship next.
A/B variant creation = the variant pipeline behind your CRO program. Hypothesis-led, multi-vector, test-ready packs.
Six test types we generate variants for
Each type has its own variant patterns and minimum-detectable-effect requirements. We calibrate per type — not one-size-fits-all.

- CTA copy & designButton text, color, placement. Highest-leverage, fast-cycle test.
- Headlines / sub-headsHero H1s, blog post titles, ad headlines. Pattern-based variants.
- Hero blockImage / video / mockup direction. Layout + asset variants.
- Email subjectsSubject lines + preview text. High-volume variant testing fits here.
- Ad creativeHeadline + description + image direction. Multi-variant for paid.
- Pricing / offersPlan naming, anchor structure, price-point tests.
What you get with us
The deliverables — written down, so the scope is the scope.
- 01
Hypothesis brief
Before variants, a one-page brief: what we're testing, what we expect, success metric, minimum detectable effect. Mandatory step.
- 02
Variant generation
10–25 variants per test, generated across distinct hypothesis vectors — different value props, framings, anchors. Not just rewordings.
- 03
Editor curation
3–5 strongest variants selected, polished, paired so each tests a different idea. Variants delivered with what each is testing.
- 04
Visual mockups (when needed)
Figma frames or briefs your designer can execute. Full creative production for ad-creative tests on request.
- 05
Test-ready delivery
Variants delivered in your CRO tool's preferred format (Optimizely, VWO, Google Optimize alternative, native ad-platform variants).
- 06
Optional results readout
After each test we synthesize what won, what the result means (signal vs noise), what to test next. The most common upgrade in month two.
How a variant pack runs
Four stages, scoped per test. Hypothesis brief mandatory — most CRO failures trace back to skipping it.

- 01
Hypothesis brief
Before any variants, we co-write a one-page hypothesis: the change we're testing, the expected effect, the success metric, and the minimum detectable effect that makes the test worth running. Most CRO failures happen because tests ran without a clear hypothesis — we make this step non-negotiable.
- 02
Variant generation
AI generates 10–25 variants against the brief. Critically, we generate across distinct hypothesis vectors (different value props, urgency framings, audience anchors) — not just rewordings of the same idea. That's the difference between variants worth testing and variants that all converge on the same number.
- 03
Curation & pairing
An editor selects 3–5 strongest variants. Each is polished and paired so the test learns something — Variant A tests value-prop framing, Variant B tests urgency framing, etc. You learn what audience psychology matters, not just which phrasing won by 0.3%.
- 04
Test-ready delivery
Variants delivered in your CRO tool's preferred format — Optimizely / VWO / native ad-platform variants / direct-write to your CMS. Each variant tagged with its hypothesis vector so your team knows what each is testing for. You plug in and start.
Frequently asked questions
The questions we actually get on scoping calls — answered honestly, not in marketing voice.
What is AI A/B test variation creation?
Won't AI variants all converge on the same idea?
What can you generate variants for?
Do you do the design too, or just copy?
How is this different from AI Copywriting?
How does the hypothesis brief work?
Will you also help interpret results?
Pricing?
Ready to grow with a team that actually ships?
30-minute discovery call. No slides, no pitch, just your situation, where revenue should come from next, and an honest answer about whether web development, digital marketing, AI services, or all three are the right move.