SCALE

SERVICE 02

Test more in a quarter than most teams test in a year.

AI doesn't replace CRO judgment. It removes the bottleneck between having a hypothesis and having an answer.

What AI CRO is

AI CRO is conversion rate optimization where AI assists the slow parts — generating hypotheses from session data, drafting variants, and surfacing patterns across tests — while a human decides what's worth testing and what the result means.

FOR

Sites already getting meaningful traffic, looking to convert more of it

Teams who've run tests before but want faster, better-prioritized hypotheses

Anyone who wants decisions backed by session data, not opinion

NOT FOR

Very low-traffic sites (see the honesty note below — statistical testing needs volume)

Anyone expecting AI to replace judgment on what's actually worth testing

What's included

Session + heatmap analysis (Clarity, or a Hotjar sprint)

AI-assisted hypothesis generation ranked by ICE

Variant production

Test setup + statistical calling

AI-visibility measurement — are you being cited by AI engines, and for what

A documented decision log so wins repeat

Split test, converging on one answer

Split test converging on one answerTwo parallel test paths run together, then diverge at a decision point — one path fades, the other continues as a solid upward trend.

A/B testing needs traffic. Below roughly 5,000 sessions per variant we use best-practice changes with before/after measurement, and I'll tell you which one you're getting."

3–5×

Representative best-case improvement in hypothesis volume when AI assists session-data analysis, versus manual review alone.

Traditional CRO vs AI-assisted CRO

Traditional CRO AI-assisted CRO
Cycle time
Weeks per hypothesis
Days per hypothesis
Hypothesis volume
Limited by analyst time
Higher, AI-surfaced from data
Who decides
Analyst intuition
Human judgment, AI-informed
Cost per validated learning
Higher
Lower

Questions before you start.

Is AI writing the tests?

No. AI surfaces patterns and drafts hypotheses; a human decides what's worth testing and interprets what the result means.

Enough for statistical significance — roughly 5,000 sessions per variant is the honest threshold. Below that, we use before/after measurement instead, and I'll tell you which you're getting.

A loss is still a validated learning — it goes in the decision log so we don't repeat it.

A tool gives you software. This gives you the analysis, the prioritized hypotheses, and the judgment calls a subscription doesn't make for you.

Find out what's actually leaking.

A free AI CRO audit: I go through your funnel and send you the specific friction points, in priority order. Yours to keep, whether or not we work together.