Continuously inspect the live funnel
Look for regressions across landing pages, mobile paths, forms, checkout, speed, trust, and measurement.
AI growth engineer
An AI growth engineer that finds and fixes conversion leaks.
Mimetic audits the live customer journey, finds the mobile, form, checkout, speed, trust, and measurement problems costing you growth, then writes the fixes for your team to review.
Mimetic works like a growth engineer: inspect the live system, find the break, rank the opportunity, and ship a fix your team can review.
Built by a team from
We showed them their true cost per booked demo was $1,415, not the $8.88 their dashboard reported, then rebuilt bidding around real revenue.
EXAMPLE FINDING
High impact
A release quietly broke the highest-intent signup path
The pricing-page CTA opens an outdated form whose company-size field no longer submits. Mimetic catches the live break, quantifies the affected journey, and prepares the fix instead of adding another alert.
Pipeline at risk
$45–110k/mo
High-intent visits
3,820
Conversion after fix
↑ +1.6%
Fix available · ready to ship
What an AI growth engineer should actually do
An AI growth engineer should bridge analysis and implementation. It should inspect the live conversion system, reproduce problems across the customer journey, estimate which ones matter, and prepare changes that growth and engineering can review instead of producing another list of ideas.
Prioritize like an operator
Rank work by affected demand and business impact, not by the number of warnings a scanner can produce.
Move from finding to fix
Turn diagnosed problems into implementation-ready changes that remain under human review.
Frequently asked questions
What is an AI growth engineer?
An AI growth engineer is an agent that combines growth diagnosis with technical execution. It inspects the funnel, identifies conversion and measurement problems, prioritizes them, and helps ship changes rather than only generating recommendations.
How is an AI growth engineer different from a CRO tool?
Most CRO tools provide analytics, heatmaps, experiments, or recommendations. An AI growth engineer is oriented around the operational loop: find the live problem, estimate impact, prepare the fix, and continue monitoring for regressions.