Pages agents cannot read.
Product pages built for people can block or confuse a machine.
Product / RevleakFind revenue
Find revenue
leakage.
Revleak sends AI shopping agents through your store, finds where they drop off, and ranks every leak by the revenue it puts at risk.
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You cannot see the customers you lose.
Flows that dead-end.
A cart, a login or a form can stop an agent before it reaches payment.
Policies nobody can parse.
Returns and shipping terms written for humans leave an agent guessing, so it moves on.
From an agent run
to a ranked list.
Run
Send shopping agents through the store, as machine customers would.
Find
Mark each point where an agent stalls or leaves.
Size
Attach a revenue-at-risk figure to each leak.
Fix
Rank the list so the largest leak is first.
A bill of leaks,
not a score.
Every leak has a place and a size.
Each finding names the step where the agent stopped and what it likely costs.
Each finding
WhereThe step in the flow
WhyWhat stopped the agent
CostRevenue at risk
The audit, productized.
Our research shows how agents behave in a store. Revleak turns that method into a repeatable audit.
What this page shows,
and what it does not.
What we show
Revleak as a product direction: agent runs against a store, ranked leaks, revenue at risk.
What we do not claim
No leakage percentages, recovered revenue or customer results are published here. The illustration is not a product screen.
Source: Machine Commerce product direction, October 2026. Figures will be published only when verified.
Find out where
your store leaks.
Start with your storefront and the flows you care about. We will walk you through what an agent run would look at.
Request a walkthroughNo form, no sales queue.Write to the founders directly. Your email goes straight to them.Machine Commerce
ToThe foundersfounders@generalmachines.aiGeneral Machines