Pages agents cannot read.
Product pages built for people can block or confuse a machine.
Product / Revleak
Find revenue leakage.
Revleak is revenue intelligence for stores that sell to machines. It runs shopping agents against a store, finds where they drop off and ranks each leak by revenue at risk.
Talk to us about RevleakSee how it works
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.
See the research: Machine customers vs bots.
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.
Related reading
StudyMachine customers vs bots
MethodMeasurement before optimization
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.
Talk to us about RevleakOr write to founders@generalmachines.ai
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