ProfitLab
Analytics for traffic and revenue in the AI era.
Why It Exists
AIVisibility answers "are we visible in AI answers?" The immediate next question from every customer was: "…and is that making us money?"
Visibility without outcome is a vanity metric. ProfitLab is the layer that connects the two — attributing traffic and revenue signals back to AI channels.
The Problem
Attribution has always been messy, and AI traffic makes it worse. Visits from AI assistants don't behave like search clicks: they arrive pre-qualified, often without referrers, sometimes days after the conversation. Standard analytics undercounts or mislabels them.
The Build
We're building structured attribution for AI-era journeys: identify AI-referred sessions properly, track them through to conversion events, and roll them up into a channel-level view a founder can read in thirty seconds.
What We Learned
In progress — this product is young. Early lesson so far: don't fight for perfect attribution; aim for directionally honest attribution and be transparent about the confidence level.
Current State
In active development, building on the AIVisibility platform.
Frequently asked questions
What is ProfitLab?
An analytics layer that connects AI-driven visibility to outcomes — identifying AI-referred sessions, tracking them to conversion, and reporting them as a channel.
Why doesn't normal analytics show AI traffic?
AI visits arrive pre-qualified, often without referrers, sometimes days after the conversation. Standard analytics undercounts or mislabels them.
Is it available yet?
It is in active development on the AIVisibility platform. Progress notes live on this product page.
How accurate is the attribution?
The goal is directionally honest attribution — transparent about confidence levels rather than fighting for perfect numbers that do not exist.