An analytics tool or platform designed to track and optimize AI agent behavior on websites. It answers which agents visited, what they asked, where they failed, and helps optimize the 'agent conversion rate'.
Opportunity6.6
Why now
The transition to the agent web where AI agents are becoming the primary users, evaluators, and buyers on the internet.
Market gap
Current analytics platforms (like GA) focus on human behavior (clicks, scroll depth) rather than agent behavior (tool invocations, API errors, structured data parsing).
Business fit
Type
SaaS
Target
Website owners, marketing teams, SaaS companies
Revenue
High (B2B SaaS)
Founder
Analytics experts, data engineers, technical founders.
Scores
Problem
8.0
Feasibility
7.0
Why now
10.0
Go-to-market
7.0
Confidence
9.0
Proof signals
The shift in internet traffic from humans to agents.
Agents finding, evaluating, and invoking tools programmatically without scraping UI.
Keyword demand
Keyword
Volume
Growth
agent analytics
not enriched
not enriched
US English Google Ads volume from DataForSEO; growth uses returned monthly search history.
Which agents visited? What did they ask? Where did they fail? What did they bounce? ... what does agent analytics look like? How do you optimize the conversion rate for agents?