The evidence
What the market shows — and what your stack misses.
Published demand-side data on AI-referred retail traffic, followed by a category-by-category read of what each existing system alone does not establish.
Adobe Digital Insights reported that AI-referred traffic to U.S. retail sites grew 393% year over year in Q1 2026. In March 2026, those visits converted 42% better and generated 37% higher revenue per visit than non-AI traffic. Adobe says the underlying U.S. retail analysis covers more than one trillion visits.
Adobe-reported historical data; not Cartograph customer data. Growth rate does not indicate channel share.
Different systems, different records
Your stack sees the pieces. The planned integration connects the evidence.
Cartograph is not a bot detector, PIM, analytics platform, PSP, or commerce platform. It is being built as the agent-commerce evidence layer across them.
GA4 / analytics
On-site events
▲Log-origin request evidence and bot/security context
Bot tools
Automation risk
▲Merchant-side commerce milestones and request provenance
PIM / feed tools
Catalog completeness
▲Fetch, parse, and cross-surface consistency evidence for named merchant surfaces
GEO / AI visibility tools
AI mentions and citations
▲Merchant-side request, cart, checkout, policy, and payment evidence
PSPs
Payment outcomes
▲Upstream request provenance and product/cart milestone context
Commerce platforms
Cart and order state
▲Cross-surface evidence normalization and deterministic traffic-label provenance