The Argument
Agentic commerce is arriving without a measurement framework. Organisations are deploying autonomous agents, integrating commerce protocols, and redesigning customer journeys for absent-state interaction - but they have no standardised way to measure whether any of it is working. Traditional e-commerce KPIs - conversion rate, average order value, customer lifetime value - were designed for human buyers navigating screen-based interfaces. They cannot measure agent inclusion, delegation reliability, trust erosion, or cross-surface attribution. The AXD Metrics Standard introduces seven KPIs that fill this gap. Each metric is grounded in the Five Pillars of AXD Readiness and maps directly to the operational realities of agentic commerce.
The Seven KPIs
KPI 01: Assistant Inclusion Rate (AIR) measures the percentage of relevant AI-surface queries in which your brand, product, or service appears. It answers the foundational question: are you visible to the agentic layer? KPI 02: Agent-Assisted Conversion Rate (AACR) measures the percentage of agent-referred sessions that result in a completed transaction. High AIR with low AACR means agents recommend you but your checkout infrastructure cannot convert. KPI 03: Cross-Surface Attribution Score (CSAS) measures your ability to identify which AI surface originated or influenced a purchase. Without CSAS, you cannot allocate investment across agentic channels.
KPI 04: Delegation Completion Rate (DCR) measures the percentage of delegated tasks that complete to their stated outcome without human abandonment or override. KPI 05: Trust Erosion Index (TEI) is a lagging indicator that measures the percentage of users who reduce agent autonomy or revoke permissions within a 30-day window. KPI 06: Intervention Frequency Ratio (IFR) measures how often humans intervene in agent operations - an optimal-range metric where both too much and too little intervention signal problems. KPI 07: Agentic Share of Search (ASOS) measures your brand's share of agent recommendations within your competitive category.
The Implication
Each KPI includes a precise formula, a four-tier benchmark scale (Poor, Developing, Proficient, Exemplary), diagnostic signals, and a measurement protocol. The seven metrics are not independent - they form a diagnostic chain. AIR feeds AACR. CSAS enables attribution of both. DCR and TEI measure the trust relationship. IFR calibrates human oversight. ASOS measures competitive position. Together, they provide the first comprehensive measurement framework for agentic commerce readiness. Organisations that adopt the Metrics Standard now will have the data infrastructure to optimise their agentic commerce operations as the market scales. Those that wait will be measuring with tools designed for a world that no longer exists.