A new category, defined 2026

CRO optimized stores for people.
ACO optimizes them for people and machines.

The way people shop is changing structurally: a growing share of purchases starts inside ChatGPT, Perplexity and the shopping agents built on them. An agent reads your store without JavaScript, parses your product schema, checks your policies — and if it can't, your store doesn't exist for it. At the same time, your human buyers still leave for the oldest reasons in behavioural science: missing trust, forced accounts, decision overload.

Agentic Commerce Optimization (ACO) is the discipline that treats both buyers as one problem — and refuses to guess. Three pillars:

PILLAR 01

Dual-buyer diagnosis

Measure WHY humans leave (behavioural friction patterns, with quoted evidence from your own pages) AND whether AI agents can see, parse and recommend you at all (deterministic machine-readability checks).

PILLAR 02

Agentic fixing

The diagnosis acts on your store's data: concrete, store-specific fixes with implementation briefs, ready to apply. No 40-page PDF that nobody implements.

PILLAR 03

Verified outcomes

Only a passing re-scan counts. CRO has run on folklore for twenty years (“trust badges add 30%”); ACO replaces the folklore with per-store proof.

Why now

Agentic checkout is being wired into the platforms as you read this. Stores that are illegible to machines will lose distribution they never knew they had — and stores that keep guessing at human friction will keep paying for traffic that bounces. The window where you can be early is exactly now.

Start where every ACO program starts

Two free, no-signup diagnoses — one per buyer species:

Scan for human friction → Check your AI readiness →