AI shopping agents are already sending buyers — and they only recommend brands they can read. Your own AI features have the same dependency. The AI-Readiness Audit scores your customer and catalog data across six pillars, then hands you the fix list in priority order — on the stack you already own. No migration, no new platform.
Can you tell who your customers actually are — or is one human three profiles?
Do the events that drive your flows and AI actually fire — completely, and only once?
Could a machine that's never seen your brand describe, compare, and recommend your products?
Schema, feeds, agent endpoints — can AI actually reach and read your store?
Is the clean data wired into segments, flows, and predictive features that make money?
Consent, source-of-truth, access — can you defend the data, and does anyone own it?
You get a scorecard your whole team can rally around, a findings memo with the evidence, and a prioritized roadmap — quick wins first, foundation work second, nothing vendor-locked. Most sellers of "Klaviyo audits" inspect your messages. We inspect the data underneath the messages — and underneath the agents.
Catalog + machine-accessibility pillars in full, plus a top-level pass on the rest. The fast answer to "how exposed are we?"
All six pillars, full sampling, stakeholder interviews — the complete picture of where you stand.
The Full Audit, then two weeks of hands-on execution of the quick-wins list.