Whether the data on a store is structured precisely enough for an AI agent to act on it, not just read it.
AI Actionability is the degree to which a store's data is structured precisely enough for an AI agent to take action on it: compare a price, confirm stock, apply a filter, or trigger a checkout. Readable content can still be unactionable if prices, variants, or availability are ambiguous or unstructured. Actionability is the bridge between extraction and transaction.
An agent that reads a vague price range cannot reliably compare or buy. Actionable data is exact, structured, and current: a numeric price in schema, a boolean availability, a defined variant. Without it, an agent either guesses or skips, and skipping is the safer choice for the agent.
A product page shows a price described only as starting around $29 in text, but the actual variant prices live in a JavaScript widget. A human understands it. An agent cannot act on it. Putting exact prices and availability in Product schema makes the page AI Actionable.
Click each step. When verification fails, the chain never reaches ACT.
Humans understand adjectives. AI needs facts.
Every check passes, so the purchase button exists. Break one and watch it disappear.
Perfectly readable. Perfectly understandable. Still unusable.
AI Readability lets AI see data. AI Understanding lets it interpret meaning. AI Actionability lets it decide. Agent Transaction Readiness lets it complete the purchase.
Get a free AI Commerce Score first, it flags where prices, availability, and variants are too vague for an agent to use. Then see the full actionability scan.
Illustrative example · single-site signal for atomfoundry.dev.
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