Everything an AI Agent Needs Before It Clicks Buy

We often talk about AI "Searching." But the holy grail is AI "Buying."

Auto-replenishment. Concierge shopping. B2B procurement bots.

For an Agent to execute a transaction (spend money), it needs a much higher threshold of certainty than for a simple search recommendation.

It needs Transaction Confidence.

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The "Hard Blockers" (Instant Fail)

If any of these are present, the Agent cannot buy:

1. Visual CAPTCHAs: If your checkout requires identifying traffic lights, the Agent is blocked. (You need backend API access or "Humanity" cookies).
2. Hidden Pricing: "Call for Quote." Agents can't call.
3. Ambiguous Shipping: "Shipping calculated later." The Agent needs a total cost now to authorize the spend limit.

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The "Soft Blockers" (Confidence Killers)

These don't break the code, but they break the logic:

1. Inconsistent Variant Images: The Agent selects "Blue," but the image stays "Red." It worries it selected the wrong item.
2. Vague Sizing: "Fits true to size" is risky. "Chest Width: 22 inches" is safe. Agents prefer measurements over adjectives.
3. Broken Links in Policy Pages: If the Agent tries to verify your Return Policy and gets a 404, it aborts the transaction as "Unsafe."

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Preparing Catalog-Wide Readiness

To be "Transaction Ready," every single SKU needs:

• Global Identifier (GTIN): To confirm it's the right product.
• Real-Time Stock Status: To prevent cancellation.
• Structured Shipping Costs: shippingDetails schema so the Agent can calculate landed cost.
• Structured Return Policy: merchantReturnPolicy schema to assess risk.

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Naridon's Pre-Flight Checklist

Naridon runs a "Pre-Flight Check" on your store.

We simulate an Agent attempting to buy.

• Can we find the price?
• Can we calculate shipping?
• Can we verify the return policy?
• Can we confirm the stock?

If we hit a blocker, we flag it. Fixing these blockers doesn't just help Agents; it helps humans too.