Checkout Experience for AI-Referred Shoppers

Shoppers who arrive from an AI recommendation are fundamentally different from organic search visitors. They’ve already received a personalised recommendation — they’re not browsing, they’re buying. Your checkout needs to match that intent.

The AI-referred shopper profile

Based on aggregate Zevin data across connected stores:

• AI-referred shoppers have a 2.3× higher add-to-cart rate than organic search visitors
• They spend 40% less time on the product page before clicking Add to Cart
• They are more likely to abandon at checkout if they encounter unexpected friction (shipping costs, required account creation)

The implication: your job is to remove friction, not add persuasion.

Deep linking from AI to product

When an AI platform refers a shopper to your store, Zevin passes them to the specific product page — not your homepage. Ensure your product pages are self-contained:

• Clear product title, images, and price visible above the fold
• Add to Cart / Buy Now button prominent and functional without scrolling
• Stock availability shown clearly (“Only 3 left” vs. “In stock”)

If your platform allows it, Zevin can pass shoppers directly to a pre-filled cart or a one-click checkout page. See platform-specific configuration:

• Shopify: Cart permalinks
• WooCommerce: Direct checkout

Reducing abandonment

Skip the account wall

AI-referred shoppers convert at dramatically lower rates when required to create an account. On checkout:

• Offer guest checkout as the default, not the alternative
• If you require login, offer Sign in with Google or Apple — one tap, no friction
• Defer account creation to the post-purchase confirmation screen (“Save your details for next time?”)

Show total cost upfront

The most common abandonment trigger for high-intent shoppers is surprise shipping costs. On your cart or the first checkout step:

• Show the full order total including estimated shipping before asking for payment details
• If you offer free shipping above a threshold, show how close the shopper is (“Add £12 more for free delivery”)

Pre-fill from AI context

Zevin passes structured context with each referral (where the platform allows it):

?ref=zevin-chatgpt&zctx=eyJ...

The zctx parameter contains base64-encoded shopper context — things like the query they asked the AI, the product they clicked on, and (where the platform provides it) demographic signals. Zevin’s checkout SDK can read this context to:

• Pre-select the correct variant (size, colour) that the AI recommended
• Skip the size guide interstitial for shoppers who specified a size in their query
• Show a personalised upsell based on the original query intent

Install the Zevin checkout SDK to enable this:

<script src="https://cdn.zevin.ai/checkout.js" defer></script>

Post-purchase experience

AI-referred shoppers who have a good experience are more likely to return via AI again — because the AI remembers (implicitly, through future query patterns) that your store was a good match.

Optimise the post-purchase moment:

• Send a transactional email with clear delivery tracking
• Invite the shopper to leave a review — AI platforms factor review signals into recommendation quality
• Offer a discount for their next purchase to build direct repeat behaviour

Checkout analytics

Zevin’s analytics dashboard provides a funnel view for AI-referred sessions:

1. Product page landing
2. Add to Cart
3. Checkout initiated
4. Payment submitted
5. Order confirmed

Drop-off rates at each step are shown per AI platform. A high drop-off at step 3 (checkout initiated) usually indicates account-wall friction. A high drop-off at step 4 (payment) often indicates unexpected costs or limited payment options.