1. Shopper question
The buyer asks
What is the best TSA-friendly refillable toiletry kit under $35 for a carry-on traveler?
Sample report
This sample uses a real public scan of a Shopify demo store: North Star Outfitters at jsdz0e-ut.myshopify.com. The page shows the same decision arc a merchant should get from a paid report: the shopper question, what the assistant answered, why the store lost, the fix, and the before/after target.
Moment of loss
Every claim below is tied to the recorded public scan, so the sample separates source evidence from generated recommendations.
1. Shopper question
What is the best TSA-friendly refillable toiletry kit under $35 for a carry-on traveler?
2. Assistant answer
The assistant found North Star Outfitters' Refillable Travel Care Kit and could cite the 3 oz bottle count, clear pouch, reusable labels, $28 price, and in-stock variants.
3. Why the store lost
The store still lost the final recommendation because the answer could not verify public review proof or complete product structured data for the kit. A competitor with clearer review markup looked easier to trust.
4. The fix
Publish complete Product JSON-LD for the kit, including brand, offers, availability, SKU, GTIN or barcode, image, aggregate rating when real reviews exist, and the product-page evidence already visible to shoppers.
5. After-rerun delta
+18 readiness points expected after the same shopper question can cite complete product data and review proof.
Evidence
The recorded demo store is North Star Outfitters. Its public product feed confirms Refillable Travel Care Kit, SKU NSO-KIT-CLE-4BO, 2 variants, and the product facts used in the story.
$28.00
SKU NSO-KIT-CLE-4BO · 2 variants · 1022 characters of product-page evidence.
$34.00
SKU NSO-CUB-GRA-3PA · 2 variants · 1036 characters of product-page evidence.
$46.00
SKU NSO-TOT-BLA-38L · 2 variants · 1043 characters of product-page evidence.
Report layers
The sample mirrors the paid report shape: a plain-language verdict first, then per-question story cards, then grouped detail for teams that need it.
Needs proof
Product pages contain strong human-readable facts, but the sample run flags Product JSON-LD completeness and review markup as the first improvement.
Mostly ready
The fixture exposes shipping, returns, FAQ, materials, care, terms, privacy, and contact information for AI shoppers to cite.
Partial
The fixture includes agent-facing discovery surfaces, but protocol and checkout handoff proof should stay aligned with storefront evidence.
Needs validation
The sample fixture can reach checkout test mode, but the report keeps payment-handoff readiness as a disclosure until a production run verifies it.
Fix plan
Each fix is what to change, why it matters, and how to verify the next run. The real report saves these as fix tasks.
Fix 1
The assistant could read the product page, but it could not verify all product facts through structured data.
Add brand, offer, availability, SKU, GTIN or barcode, image, and real review fields in the Shopify theme or schema app.
Fix 2
The lost recommendation hinged on trust proof, so fake or empty review claims would make the page less credible.
Connect the review app's aggregate rating and count to product markup, then rerun the same shopper question.
Fix 3
A carry-on traveler needs returns, materials, and TSA sizing without leaving the buying path.
Link shipping, returns, materials, and care evidence from the product page and agent-shopping guide.
Sample, not shortcut.
A sample page explains the deliverable. A production audit runs your store, your shopper question, saved fix tasks, and the rerun comparison your team can act on.