Proof a buying committee can check
A wholesale purchase is signed off by people who were never on your catalog: a finance lead, a warehouse manager, a compliance officer. Trust AI for B2B will put the proof they ask for where they hesitate — verified-buyer reviews from named accounts, case studies, certificates and test reports — collected, imported, moderated and disclosed by the same engine that runs Trust AI for DTC stores today.
- Verified buyer = a review matched to a real account order
- Case studies and certificates beside the reviews
- AI help is always labelled — same rules as DTC
Buyer proof
Proof slider · catalog page · planned for the B2B twin
Nordic Beauty Wholesale
Procurement lead · 14 stores
Lead times held through Q4
Six pallet orders, none late. The spec sheet matched what arrived, which is the part our warehouse cares about.
Verified buyerCase study · Larsen Group
Distributor · 40 SKUs on contract
From quote to standing order
Reorder cycle moved from a monthly email thread to a standing order the buyer edits themselves.
Case studyModeration queue
3 pending“Second pallet order this quarter. Packaging held up in transit.”
“Good product, but the MOQ table was out of date when we quoted.”
“Consistent quality across three reorders.”
Across approved proof
5
Import sources, shipping today
Judge.me · Loox · Yotpo · Okendo · plain CSV — columns auto-detected, imported reviews labelled Imported
3
Storefront widgets, shipping today
Review slider · full review section · social-proof rating badge, configured in Comver and rendered by your theme
1
Way to earn a verified badge
Only a review matched to a real order. Nothing imported or AI-assisted can ever carry it
0
B2B numbers claimed here
The B2B twin has not run for a customer. No case studies, uplifts or logos are shown until it has
The four figures above describe Trust AI as it ships for Shopify DTC stores today — the engine the B2B twin is built on. Everything on this page about accounts, certificates and procurement is a roadmap description, and the screens are illustrative.
The proof is in an email thread. Put it on the page.
The answers a trade buyer needs — did the last shipment arrive on time, does the certificate cover our market, has anyone our size run this line — usually live in a rep’s inbox. The three Trust AI surfaces that ship for DTC today are the same three a catalog needs: a rating badge near the order block, a proof slider across the catalog, and a full proof section on the product page. The B2B twin fills them with account-level proof instead of shopper reviews.
- Badge near the order block: rating, count and “Verified buyer”, so the number is visible where quantity and tier are chosen
- Slider across the catalog and category pages: the accounts most like the one reading it
- Section on the product page: the rating summary, filters, media, merchant replies — plus case studies and certificates as their own labelled kinds
Glow Renewal Serum
$62.00
Customer reviews
Anna K.
Warsaw · 3 days ago
Finally, a serum that behaves
Two weeks in and my skin looks rested. No stinging on sensitive days.
Marek J.
Kraków · 1 week ago
Part of the routine now
Bought the routine bundle. Serum + cream is the pair that made the difference.
Six things a buyer will actually read
Every item carries two labels, exactly as the DTC module does today: where it came from, and what verifies it. Nothing shows a verified badge it has not earned.
Verified-buyer reviews
A review from a buyer on an account with a matched order. The badge is the only thing on the page that claims a purchase happened, and it is the only thing that can.
Case studies
A named account, what they ordered, what changed. Written with the account’s consent, labelled as a case study rather than a review, and never counted in the rating average.
Certifications & test reports
Certificates, standards and lab reports attached to the SKU with their issue and renewal dates — the questions compliance asks before the first PO.
Delivery and spec accuracy
Structured notes on lead time and whether what arrived matched the spec sheet — the two complaints that lose a second order.
Your reply, in public
A merchant reply under a critical review is proof of its own. Drafted by AI if you want, labelled when it was, published only when you approve it.
Proof filtered by account type
Planned: a distributor sees distributors, a single-store buyer sees single-store buyers. It builds on the segment engine the DTC modules already read.
Approve, reply, pin — every item, every source
The Reviews view is the moderation desk that ships today: search, filter by product, status, source, rating, verification and media, then Approve, Reply, Edit, AI reply, Hide, Pin, Feature or Delete. The B2B twin adds the account behind the buyer and the order the review is matched to, so a claim can be checked before it is published.
- Auto-approve verified orders, or moderate everything — your choice, as in the DTC module today
- Adding an item asks for its source label first: it is required for compliance and it travels with the item
- A coverage strip under every view: verified · with media · AI-assisted, disclosed
Reviews
Moderate, reply to and merchandise every review across your catalog.
Lena W. · Glow Renewal Serum
“Great texture, quick delivery. Would buy again.”
Jonas R. · Barrier Repair Cream
“Good, but the pump broke after a week.”
Import · Judge.me · Hydra Gel Cleanser
“Nice glow, subtle scent.”
Bring the proof you already have
Most wholesalers are not starting from zero — they have reviews in a DTC review app, references in a slide deck and certificates in a shared drive. The importer that ships today reads Judge.me, Loox, Yotpo, Okendo or a plain CSV, auto-detects the columns, lists row issues and keeps the import history. Everything imported is labelled Imported and never marked as a verified purchase.
- Auto-detected columns: name, rating, title, body, product, image URL, date
- Storefront sources are toggled per source, so imported proof can be shown, or not, on your terms
- Planned for B2B: a CSV of case studies and certificates with their expiry dates, moderated the same way
Bring your proof with you
Judge.me, Loox, Yotpo, Okendo or a plain CSV.
Source platform
judgeme-export-2026-08.csv
Upload a CSV or paste an export · Load sample
Field mapping
Columns auto-detected from the export.
Disclosure
Imported reviews are labelled Imported and are never marked as a verified Shopify purchase.
Import history
One module page: numbers, switches, settings
The B2B twin inherits the module page it is built on. Counted figures come from your own tables; the single revenue figure is labelled an estimate, because proof has no click goal to attribute against.
What is working on the catalog right now
Total items, average rating and verified count, the rating breakdown with its coverage bars, the pipeline (pending · with media · AI-assisted · featured) and the compliance card. In the B2B twin these read across accounts rather than shoppers.
Revenue modules · Trust AI
Trust AI
Collect, import, moderate and showcase truthful reviews, UGC, badges and trust widgets. AI helps draft, translate and summarize with clear disclosure.
298 published reviews are working on your storefront. 214 carry a verified-purchase badge · 58 include a photo or video.
Total reviews
312
298 approved
Average rating
4.8
Across approved reviews.
Verified reviews
214
Matched to Shopify orders.
Est. revenue impact
$7,510 ≈
~4.2% PDP uplift (estimate)
Rating breakdown
Review pipeline
Compliance
Truthful reviews, by design.
- Verified purchase only for reviews matched to a real Shopify order.
- AI-assisted and imported reviews always carry a disclosure label.
- AI demo reviews stay in preview and out of schema.org ratings.
Honest about the order of things
Trust AI is a shipped Shopify module. What is not shipped is the account layer around it — company records, price lists and buyer roles — and no amount of review copy substitutes for that.
Today
The module, for DTC
Collection, five importers, moderation, AI drafting with disclosure, three widgets and schema.org for compliant items only
Needed
The account layer
Companies, buyers and price lists — Shopify B2B company APIs — before a review can be attributed to an account rather than a person
Then
Case studies & certificates
New proof kinds with their own labels, expiry dates and filters, moderated by the desk that already exists
Review-request emails are “Planned — backend ready” even in the DTC module: the settings save, but nothing is sent until an email engine is connected. The B2B twin inherits that state, not a promise around it.
Frequently asked questions
No. Trust AI ships as a Shopify revenue module for DTC stores — collection, import, moderation, AI drafting with disclosure and three storefront widgets. The B2B twin described here points that engine at accounts, buyers and procurement proof, and it is on the roadmap with no date announced. Join the waitlist and we will tell you when it opens.
The same rule as DTC, one level up: a review submitted by a buyer on an account with a matched order. Nothing imported, nothing merchant-added and nothing AI-assisted can carry it. Merchant-verified items show “Verified review” instead, and the difference is visible on the card.
Trust AI drafts from real customer feedback and labels the result “AI-assisted, based on customer feedback”. Those drafts wait in the pending queue, go through moderation like anything else and can never be marked as a verified purchase. AI demo output stays in preview and is excluded from schema.org ratings. The B2B twin keeps every one of those rules.
They are planned as their own proof kinds with their own labels: a case study names the account and what changed, a certificate carries the standard and its renewal date. Neither counts toward the star average, and both are moderated by the same desk with the same source-label requirement.
Yes — that part ships today. Judge.me, Loox, Yotpo, Okendo or a generic CSV: upload or paste the export, check the auto-detected field mapping and import. Row issues are listed, the history is kept, and every imported item is labelled Imported. A CSV of case studies and certificates is planned for the B2B twin.
Counted: total items, average rating, verified items, products with proof, and the pipeline. Storefront events record slider and section views, badge views, card opens and submissions. The one revenue figure is a labelled estimate — proof has no click goal, so it is not attribution and is never presented as one.
No. The widgets are configured in Comver — copy, placement, style, toggles, branding. The theme blocks are enabled once and everything you save in Comver drives them from then on. That is true of the shipped module and is the plan for the B2B twin.
Trust AI itself, on a Shopify storefront that sells direct. Everything on this page except the account layer, the case-study and certificate kinds and the account-type filtering exists today — it is simply pointed at shoppers rather than buying committees.
Keep exploring
Put the answers procurement asks for on the page
The collection, import, moderation and disclosure engine is live for DTC today. Join the B2B waitlist to be told when the account layer opens — or start on Comver AI Commerce now.
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