Delivery time, costs & returns · 214 products
detected: Full scan Mon 08:00
01 · Early access
The check will make your store readable for ChatGPT, Perplexity and Gemini, and keep it readable: findings, fixes, ongoing maintenance.
Audit 07/2026 · 0 of 20 German stores fully readable for AI ↓Shop
Resources
Account
Overview
How your store stands, what the layer does, what it returns.
AI shoppability score
How completely agents can read your store.
+9 points from 4 fixes
Score history
Weekly full scan
+32 in 12 weeks
Next full scan Mon 08:00
Next fixes
What the layer suggests next
All 4 fixes →
Recent events
What the layer last handled automatically
All events →
Shop
Resources
Account
Overview
How your store stands, what the layer does, what it returns.
AI shoppability score
How completely agents can read your store.
+9 points from 4 fixes
Score history
Weekly full scan
+32 in 12 weeks
Next full scan Mon 08:00
Next fixes
What the layer suggests next
All 4 fixes →
Recent events
What the layer last handled automatically
All events →
02 · Why now
Index · Q1 2025 = 100
AI traffic to online retail within one year (US retail, Adobe, Q1 2026).
Shoppers arriving from AI recommendations convert better than other traffic (US retail, Adobe). A year earlier they trailed by 38 %.
Protocol status
OpenAI and Stripe defined ACP as a commerce protocol; Google and Shopify defined UCP as a second one. Shopify and Shopware ship first feed features. What goes into those feeds is still on you.
03 · Sample · 2026-07-02
Established German stores across categories, checked against the signals an AI agent reads. Those signals became the six criteria below. A sample of 20, not representative, but clear.
Protocol 2026-07-02 · n = 20 · manual · anonymized
We don't name names. Whether your store shares these gaps is what the check will tell you at launch.
04 · The agent's view
Your customers get the full page: images, reviews, price. An agent only reads the data fields underneath. Three finding classes from the audit plus the target state, switchable.
What the shopper sees
Classic Tee
Size M · White
What the agent reads
JSON-LD · schema.org/Product
"name""Classic Tee"ok
"price""89.00 EUR"ok
"availability""InStock"ok
"gtin"—MISSING
"shippingDetails"—MISSING
"returnPolicy"—MISSING
"aggregateRating"—MISSING
05 · The plan
Visibility dashboards show you the problem. Fixing it has been your job so far. This layer will take over both and keep the state. Fully autonomous, with approvals where you want them. This is what it looks like, with sample data.
01 · Check
30 checks in six categories, from bot access to return details. Every row carries its measured value, not just a verdict. Whatever fails points straight to its fix.
30 checks in 6 categories, each with measured evidence
Full scan Mon 08:00 · catalog-wide · 214 products
02 · Repair
Every fix with a before/after diff. Approval one by one, per 1-click, or permanently on auto, set per fix type. Every application stays reversible.
5 of 8 fix types on auto
SchemaGTINVersandReviewsllms.txtrobotsBingFeedChange →Every card waits for your decision — nothing happens without you.
4 open · +9 points combined
Delivery time, costs & returns · 214 products
detected: Full scan Mon 08:00
Make 128 reviews visible
detected: Full scan Mon 08:00
03 · Maintain
Product data drifts with every theme update and every new product. The layer will detect drift, heal it within minutes and write every step to the log. The ACP feed as a service, not a file.
Every event with its reaction — routine without findings creates no line.
ø healing 3 min · target < 5
Today
Yesterday
Sunday
Page 1 of 3
← NewerOlder →04 · Report
Every month a report with score history, fix log and your store's AI revenue. As a web view and as a PDF, automatically on the 1st.
Beispiel-Shop · June 2026
+10 this month
visits +88% vs. May
Visits from AI sources
Orders
Revenue
06 · The audit matrix
These six criteria are what the layer works by. Each one bundles several individual checks, 30 are planned for the scanner. And every criterion comes with a fix. That, too, comes from the layer.
robots.txt is your store's front door. If it says “Disallow”, the agent turns around before it has seen a single product.
Planned individual checks
Fix · robots.txt clearance, 1 click with preview
Under every product page sits a record only machines read. If it has gaps, the agent is missing exactly the field your customer asks about.
Planned individual checks
Fix · complete JSON-LD, automatic and theme-update-proof
“What does shipping cost? How do I return this?” are buying questions. If the answers are not in the record, the agent recommends the store that answers them.
Planned individual checks
Fix · one-time wizard, then served permanently
Your stars are visible on the page. Without markup they still do not exist for the agent — 128 reviews then count for exactly nothing.
Planned individual checks
Fix · reads your review app, automatic
Agents do not read page by page — they pull the catalog as a record. If there is none, your assortment stays invisible to them.
Planned individual checks
Fix · ACP feed generated + kept in sync
Many stores assemble their pages in the browser. Agents often do not render — they see the empty version. And llms.txt is the guide that shows them the way.
Planned individual checks
Fix · llms.txt generated + maintained
08 · Questions
The audit methodology exists (six criteria, applied to 20 stores), so does the product interface you see above — running on sample data — and this waitlist. The scanner and the automation behind it are in development. The rest arrives at launch.
We'll name a date once we can keep it. The waitlist hears it first.
The feed carries whatever your product data contains. If GTINs, shipping details or review markup are missing, it carries exactly those gaps. Stores with active platform features were incomplete in our audit too.
Once, yes. But product data drifts: new products, theme updates, price changes. And what the engines read keeps changing. That is what the maintenance tier is for: holding the state, not just creating it.
Store URL and email, nothing more. Stored in Frankfurt (EU), used only for the waitlist and launch updates. Details in the privacy policy.
Merchants running their own online store, and agencies managing stores. A business-only offer (B2B), consumers aren't the audience.
The scan stays free. The planned paid tiers are listed above; they become binding at launch.
09 · Early access
Signing up takes a minute. The earlier you join the list, the sooner your store gets the fixes at launch. Until then, the free scan measures the six criteria above for your store. And the views under “The plan” show what the check makes of them.
B2B offer. We'll only email you about your scan and the launch. Details: Privacy policy