SyntropyData · AI-Commerce Readiness Audit
Your store has a second storefront. It’s the one machines read.
AI shopping systems don’t browse your site — they read your product data. We audit which buyer questions that data can answer, show you the evidence, and give you a prioritized plan to close the gaps.
A growing share of product discovery is now machine-mediated — and it doesn’t browse your store the way a person does.
Assistants
Shoppers ask AI assistants before they ever reach a product page.
Agents
Shopping agents query stores through structured feeds and commerce APIs.
The gap
When your data can’t answer, the failure never shows up in your analytics.
The unit that matters
Buyers ask questions. Machines answer them with your data — or don’t.
Not rankings. Not keywords. The real test is whether a buyer’s question can be answered from what machines can read — across every vertical.
“Will this sectional fit a 3.2 m wall?”
“What’s the inseam on the 32R?”
“Is this serum fragrance-free?”
“Does this case fit the 2026 iPad Air?”
“Is the protein powder vegan?”
“Does it ship assembled?”
“What’s the battery life on these earbuds?”
“Can I return it after 30 days?”
The good news
Most missing answers aren’t missing facts. They’re facts machines can’t see.
You’ve already done the work — it’s on your product pages. Every gap falls into one of three states. Most sit in the middle: cheap to fix.
In the machine-readable layer
The fact is structured and exposed. A machine can use it to answer a buyer.
Written for human eyes only
The answer is right there on the page — but never made it into the structured layer. Very common. Cheap to fix.
The fact exists nowhere yet
A real content gap. We flag it plainly — and never invent a value to fill it.
What you receive
An audit you can hand to your team — or your boss.
Every finding is evidence-backed and source-linked. No opinions, no guesses — a document, and a plan.
Sample · demonstration store
Directional figures on a fictional demonstration catalogue. Not a grade.
IN EVERY REPORT
Buyer-question coverage, family by family — what your catalogue can answer today.
The evidence behind every finding, down to the product and the field.
A fix worksheet ordered by impact and effort, mapped to public standards.
A 30-minute readout to decide what’s actually worth doing.
FIX WORKSHEET · SAMPLE ROWS
COVERAGE BY BUYER-QUESTION FAMILY · DEMONSTRATION STORE
answerable / on page only / not found
Purchase-safety questions · tested through the policy / FAQ surface where available
Shipping, returns, warranty, care, lead time and assembly are checked separately from catalogue coverage — against your own policy and FAQ pages where they’re exposed.
How it works
Read-only. Nothing changes on your store.
Send us your store URL
That’s all we need. No app installs, no admin access, no credentials.
We audit your machine-facing surfaces
Evidence-backed checks against your public feed, structured data, and agent endpoint where available — measured the same way each time, read-only.
You get the report, the evidence, and a plan
Prepared and reviewed by a human analyst, then walked through on a readout call.
What we test
Six buyer-question families, plus a purchase-safety battery.
Tested against three surfaces: your public structured feed, product-page structured data, and your live agent endpoint where the platform exposes one.
Tested against public specifications — schema.org Product / Offer, Google Merchant Center product data, OpenAI product feed fields. Not a certification. Verified July 2026.
“Will it fit my space, or my body?” — dimensions, weight, capacity, size charts.
Surfaces: feed · product structured data“What’s it made of?” — fabrics, fillings, ingredients, materials.
Surfaces: feed · product structured data“What colour is it, really?” — colour names, finish, variant imagery.
Surfaces: feed · product structured data“Is this the kind of thing I’m looking for?” — product type and taxonomy.
Surfaces: feed · product structured data“Which option do I pick?” — size / colour variants and per-variant availability.
Surfaces: feed · agent endpoint“How much, and can I get it?” — price, currency, stock, lead time.
Surfaces: feed · agent endpointShipping, returns, warranty, care, lead time and assembly — tested against your own policy pages where exposed.
Surfaces: policy surfaces · agent endpointWhat we don’t claim
In a category full of guarantees, here’s what we won’t promise you.
Where to start
Start with a free snapshot. Go further only if it’s worth it.
01 · Readiness snapshot
Free
A human-prepared one-pager: your headline coverage stat and the strongest buyer questions your machine layer can’t fully answer.
Request a snapshot02 · Readiness audit
€299
Report + 30-minute readout
The full report — coverage, evidence, and a prioritized fix worksheet — walked through on a readout call.
Ask about the audit03 · Catalogue fix sprint
From €990
Scoped after the audit
Review-ready data you approve, verified with a before/after re-run of the same questions. The audit fee is credited toward the sprint.
Discuss a sprintShopify storefronts today · other platforms on request · the audit fee is credited toward a sprint.
Request a snapshot
See your second storefront this week.
A human-prepared snapshot of how AI shopping systems read your store. Free, read-only, no obligation.
Prepared and reviewed by a human analyst — typically within 2 business days.
Read-only. We never install anything or touch your store.
Shopify storefronts first. Other platforms on request.
We’re on it.
You’ll hear from us within 2 business days. Your snapshot arrives as a one-pager: your headline coverage stat, and the strongest buyer questions your machine layer can’t fully answer — each with the evidence behind it.
Want the full readout sooner? Reply to the confirmation email and we’ll scope the audit with you.
Questions
The honest answers.
No — and be cautious of anyone who says yes. No one can honestly promise placement in any AI assistant. What we can measure is whether your product data can answer the questions buyers ask, with the evidence and a plan to close the gaps.
No. We read only your public surfaces — nothing is installed, nothing is changed. The audit is read-only.
Shopify storefronts today. Other platforms on request — the underlying structured-data standards are shared, but we won’t claim coverage we haven’t built.
Any catalogue-rich store — furniture, apparel, beauty, electronics, food and supplements, sports. The buyer-question families adapt to your vertical.
Adjacent, but different. We don’t measure keywords or rankings. We measure whether machines can read your product facts well enough to answer a buyer’s question.
Then the audit shows you that, with evidence — usually alongside a short list of edge gaps. If a fix sprint isn’t worth it, we’ll tell you.
A readiness report with buyer-question coverage, the evidence behind every finding, and a prioritized fix worksheet mapped to public standards — walked through on a readout call.
Nothing automatically. If gaps are worth fixing, a Fix Sprint delivers review-ready data you approve, and we verify improvement by re-running the same buyer questions.