AI readiness for specialty food and drink producers
Allergens, provenance and shipping windows — three facts, all in a PDF.
The moment
Callum, who roasts coffee and sells direct
A buyer asks an assistant for a decaf single origin, ground for espresso, that ships within the country before the weekend.
What the agent needs: Origin, process, grind options, allergen and dietary detail, and the shipping cut-off.
What actually happens: Origin and process live in a tasting-notes graphic, grind is a variant with no readable label, and the shipping cut-off is in a policy page written for humans. The assistant recommends a roaster whose product page answers all five.
Which dimensions decide it, and why
AIScan grades five dimensions. These are the ones that carry the outcome for this kind of business.
Variants are the trap. Price per size and per grind must be readable per variant, or an assistant quotes the cheapest option and misrepresents you.
Provenance, allergens and dietary claims are exactly the attributes buyers filter on and exactly the ones producers put into artwork. As text with Product structured data, they become the reason you are picked.
Shipping cut-offs, subscription intervals and stock notifications are actions. A machine-readable description of what your site can do turns a browsing agent into a buying one.
The checks that matter here
- M4Machine-readable pricing
- C3Structured HTML (title, meta, JSON-LD, single H1)
- E3Heading hierarchy & server-rendered text
- C2/llms.txt
- E2Machine-readable API description
Fix guides: /docs/checks/commerce · /docs/checks/content · /docs/checks/capabilities
Most sites like this run on Shopify — read the Shopify playbook for where each fix lives.
Questions we get asked
Do allergens need to be in the HTML?
How should subscriptions be described?
We sell wholesale too. Same rules?
Is a tasting-notes graphic really a problem?
Does provenance help with AI answers specifically?
What should we check first?
Scan your site and see where you actually stand
Free, no account, about twenty seconds. The report names every failing check by ID, shows the evidence we found, and gives the fix for your platform — plus a hand-off prompt you can paste straight into Claude Code or Cursor.
npx aiscan-cli yoursite.comPrefer to read first? Browse every check we run or the guide library.
Also covers: coffee roaster, tea merchant, bakery, chocolatier, cheesemonger, butcher, brewery, distillery, winery, hot sauce, olive oil, spice blends, artisan food, farm produce, meal kits, subscription box, direct to consumer food, allergen information.