Structured-data markup: making your catalog machine-readable.

In short

Structured data (JSON-LD) is code you add to a page that labels its content for machines: this is a Product, this is its price, these are its certifications, this is an FAQ. It removes guesswork, so AI reads your facts correctly.

Why it matters for AI

Without markup, a model infers what your page means from prose and can get it wrong. With JSON-LD, you state it explicitly. Explicit, correct facts are exactly what AI needs to cite and recommend you confidently.

The schemas product-and-quote B2B should use

Organization. Who you are, logo, certifications, contact.
Product / Offer. Products, attributes, and (where shown) price or price range.
Service. The services you provide.
FAQPage. Your FAQ blocks (highly citation-friendly).
Article. Guides and resources like this one.
BreadcrumbList. Page hierarchy.

How to do it well

Use JSON-LD in a <script type="application/ld+json"> block, it's the easiest to maintain.
Mark up what's actually on the page, don't claim facts the human can't see (that breaks trust and guidelines).
Keep it accurate and current, stale schema is worse than none.
Validate before shipping (schema validators and rich-results testing).

Mini example (FAQ schema)

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [{
    "@type": "Question",
    "name": "What is your standard lead time?",
    "acceptedAnswer": { "@type": "Answer",
      "text": "10 business days for orders up to 5,000 units." }
  }]
}

Common questions

Will this get us into AI answers by itself?

No single tactic does. Markup makes your facts unambiguous; combined with content actions, structure, and llms.txt, it materially improves how AI reads and cites you.

Is this the same as SEO rich snippets?

Same technology, broader purpose. The same JSON-LD that earns Google rich results also helps AI read you correctly.

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