Why it exists
A crawler reading your about page sees text. Schema tells it, unambiguously, that this is an Organization, that its name is X, that it was founded in Y, and that these are its profiles elsewhere. You are replacing inference with a declaration.
That matters more every year. Generated answers need to attribute a claim to an entity, and schema is the cleanest way to say which entity you are.
| Type | Where it belongs | What it does |
|---|---|---|
| Organization | Once, sitewide | Establishes the entity behind everything else |
| Article or BlogPosting | Editorial pages | Attribution, author, and dates |
| Service | Commercial pages | Describes what you sell, to whom |
| BreadcrumbList | Every nested page | Makes hierarchy explicit |
| FAQPage | Pages with real Q and A | Extraction for assistants, no longer rich results |
The types worth implementing
- Organization: once, sitewide, with your real profiles
- Article or BlogPosting: on editorial content, with honest dates
- FAQPage: where you genuinely have questions and answers on the page
- Service and Product: on commercial pages
- BreadcrumbList: to make the site's hierarchy explicit
Getting it wrong
Marking up content that is not on the page is the fastest way to lose rich results, and it is a manual-action risk. If the FAQ schema lists six questions and the page shows three, that is a problem. Validate every template once, and re-validate after a redesign.
Why it matters for B2B marketing teams
Schema is the cheapest AI-visibility work available to a B2B team and the most commonly half-done. The usual state is Organization markup written once, never revisited, and now contradicting the website. Auditing what you already publish typically beats adding new types.