Glossary /
Schema markup
Structured data embedded in a webpage so search engines and AI systems know what kind of content it is.
In more detail
Schema markup uses the schema.org vocabulary to label pages as Articles, FAQs, Products, Organizations, Persons, and more. Search engines use it to display rich results (star ratings, FAQ dropdowns, pricing) and AI systems use it to cite content accurately. Most breeder websites have little or no schema.
Schema turns a page into facts a machine can use
To a human, a breeder page obviously shows a dog, its health testing, and a price. To a machine reading raw HTML, that is just text on a screen with no labels. Schema markup adds the labels. It tells Google and AI systems this is an Organization, this is the founder as a Person, this is a Dog with these health certifications, this is a price, this is an FAQ. Once the facts are labeled, the machine can do things with them: show a rich result, answer a question, or cite your kennel with confidence instead of skipping it.
The schema types that matter for breeders
A breeder site benefits most from a specific handful: Organization and Person to establish who you are, FAQPage so your answers can surface directly, Article on your content so it can be cited, BreadcrumbList for structure, Review and AggregateRating for proof, and Product or Offer where pricing is involved. The point is not to mark up everything, it is to mark up the facts a buyer or an AI system actually needs to trust and recommend you. Most breeder sites have only the bare minimum, which is precisely why getting this right is an edge rather than table stakes.
Common questions
Do I need schema if I already rank on Google?
Yes. Ranking and being understood are different things. Schema improves how you appear (rich results) and, increasingly, whether AI systems can cite you at all. As search shifts toward AI answers, machine-readable facts matter more, not less.
Can bad schema hurt me?
Schema that does not match what is on the page can be ignored or, in rare cases, penalized. Correct, honest schema that reflects the visible content is what you want, which is why it is worth doing properly rather than guessing.