Schema is the label under the hood of a web page. It tells machines what the page means, so they can show it and quote it correctly.
The label under the hood
Schema markup is a small block of structured data added to a web page that states, in a format machines read precisely, what the page is. Not the visible design, the meaning: this is a local business, here is its name and address and hours; this is an FAQ, here are the questions and answers; this is a service, a product, a review, an article. A person sees a nicely designed page. A search engine or AI model sees labeled facts it can trust instead of prose it has to interpret.
It follows a shared vocabulary called schema.org, supported by Google and the major engines. You do not see it on the page. Its whole job is to be read by the machines that decide whether to show and quote you.
What it does for Google
Schema is how a page qualifies for rich results: the star ratings, FAQ drop-downs, business details, and other enhanced listings that make a result stand out and take up more space. It does not force a ranking, but it makes your listing more useful and more clickable, and it removes ambiguity about what your business is and where it operates, which helps local search specifically.
A person sees a designed page. A machine sees labeled facts, or a guess.
What it does for AI answers
This is where schema matters more every month. When an AI assistant reads your site to answer a question, structured data hands it clean, unambiguous facts: what you do, where, your hours, your services. Instead of guessing your identity from scattered prose, the model reads it directly, which makes an accurate mention far more likely. Schema is the page-level half of the AI-search stack; the site-level half is llms.txt, and together they tell engines what each page means and what the whole business is.
The types a local business needs
- LocalBusiness or a specific subtype. The core identity: name, address, phone, hours, geo, and service area.
- Service or Product. What you offer, on each service or product page.
- FAQPage. Questions and answers, matched to visible copy, eligible for the FAQ rich result.
- BreadcrumbList. Where the page sits in the site, so engines understand structure.
- Person or Physician. For providers and team members, especially in healthcare and aesthetics.
- Article. For blog posts and guides, with author and date.
One caution: schema must match what is actually on the page and true about the business. Fabricated review or rating markup is against Google's guidelines and can earn a penalty. We only mark up what is real.
We build it in
Every website World Tech Miami builds ships with the right schema on every page type, alongside the llms.txt and content structure that complete the AI-search layer. It is part of the build, not an add-on. You can see the approach on the SEO and AI search page and read the companion piece, What is llms.txt.