Schema markup does not rank your page higher on its own. What it does is hand search engines and AI models a structured, unambiguous version of facts they would otherwise have to guess at from your page’s prose — your address, your hours, your services, your FAQ answers see how we audit schema for clients.
What schema markup actually is
Schema.org markup is a shared vocabulary websites use to label content in a machine-readable way, usually as a block of JSON-LD in the page’s HTML. It sits alongside your normal visible content — it does not replace it, and visitors never see it directly.
The two types that matter most for local businesses
LocalBusiness schema labels your name, address, phone, hours, price range, and service area in a structured block, so a search engine or AI model does not have to parse that information out of your footer text or contact page. It is the single highest-leverage schema type for any business with a physical location or service area.
FAQPage schema wraps a visible Q&A section — the same questions and answers a person reading the page would see — in a structured format that labels each question and its answer explicitly. Google stopped showing FAQ rich results broadly in 2026, but AI models still read this structure as a clean signal of a direct, quotable answer.
Why AI models care about this more than Google’s classic algorithm did
A traditional ranking algorithm reads your whole page and infers meaning from context, backlinks, and years of trust signals. An AI assistant answering a live question in a few seconds does not have that luxury — it is scanning for structured, unambiguous facts it can quote correctly. Schema markup is the fastest way to hand it exactly that.
The mistake most businesses make
Copying a generic schema template and never updating it. We regularly find LocalBusiness schema pointing at a phone number the business retired two years ago, or an address that does not match the visible footer. Mismatched schema is worse than no schema — it is a documented, machine-readable contradiction that erodes trust signals rather than building them.
How to check your own site
Google’s Rich Results Test and Schema.org’s own validator will both show you what schema currently exists on a page and flag errors. The more useful check, though, is manual: read your schema block next to your visible content and confirm every fact matches exactly.
Frequently Asked Questions
Do I need a developer to add schema markup?
No. Most site builders and SEO plugins (Yoast, Rank Math) generate LocalBusiness and basic Article schema automatically. FAQPage schema for a blog post usually needs a small JSON-LD snippet added manually or through a plugin field.
Does schema markup guarantee a rich result or AI citation?
No. It makes your content easier for search engines and AI models to parse correctly, which raises the odds of being cited or shown as a rich result — it does not force either outcome.
Is FAQPage schema still worth using?
Yes for AI citation purposes, even where it no longer triggers Google’s classic FAQ rich result. AI models still read structured FAQ data as a clean, quotable Q&A format.
What is the most commonly wrong field in LocalBusiness schema?
Address and phone number that do not match what is actually on the page and in Google Business Profile — inconsistency between schema and visible content is a bigger problem than missing schema.
Get a Schema and AI-Citation Audit
We check LocalBusiness and FAQPage schema accuracy as part of every AI visibility scan, alongside the citation-layer issues that actually move whether AI models mention you. Request your free scan.