Quick Answer
Schema markup is JSON-LD structured data added to a website that tells search engines and AI answer engines exactly what a business is, where it is, and what it offers. For local businesses, LocalBusiness and FAQ schema are the two types that matter most, because they make your business eligible to appear in AI Overviews, rich results, and the citations that ChatGPT and Gemini surface when a customer asks a question.
Key Takeaways
- Schema markup is JSON-LD structured data added to a web page that describes your business, services, and FAQs in a machine-readable format so search and AI engines understand and cite you.
- LocalBusiness schema, which defines your name, address, hours, and services, and FAQ schema, which makes your questions eligible for rich results and AI citations.
- Yes.
- Not necessarily.
- FAQ schema makes your questions eligible for rich results and AI citations, increasing visibility and the chance of being quoted in answer engines.
Definition
Schema markup is JSON-LD structured data added to a web page that describes your business, services, and FAQs in a machine-readable format so search and AI engines understand and cite you.
Schema markup is JSON-LD structured data added to a website that tells search engines and AI answer engines exactly what a business is, where it is, and what it offers. For local businesses, LocalBusiness and FAQ schema are the two types that matter most, because they make your business eligible to appear in AI Overviews, rich results, and the citations that ChatGPT and Gemini surface when a customer asks a question.
Why AI engines cite some businesses and ignore others
When a customer asks ChatGPT for a roofer, the engine cites businesses whose structured data makes them unambiguous, not the ones with the prettiest sites.
Schema markup is how a business tells Google and AI engines, in machine-readable form, exactly what it is and does. Without it, the engine guesses. With it, the engine cites. This is the foundation of AEO, answer engine optimization. Pair it with our Google AI Overviews optimization guide for the full citation strategy.
The two schema types that matter most
LocalBusiness schema defines who and where you are; FAQ schema defines what you answer. Together they make a business citable by both search and AI engines.
| Schema Type | What It Defines | Why It Matters |
|---|---|---|
| LocalBusiness | Name, address, hours, services, area | Map-pack and AI business citations |
| FAQ | Questions and answers on a page | Rich results and AI answer citations |
| Review | Aggregate rating and review count | Trust signal in search results |
| Service | Services offered and areas served | Relevance for service queries |
| Breadcrumb | Page hierarchy and navigation | Site structure for crawlers |
Building a schema-driven AEO foundation
A complete setup generates LocalBusiness and FAQ schema from a single business profile, so it stays accurate without manual code edits.
- LocalBusiness Schema: Emit name, address, hours, service area, and phone on every page.
- FAQ Schema: Generate from your FAQ content so answers are eligible for rich results.
- Review Schema: Surface aggregate rating to build trust in search.
- Service Schema: Mark each service and the areas you serve.
- Auto-Update: Pull schema from one business profile so edits propagate everywhere.
Generating and maintaining structured data is engineering work. An expert AI automation engineer builds these schema systems so AI engines cite your business accurately. Teams that want content support can also hire a GoHighLevel virtual assistant to keep FAQ content current.
Make your business the cited answer
Schema is not visible to humans, but it is the language AI engines speak. Speak it, and you become the cited answer.
- 1Add LocalBusiness schema with accurate name, address, hours, and service area.
- 2Generate FAQ schema from your question and answer content.
- 3Surface review and service schema for trust and relevance.
- 4Validate schema with Google's Rich Results test.
- 5Auto-update schema from a single business profile.
This schema foundation is part of our owned marketing engine model: your schema, FAQ, and review markup are built once for a single setup fee, then run for a flat $48/month. To get cited by AI engines, book a free setup audit.
Key takeaways
- LocalBusiness and FAQ schema are the two types that matter most.
- Schema makes a business eligible for AI Overview and rich-result citations.
- Structured data removes ambiguity about what a business is and offers.
- Schema can be generated and auto-updated from a single business profile.
- An owned CRM emits and maintains schema for $48/month flat.
Marjohn Robillo— AI Automation Engineer & Lead AI Consultant
Marjohn Robillo is the AI Automation Engineer and Lead AI Consultant at Apehx Digital, architecting speed-to-lead, conversational text-back, and AI-qualification systems for US service businesses. Portfolio & consulting: marjohnrobillo.me.
See more of Marjohn's workFrequently Asked Questions
What is schema markup?
Schema markup is JSON-LD structured data added to a web page that describes your business, services, and FAQs in a machine-readable format so search and AI engines understand and cite you.
Which schema type matters most for local businesses?
LocalBusiness schema, which defines your name, address, hours, and services, and FAQ schema, which makes your questions eligible for rich results and AI citations.
Does schema markup help with AI search?
Yes. Clear, structured schema helps AI answer engines like ChatGPT and Google AI Overviews understand and cite your business when answering user questions.
Do I need a developer to add schema markup?
Not necessarily. A modern CRM or CMS can generate LocalBusiness and FAQ schema automatically from your business profile, so it updates without code changes.
How does FAQ schema help rankings?
FAQ schema makes your questions eligible for rich results and AI citations, increasing visibility and the chance of being quoted in answer engines.
More from the blog
Related guides in the same topic cluster.