- Schema markup is structured data that communicates business facts to search engines and AI answer engines in a format they can parse reliably — not just infer.
- LocalBusiness schema (with correct NAP, hours, and geo coordinates) is the single highest-priority implementation for any brick-and-mortar or service-area business.
- FAQPage schema turns your Q&A content into rich results and feeds AI answer engines like Perplexity and Google's AI Overviews directly.
- JSON-LD is the recommended format — it lives in a script tag, not woven through your HTML, which makes it far easier to add and maintain without touching page content.
- Schema doesn't replace good content or citations, but it removes ambiguity — a search engine that's guessing at your hours or service area is more likely to surface a competitor who made it explicit.
- You can validate any schema implementation for free using Google's Rich Results Test before it goes live.
What Schema Markup Actually Is
Schema markup is structured data — a standardized vocabulary defined at Schema.org — that you embed in your website's HTML to describe your business in terms a machine can parse without guessing.
Without schema, a search engine reads your homepage and makes inferences. It sees "Mon–Fri 9–5" somewhere in your footer and probably figures out your hours. It sees your street address and probably connects it to your Google Business Profile. Probably. Schema removes the "probably." You declare your hours, address, phone number, service area, and business category in a structured format that search engines treat as authoritative.
For local businesses specifically, this matters more than it did even two years ago. Google's AI Overviews, Perplexity, and other AI answer engines pull from structured data when assembling quick answers. If you want your business cited when someone asks "best plumber open Saturday in Austin," having explicit schema is one of the clearest signals you can send.
The Format That Actually Works: JSON-LD
Schema can be written in three formats: Microdata, RDFa, and JSON-LD. Use JSON-LD. Google recommends it, and for good reason: it lives in a `
That's the floor. From here you layer in additional properties and additional schema types.
## The Five Schema Types That Move the Needle for Local Businesses
### 1. LocalBusiness (and its subtypes)
This is the foundation. Every local business should have it. The base `LocalBusiness` type works, but if your category has a more specific subtype — `AutoRepair`, `DentalClinic`, `Restaurant`, `HairSalon`, `Plumber` — use that instead. Subtypes inherit all LocalBusiness properties and give search engines a tighter signal about what you do.
**Key properties to include:**
- `name` — your exact business name as it appears on your Google Business Profile
- `address` (as a `PostalAddress` object)
- `telephone`
- `url`
- `openingHours` or `openingHoursSpecification`
- `geo` (latitude and longitude — this is underused and valuable)
- `priceRange` — a simple `$`, `$$`, or `$$$` string
- `image` — a URL to your primary business photo
- `sameAs` — an array of your social profiles and GBP listing URL
The `sameAs` property is particularly useful. It explicitly links your website to your Google Business Profile, Yelp page, Facebook page, and anywhere else you have a presence. This helps search engines consolidate your entity across the web rather than treating each listing as a separate business.
### 2. OpeningHoursSpecification
The `openingHours` shorthand works for simple schedules. If you have holiday hours, seasonal variations, or different hours for different services, use `openingHoursSpecification` instead — it's a more granular object that handles exceptions cleanly.
This matters because AI answer engines are increasingly answering "is [business] open right now?" queries. If your hours are in a structured format they can parse, you get cited. If they're in a paragraph of text, you might not.
### 3. FAQPage
If your website has a FAQ section — or even scattered Q&A content across service pages — wrapping it in `FAQPage` schema turns it into a rich result candidate and, more importantly, makes it easy for AI systems to extract and cite your answers directly.
The format is straightforward:
```json
{
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "Do you offer same-day appointments?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Yes, we hold two same-day slots each morning. Call before 9 AM to book one."
}
}
]
}
Write your FAQ answers the way a knowledgeable person on your team would answer the question — complete sentences, specific details, no marketing fluff. AI systems quote these answers almost verbatim.
4. Review / AggregateRating
If you display customer reviews on your own website (not just linking to Google or Yelp), you can mark them up with Review schema and aggregate them with AggregateRating. This can produce star ratings in search results — the gold stars next to your listing that lift click-through rates significantly.
Important caveat: Google's guidelines prohibit self-serving reviews — you can't mark up reviews you wrote yourself or curated selectively. The reviews must be genuine customer feedback displayed on your site. If you use a third-party review widget that embeds real reviews, check whether the widget already outputs schema (many do).
5. Service
For service-area businesses — plumbers, cleaners, landscapers, consultants — adding Service schema for each major offering helps search engines understand what you do at a granular level. Each Service object can include a name, description, areaServed, and provider (pointing back to your LocalBusiness entity).
This is especially useful for ranking in service-plus-location queries: "roof inspection [city]" performs better when your schema explicitly declares that service and that area.
What Schema Does NOT Do
Schema is not a ranking shortcut. Adding a LocalBusiness block to a thin, poorly-reviewed website won't vault you to the top of local results. Schema removes ambiguity and enables rich results — it doesn't substitute for the underlying signals (reviews, citations, content quality, backlinks) that drive authority.
Think of it this way: schema is the label on the jar. It tells the search engine exactly what's inside. But if what's inside isn't good, the label doesn't help.
Also: schema on your website and your Google Business Profile are separate systems. Keeping them consistent is important — if your GBP says you close at 6 PM and your schema says 5 PM, that inconsistency erodes trust. Review velocity and GBP hygiene are separate levers worth pulling alongside schema.
The Consistency Problem Most Local Businesses Have
The most common schema mistake isn't a technical error — it's inconsistency. Your business name on your website is "Mike's HVAC & Plumbing LLC." Your GBP says "Mike's HVAC." Your Yelp page says "Mike's Plumbing." Your schema says "Mike's HVAC and Plumbing."
Search engines are trying to resolve these into a single entity. The more variation they find, the less confident they are — and less confidence means less prominent placement in AI-generated answers and local packs.
Before you add schema, audit your NAP (Name, Address, Phone) across every platform where your business appears. Make your schema match the most authoritative version — typically whatever's on your GBP — and then update the outliers.
Schema doesn't just help search engines find you — it tells them exactly what to say about you when they do.
Validating Your Schema
Before any schema goes live, run it through Google's Rich Results Test. Paste your URL or the raw JSON-LD, and it will tell you whether the markup is valid and which rich result types you're eligible for. It also surfaces warnings for missing recommended properties — worth addressing even if they're not errors.
For a more comprehensive check, Schema.org's validator will flag any properties that don't conform to the vocabulary, including typos in property names (a common issue).
Run these checks every time you update your schema. Hours changes, new services, address changes — any update to business facts should trigger a schema update and a fresh validation pass.
Where to Add the Code
If you're on WordPress, plugins like Yoast SEO, Rank Math, or Schema Pro handle LocalBusiness schema through a UI — no code required. Configure them once and they'll output the JSON-LD automatically.
On Shopify, the theme handles some schema automatically, but LocalBusiness and FAQPage typically require a custom snippet added to your theme.liquid file's <head> section — or a dedicated schema app from the Shopify App Store.
On a custom or static site, paste the JSON-LD block directly into the <head> of every page (for LocalBusiness) or the specific page where the content lives (for FAQPage and Service).
For GoDaddy Airo and similar website builders, look for a "custom code" or "header scripts" section in site settings. That's where the <script type="application/ld+json"> block goes.
Keeping Schema Current
Schema rots. Hours change. You add a new service. You move locations. You add a second phone number. Every one of these changes needs to be reflected in your schema — and most businesses forget.
The practical fix is to treat schema updates as part of any business change checklist. When you update your GBP hours, update your schema. When you add a service page, add a Service schema block. Build it into the workflow rather than treating it as a one-time setup task.
For businesses running any kind of content or marketing automation, schema consistency checks can be folded into the same review cycle — it's the same category of problem as NAP hygiene and citation management.
“Schema doesn't just help search engines find you — it tells them exactly what to say about you when they do.”
| Area | No schema / guesswork | Proper schema markup |
|---|---|---|
| Business hours in search | Search engine infers from text on page — may be wrong or missing | OpeningHours schema declares exact hours; AI answer engines cite them directly |
| FAQ content | Q&A text buried in a page; AI systems may or may not find and quote it | FAQPage schema surfaces answers as rich results and feeds AI Overviews directly |
| Business identity across platforms | Search engines guess whether your GBP, Yelp, and website are the same entity | sameAs property explicitly links all profiles; entity consolidation is unambiguous |
| Service area clarity | Service area mentioned in prose; search engine may miss or misread it | Service schema with areaServed property makes coverage explicit and parseable |
| Star ratings in SERPs | No stars visible in search listing; click-through rate is baseline | AggregateRating schema enables gold stars in search results for eligible pages |
| Maintaining accuracy over time | Hours or address updated on site but schema (if any) left stale | Schema treated as part of business change checklist; validated after each update |
How to Add Schema Markup to a Local Business Website
- 01Audit your NAP consistency first. Before writing a single line of schema, check that your business name, address, and phone number match exactly across your website, Google Business Profile, Yelp, and any other major directory. Your schema should mirror the most authoritative version — discrepancies between schema and GBP confuse search engines and undercut both.
- 02Choose the right LocalBusiness subtype. Visit Schema.org/LocalBusiness and find the most specific subtype that fits your business — AutoRepair, HairSalon, Plumber, Restaurant, and so on. Using a subtype gives search engines a tighter signal than the generic LocalBusiness type and can improve eligibility for category-specific features.
- 03Build your LocalBusiness JSON-LD block. Write or generate your JSON-LD using a tool like Merkle's Schema Markup Generator or Google's Structured Data Markup Helper. Include at minimum: name, address (as a PostalAddress object), telephone, url, openingHours, geo (latitude/longitude), priceRange, image, and sameAs (linking your GBP and social profiles).
- 04Add FAQPage schema to any Q&A content. Identify pages on your site with question-and-answer content — a FAQ page, a services page with common questions, or a blog post structured around questions. For each, write a FAQPage JSON-LD block with Question and Answer objects. Keep answers complete and specific — AI systems quote them almost verbatim.
- 05Validate with Google's Rich Results Test. Paste your JSON-LD into Google's Rich Results Test (search.google.com/test/rich-results) before publishing. Fix any critical errors — these block rich result eligibility entirely. Review warnings and address the ones that are quick wins, such as adding a missing image or priceRange property.
- 06Add the script block to your site. Paste the validated JSON-LD inside a <script type="application/ld+json"> tag in your page's <head> section. On WordPress, use Rank Math or Yoast's schema UI. On Shopify, add a custom snippet to theme.liquid. On website builders like GoDaddy Airo, use the custom header scripts field in site settings.
- 07Build schema updates into your change checklist. Treat schema like any other business record. When hours change, update your schema. When you add a service, add a Service schema block. When you move, update the PostalAddress. Set a quarterly reminder to re-validate your schema against your live GBP data to catch drift before it affects your search presence.