koira
schema markuplocal seostructured data

How to Add Schema Markup to Your Local Business Website (Without a Developer)

KOIRA Team9 min read1,820 words
Schema markup JSON-LD code block for local business structured data with search result rich snippet preview
Intro
Breakdown
Solution
FAQ
◆ Key takeaways
  • 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.

Save this for later
Get a PDF copy of this post →
Drop your email, we’ll send you the full piece as a clean PDF. Plus the weekly KOIRA roundup.
Title: Schema Markup for Local Businesses: A Beginner's Guide
Schema Markup
Schema markup is structured data added to a website's HTML — using the Schema.org vocabulary — that tells search engines and AI systems the specific facts about a business, such as its name, address, hours, and services, in a machine-readable format.
JSON-LD
JSON-LD (JavaScript Object Notation for Linked Data) is the recommended format for implementing schema markup, consisting of a self-contained script block added to a page's HTML head that search engines read independently of the page's visible content.
LocalBusiness Schema
LocalBusiness is a Schema.org type used to describe a physical or service-area business, including its name, address, phone number, hours, and geographic coordinates, and is the foundational schema type for any business with a local presence.
FAQPage Schema
FAQPage schema marks up question-and-answer content on a webpage so that search engines can display it as a rich result in SERPs and AI answer engines can quote the answers directly when responding to related queries.
Rich Results
Rich results are enhanced search listings — such as star ratings, FAQ dropdowns, or hours information — that Google displays when a page's schema markup qualifies, typically increasing visibility and click-through rates compared to standard blue-link results.
Schema Markup: Manual Approach vs. Structured Implementation
AreaNo schema / guessworkProper schema markup
Business hours in searchSearch engine infers from text on page — may be wrong or missingOpeningHours schema declares exact hours; AI answer engines cite them directly
FAQ contentQ&A text buried in a page; AI systems may or may not find and quote itFAQPage schema surfaces answers as rich results and feeds AI Overviews directly
Business identity across platformsSearch engines guess whether your GBP, Yelp, and website are the same entitysameAs property explicitly links all profiles; entity consolidation is unambiguous
Service area clarityService area mentioned in prose; search engine may miss or misread itService schema with areaServed property makes coverage explicit and parseable
Star ratings in SERPsNo stars visible in search listing; click-through rate is baselineAggregateRating schema enables gold stars in search results for eligible pages
Maintaining accuracy over timeHours or address updated on site but schema (if any) left staleSchema treated as part of business change checklist; validated after each update

How to Add Schema Markup to a Local Business Website

  1. 01
    Audit 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.
  2. 02
    Choose 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.
  3. 03
    Build 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).
  4. 04
    Add 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.
  5. 05
    Validate 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.
  6. 06
    Add 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.
  7. 07
    Build 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.
FAQ
Does schema markup directly improve my Google rankings?
Schema markup is not a direct ranking factor in the way that backlinks or content quality are. What it does is enable rich results (star ratings, FAQ dropdowns, hours in search snippets) and reduce ambiguity about your business's identity, which can improve click-through rates and how confidently AI systems cite your business. Think of it as a prerequisite for certain visibility features rather than a ranking boost by itself.
What's the difference between schema markup and my Google Business Profile?
Your Google Business Profile (GBP) is a separate listing managed through Google's own platform — it's what appears in the map pack and Knowledge Panel. Schema markup lives on your own website and tells search engines what your site is about. The two systems are complementary: GBP handles your presence in Google's ecosystem, while schema markup reinforces your identity from your own domain. Keeping them consistent with each other is important — discrepancies between the two can reduce how confidently search engines surface your business.
Do I need to add schema to every page, or just the homepage?
LocalBusiness schema should appear on every page (or at minimum your homepage and contact page) since it describes your overall business identity. FAQPage schema should only appear on pages that actually contain FAQ content — adding it to pages without matching visible Q&A content violates Google's guidelines. Service schema goes on the specific service pages it describes. The rule of thumb: schema should describe the content on the page it lives on, not content elsewhere on the site.
How long does it take for schema to show up in search results?
Google typically needs to recrawl your pages before schema changes take effect in search results, which can take anywhere from a few days to a few weeks depending on how frequently your site is crawled. You can speed this up by submitting your updated URLs through Google Search Console's URL Inspection tool and requesting indexing. Rich results eligibility is assessed separately — being valid doesn't guarantee rich results will appear, but invalid schema guarantees they won't.
Can I use schema markup to rank for AI-generated answers like Google's AI Overviews?
Schema markup — especially FAQPage and LocalBusiness schema — does feed into AI answer engines, including Google's AI Overviews and tools like Perplexity. FAQPage schema in particular is structured in a format that AI systems can quote directly. That said, being cited in AI answers depends on content quality, authority signals, and topical relevance as well — schema makes it easier for AI systems to parse and cite your content, but it doesn't override those other factors.
What happens if my schema has errors?
Schema errors range from minor (missing recommended properties that won't break anything) to disqualifying (incorrect property names or invalid values that prevent rich results). Google's Rich Results Test will categorize errors by severity. Critical errors mean you won't be eligible for the rich result type in question. Warnings mean you're eligible but may be leaving enhancement opportunities on the table. Fix critical errors first; address warnings when you have time.
Find KOIRA on
XLinkedInFacebookCrunchbaseWellfoundF6S
Keep reading
Updates
How AI Search Engines Changed This Quarter — And What to Do
9 min read
Data
Review Velocity Benchmarks: What the Data Says About Local Rankings
9 min read
Guides
SEO vs GEO vs AEO: What Each One Does and Why You Need All Three
9 min read
Guides
How to Write Content That AI Search Engines Actually Cite
9 min read
Stay in the loop
New posts, straight to your inbox.
Marketing and sales insights from the KOIRA team. No filler.
Schema Markup for Local Businesses: A Beginner's Guide
Get KOIRA