What information do I need to use the Schema Generator?

Eight basics: business name, full address, phone number, business category, hours, service area, price range, and your website plus social profiles. You enter plain fields and it writes valid LocalBusiness JSON-LD for you — no coding. The social profiles become sameAs links, which help AI engines confirm you're one real, consistent entity.

After I paste the schema, how do I know it worked?

Run your URL through Google's Rich Results Test at search.google.com/test/rich-results — a green check means it's valid. The most important thing to verify is that you pasted it exactly once: a second copy in a page template creates two competing LocalBusiness declarations, and crawlers either pick the wrong one or ignore both. Generate a clean block at /tools/schema-generator/.

Schema Generator: Make Your Site AI-Readable, No JSON

You shouldn't have to learn what a JSON object is to get found by ChatGPT. You run a plumbing company, a bakery, a dental practice. Your job isn't curly-brace syntax. Yet I've watched owners burn an afternoon hand-coding schema, or pay a developer a few hundred dollars to add twenty lines of markup to one page, or paste a broken snippet from a 2019 blog post and then wonder why Search Console is throwing errors.

The Schema Generator exists to delete that whole problem. You fill in eight fields, it outputs a block of LocalBusiness JSON-LD that validates cleanly, and you paste it into your site once. About three minutes, no code.

Why this matters when nobody clicks anymore

Structured data earns its keep precisely because behaviour has shifted. Semrush found that 58.5% of US searches now end without a click — and for searches that trigger an AI Overview, the zero-click rate climbs toward 80%. When the answer is assembled for the user instead of clicked through to, the machine-readable version of your business details is what gets read.

Schema is that machine-readable version of your About page. It states "this business is a dentist in Calgary, open Tuesday 9–5, in this price range, serving these suburbs" in a format built for software. Microsoft has confirmed that Bing and Copilot use structured data to help their models interpret pages. Without it, an engine has to infer those facts from your prose — and inference is where it gets your hours or your service area wrong.

The 8 fields, and why each one is there

Every field maps to something a customer — or an AI acting for them — wants to know:

Business name — exactly as it appears on your signage and Google Business Profile. Mismatches here muddy entity recognition.
Street address, city, region, postal code — four separate fields, because schema needs them separated, not as one free-text blob.
Phone number — in clean +1-… format. The tool formats it for you.
Business category — one of the hundreds of LocalBusiness subtypes (Plumber, Bakery, Dentist). Specificity wins.
Hours of operation — per day, with open and close times. Closed days count too.
Service area — a radius or a list of cities you serve. This becomes areaServed.
Price range — one to four dollar signs. Yes, it's a real schema field.
Website and social profiles — these become sameAs links, which is how an engine confirms you're one real business with consistent profiles, not a scam page.

That's it. No JSON knowledge, no Stack Overflow tabs.

What the output looks like

Here's a representative block the tool produces:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "GeneralContractor",
  "name": "Northside Renovations",
  "image": "https://example.com/logo.png",
  "url": "https://example.com",
  "telephone": "+1-403-555-0188",
  "priceRange": "$$$",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "1212 31 Ave NE",
    "addressLocality": "Calgary",
    "addressRegion": "AB",
    "postalCode": "T2E 7S8",
    "addressCountry": "CA"
  },
  "openingHoursSpecification": [{
    "@type": "OpeningHoursSpecification",
    "dayOfWeek": ["Monday","Tuesday","Wednesday","Thursday","Friday"],
    "opens": "09:00",
    "closes": "17:00"
  }],
  "areaServed": ["Calgary","Airdrie","Okotoks"],
  "sameAs": [
    "https://www.instagram.com/example",
    "https://g.page/example"
  ]
}
</script>

Code you didn't have to write, with zero errors in Google's Rich Results Test.

Where to paste it — and the one mistake to avoid

The block goes inside the <head> of your site's HTML. On WordPress, most themes have a header-scripts field, or you can use a plugin like WPCode. On Shopify it's theme.liquid; on Squarespace it's Code Injection.

Paste it exactly once.

Note

The most common schema mistake I see is pasting the block twice — once in the header and once in a page template. Crawlers then find two competing LocalBusiness declarations and either pick the wrong one or ignore both. One paste, one test, move on.

After pasting, run your URL through Google's Rich Results Test. A green check means you're done. A red error means a field is off — paste the block back into the generator's validator and it'll tell you which one.

One paste, two surfaces

The same LocalBusiness markup that makes you eligible for Google's local features is also the format ChatGPT, Perplexity, and Gemini parse when assembling an answer about businesses in your category. Be clear-eyed about the limit, though: schema supports the facts; it doesn't replace good content. The engines still read your visible text first. Schema's job is to remove ambiguity about who and where you are — the Recognize layer — so the engine trusts the details enough to repeat them.

Head to the Schema Generator, fill in the eight fields, paste the output once, and test it. If you hit an edge case — multiple locations, a franchise, unusual hours — hello@rankinglocal.ai reaches me directly.