AI can generate a JSON-LD template in 10 seconds. It will have placeholder addresses, guessed coordinates, and missing business hours. Our engine reads your live website and assembles schema from verified scan data that no prompt can replicate.
Available with all paid plans ($27+) · Powered by 5-Scanner Pipeline + Entity Extraction + Schema Validation
Every AI model will happily generate JSON-LD for your business. Every one of them will get critical fields wrong.
What you get when you ask any AI to "generate JSON-LD schema for my business":
What our engine builds by reading your actual website through 5 parallel scanners:
When ChatGPT generates geo coordinates by guessing from a city name, the result can be off by several kilometers. Google uses schema coordinates for Maps and local pack placement. Incorrect coordinates can place your business pin in the wrong neighborhood, the wrong city, or — in cross-border areas — the wrong country. Our generator reads coordinates that already exist on your site, verified by your own schema or Google Business Profile data.
Five scanners execute in parallel. The generator assembles from their output. Zero templates involved.
Reads every JSON-LD block on your site, flattens @graph arrays, identifies types
NER identifies services, features, locations, organizations, people from page content
Business name, phone, address, social links, tech stack from visible page + schema
Schema Doctor checks required/recommended fields per type, scores health
Verified data assembled into deployment-ready JSON-LD with all structured fields
ChatGPT, Claude, and Gemini have no ability to fetch a URL and read its HTML. They cannot extract existing JSON-LD from your pages. They cannot detect which of 22 LocalBusiness subtypes your site uses. They cannot pull your real aggregateRating, openingHoursSpecification, or geo coordinates from live schema blocks. Every field they produce is either a guess based on your prompt text or a placeholder you have to manually verify and replace.
Every row below represents a field in the generated JSON-LD. Our generator reads it from your site. AI guesses it.
| Schema Field | Our Generator | AI Prompt |
|---|---|---|
| @type (business subtype) | Auto-detected from 22 subtypes on your site | Defaults to generic "LocalBusiness" |
| geo (lat/long coordinates) | Extracted from existing schema data | Guessed from city name — often wrong |
| openingHoursSpecification | Read from live structured data blocks | Missing or requires manual entry |
| aggregateRating | Real ratingValue + reviewCount extracted | Cannot access — omitted entirely |
| address (full PostalAddress) | Parsed into locality, region, postal code, country | Single-string placeholder from prompt |
| telephone + contactPoint | Verified from schema + tel: links on page | Only what you type in the prompt |
| hasOfferCatalog (services) | Service entities extracted via NER from page | Not included unless you manually list each one |
| knowsAbout | Features + services + industry from entity scan | Not included — AI doesn't know this field exists |
| sameAs (social links) | Crawled from page — Facebook, Instagram, LinkedIn, etc. | Only if you paste each URL into the prompt |
| areaServed | Extracted from existing schema areaServed data | Not included |
| priceRange | Read from live schema data if present | Not included |
Each one requires live access to your website — something no language model has.
Our scanner reads the GeoCoordinates object from your existing JSON-LD blocks — latitude and longitude verified to your actual location. AI models estimate coordinates from a city or address string, which can place your pin blocks away from your real location. Google Maps and AI local recommendations rely on precise geo data.
The generator reads openingHoursSpecification arrays directly from your existing structured data. This includes day-of-week, opens, closes times — exactly as they appear on your site. AI cannot access your pages to read these. Any hours it generates are either generic ("Mon-Fri 9-5") or require you to type every day's schedule into the prompt.
Our engine scans your JSON-LD blocks for AggregateRating objects — your real ratingValue, reviewCount, and bestRating. AI models have no mechanism to check your actual review score. Fabricating a rating in schema markup without verifiable data is a structured data policy violation that Google's Rich Results system will flag.
The generator recognizes 22 schema.org LocalBusiness subtypes: ProfessionalService, Restaurant, Store, MedicalBusiness, Dentist, Plumber, Electrician, RoofingContractor, HVACBusiness, Attorney, RealEstateAgent, FinancialService, AutomotiveBusiness, LodgingBusiness, FoodEstablishment, HealthAndBeautyBusiness, EntertainmentBusiness, LegalService, Locksmith, MovingCompany, HomeAndConstructionBusiness. AI defaults to the generic "LocalBusiness" unless you tell it otherwise — and most business owners don't know the correct subtype.
Our Site Intelligence scanner performs Named Entity Recognition across your page content and existing schema blocks. It identifies Service entities, Feature entities, and industry markers — then injects them as hasOfferCatalog and knowsAbout arrays. AI models don't crawl your site to extract these. They can only use services you explicitly state in the prompt — which means missed capabilities that AI search engines never learn about.
The generator parses your address into structured PostalAddress with separate fields: streetAddress, addressLocality, addressRegion, postalCode, addressCountry. It cross-references your phone number from schema, tel: links, and visible page text through our Contact Integrity Scanner to ensure the generated contactPoint uses the correct, consistent number. AI writes your address as a single string — Google's rich results system prefers the structured breakdown.
Our scanner detects social media links embedded in your website — Facebook, Instagram, LinkedIn, YouTube, X/Twitter — and injects them as sameAs entries. This is a critical signal for AI entity resolution: it proves to Google and AI models that your schema entity is the same entity that has those social profiles. AI cannot discover your social links without crawling your site.
This is not marketing spin. These are architectural limitations of how large language models work.
ChatGPT, Claude, and Gemini are text-completion engines. They do not have HTTP clients. When you say "generate schema for example.com," they are not visiting that URL — they are predicting what schema for a business at that domain might look like, based on training data. Our 5-scanner pipeline performs real HTTP requests, parses the HTML response, extracts JSON-LD blocks, and reads the actual structured data on your pages.
If your site already has a LocalBusiness schema with hours, ratings, and geo — AI doesn't know it exists. It will generate a second, conflicting schema block from scratch instead of building on what's already there. Our generator reads your existing blocks first, then assembles a unified schema from verified data.
Ask ChatGPT for the coordinates of "8532 Jasper Ave NW, Edmonton, AB" and you will get an approximation of downtown Edmonton — not the precise location of that street address. Our scanner reads the GeoCoordinates object from your existing schema data, which was set by the person who actually knows where the building is.
Every field AI generates must be manually verified: Is this the right address? Are these the real hours? Is that rating accurate? Is the @type correct? With our generator, the answer is already verified — because the data came from your live website, not from a language model's prediction of what your site probably says.
If you're deploying schema for clients, here's the advantage.
"We don't use AI to guess your schema — we scan your actual website. Our engine reads your existing structured data, extracts your real business hours, review ratings, geo coordinates, services, and social profiles, then assembles a validated JSON-LD block that Google's Rich Results system can immediately verify. The result is production-ready markup with zero placeholders. Deploy it, and Google starts surfacing your client's rich snippets within 1–3 crawl cycles."
Clients who paste AI-generated schema onto their site often introduce errors: duplicate schema blocks with conflicting data, wrong LocalBusiness subtype, fabricated coordinates, missing required fields. Google's Structured Data Testing Tool will flag these issues — and in some cases, invalid schema performs worse than no schema at all. Our generator produces Schema Doctor-validated output that passes validation before it ever reaches the site.
Get a JSON-LD schema block built from your actual website data — not a template with placeholders. Included with every paid plan ($27+).
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How we validate every schema block on your site for required and recommended fields across 15+ types.
How the 0-100 AI Visibility Score is calculated — schema, bot access, speed, and SEO health.
How NER entity extraction identifies your services, features, locations, and industry signals.
How we cross-reference phone numbers and addresses across schema, tel: links, and visible page text.