Compose the right schema pack for each location automatically, based on what that location actually is
Per-location vertical schema packs assembled from your canonical location data, with the right state-by-state and federal rules applied without anyone remembering which is which.
The problem
You run an 80-location dental DSO. 60 are clinical locations that need Dentist plus MedicalBusiness schema. 12 are admin offices that need LocalBusiness only — putting Dentist on them is wrong and can hurt rankings. 8 are specialty centers that need Dentist plus Orthodontist plus Periodontics plus MedicalSpecialty. Your SEO engineer composed the packs in a Google Doc last quarter and shipped templates to dev. The template did not differentiate — half the admin offices ended up with Dentist schema. Google Search Console now flags 1,400 LocalBusiness gaps plus 200 erroneous Dentist tags. Schema App ships per-industry templates but does not know which of your locations is which type. Schema.org publishes the per-industry definitions but does not compose them for your specific brand. The default outcome is a multi-week cleanup sprint to remove the wrong tags and add the right ones, plus a slow ranking recovery while Google re-crawls. The root cause is simple: nothing connects your canonical location data — which says this office is clinical, that one is admin — to the schema pack that gets published on each page.
What success looks like
Each location's vertical type (clinical, admin, specialty, retail, hospitality, automotive, financial, legal, professional) is detected from your canonical location data and the right schema pack is composed automatically. Clinical dental gets Dentist plus MedicalBusiness. Admin offices get LocalBusiness only. Specialty centers get Dentist plus Orthodontist plus MedicalSpecialty. QSR locations get Restaurant plus FoodEstablishment plus Menu. Hotels get Hotel plus Lodging plus LodgingReservation. State-specific and federal rules apply automatically (HIPAA for dental and medical, FDA for medical-device and pharma, FINRA for financial, GDPR in EU jurisdictions, CCPA in California). Multi-banner operators with mixed verticals see one consolidated vertical schema audit. Every pack composition is preserved with a timestamp, the vertical, and the compliance attestation — so an auditor or an SEO post-mortem can answer how every page got the schema it has.
How most operators solve this today
Five categories of tools touch per-vertical schema today. None of them compose the right pack per location automatically:
Schema generators with per-industry templates (Schema App, Schema Pro, Yoast, Rank Math, All In One SEO, Merkle Schema Generator)
$50 to $1,000+ per month or annual
Page-level templates. Someone still has to pick the right template for each page — and remember to change it when the location type changes.
Schema.org's free per-industry documentation
Free
Definitions, not composition. Schema.org publishes what a Dentist schema looks like. It does not know your 80 locations.
Enterprise SEO suites with industry-aware schema modules (Ahrefs, Semrush, Conductor, BrightEdge, seoClarity, Botify)
$129 to $499+ per user per month, plus enterprise tiers
Validate schema after publish. They do not compose the right pack per location before publish.
In-house engineering with per-vertical schema authoring
$130,000 to $210,000 per year per engineer, plus four to twelve weeks per vertical
Manual per-vertical work with per-jurisdiction review. Falls behind every quarter as schema.org evolves and verticals expand.
Build it in-house
Custom mapping tables wired into your CMS, plus ongoing maintenance
Possible, but the per-vertical compliance overlays change and the mapping decays unless someone owns it full-time.
What changes when this is an agent skill
Each location's vertical type is detected from your canonical location data and the right schema pack is composed automatically. The pack library covers Dentist plus MedicalBusiness plus MedicalSpecialty for healthcare, Restaurant plus FoodEstablishment plus Menu for QSR, LocalBusiness for admin and professional, Store plus Product plus Offer for retail, Hotel plus Lodging for hospitality, AutoDealer plus AutomotiveBusiness for automotive, FinancialService plus Bank for financial, HealthClub plus SportsActivityLocation for fitness, Veterinary, LegalService, HomeAndConstructionBusiness, and ProfessionalService. State-specific and federal rules apply automatically — HIPAA on dental and medical, FDA on medical-device and pharma, FINRA on financial, GDPR in EU jurisdictions, CCPA in California. When a location type changes — an admin office expands into a clinical practice, a retail store adds a service desk — the pack updates automatically because the source data updated. Multi-banner operators with mixed verticals see one consolidated audit. Every pack composition is preserved with a timestamp, the vertical, and the compliance attestation.
Agents that include this skill
Skills live inside agent rentals. To get this skill in production, hire any of the agents below — context-tuning at onboarding is included in the first month.
Schema Audit + Remediation Agent
Owns the JSON-LD schema graph — audit, generation, remediation, vertical schema packs, rich-result eligibility, quarterly schema.org absorption.
FAQ
- What does per-vertical schema pack composition actually do?
- It detects each location's vertical type from your canonical location data and composes the right schema pack automatically — clinical dental gets one pack, admin offices get another, specialty centers get a third. You stop having to remember which template goes where.
- How is this different from Schema App, Yoast, Rank Math, or Merkle Schema Generator?
- Those ship per-industry templates. Someone still picks the template for each page. This picks for you based on what the location actually is.
- How is this different from schema.org's own docs?
- Schema.org publishes the definitions. This composes them per location for your specific brand.
- How is this different from Ahrefs, Semrush, Conductor, BrightEdge, seoClarity, or Botify?
- Those validate schema after publish. This composes the right pack before publish, so the validators have fewer issues to surface.
- Which verticals are supported?
- Healthcare (Dentist, MedicalBusiness, MedicalSpecialty, Veterinary), food service (Restaurant, FoodEstablishment, Menu), retail (Store, Product, Offer), hospitality (Hotel, Lodging, LodgingReservation), automotive (AutoDealer, AutomotiveBusiness), financial (FinancialService, Bank), fitness (HealthClub, SportsActivityLocation), legal, professional services, and home and construction.
- What happens when a location's type changes?
- The pack updates automatically. If you convert an admin office into a clinical practice or a retail store adds a service desk, the schema follows the source data.
- Does it work for multi-banner operators with mixed verticals?
- Yes. Each location gets the right pack for its vertical, and you see one consolidated audit across every brand.
- Can an auditor or SEO post-mortem trace why a page got the schema it has?
- Yes. Every pack composition is preserved with a timestamp, the vertical, and the compliance attestation.