Deploy JSON-LD schema markup that earns your Miami business rich SERP results and AI search visibility.
Schema markup is the structured data layer that tells Google, Bing, ChatGPT, Perplexity, and AI Overviews what entities exist on your site. NAP-consistent LocalBusiness schema feeds Map Pack ranking. FAQPage schema earns FAQ rich snippets. Review schema produces star ratings in SERP. Person schema builds E-E-A-T authority. Every schema retainer is deployed by founder Jobin John from the Brickell office.
Schema Markup Services Miami is the practice of deploying JSON-LD structured data on a website that tells search engines and AI search engines what entities exist on each page. The vocabulary is defined at Schema.org and supported by Google, Bing, Yandex, ChatGPT, Perplexity, Google AI Overviews, Bing Copilot, and Claude. Schema work covers LocalBusiness schema with full attributes (geo coordinates, area served, opening hours, accepted payment types, price range, services offered), Organization schema with brand identity and sameAs social profile linking, Person schema for founders and authors to build E-E-A-T authority signal, WebPage schema with mainEntity linking, BreadcrumbList schema for site hierarchy, FAQPage schema for FAQ rich snippets, Article and BlogPosting schema on content marketing pages, Review and AggregateRating schema from real customer reviews, Service schema with hasOfferCatalog for service businesses, and industry-specific schema types (LegalService for law firms, MedicalBusiness for medical practices, Restaurant with Menu and MenuItem for restaurants, Hotel with Room for hospitality, RealEstateAgent for realtors, HealthAndBeautyBusiness for med spas, MedicalProcedure for procedures, FinancialService for advisors, Product with Offer for ecommerce). Schema markup enables rich results in SERP, feeds AI search engines for Answer Engine Optimization, supports voice search readiness, and contributes to Knowledge Graph entity recognition for E-E-A-T scoring.
Bilingual schema properties, multi-location architecture, and industry-specific subtypes change which schema deployments actually earn rich results here.
Generic schema deployment playbooks miss three structural realities specific to Miami brands competing in local search and AI search.
Bilingual schema properties matter in Miami brand visibility
Roughly 30 percent of Miami local search happens in Spanish. Schema markup supports the inLanguage property for content in Spanish. Bilingual brands need Spanish-language LocalBusiness descriptions, Spanish FAQPage schema, Spanish Article schema, and Spanish review content tagged with inLanguage es. Most agencies skip Spanish schema entirely, leaving the bilingual visibility gap that costs AI search results on Spanish queries.
Multi-location schema architecture for South Florida brands
Many Miami brands operate 2 to 5 locations across Miami-Dade and Broward. Each location needs its own LocalBusiness schema with parentOrganization linking back to the brand Organization entity. Schema collisions, address conflicts, and identity confusion happen when multi-location schema gets deployed wrong. Proper parentOrganization architecture lets Google distinguish each location while attributing brand authority across all of them.
Industry-specific schema subtypes carry more weight in Miami verticals
Miami's heavy concentration in legal, medical, hospitality, plastic surgery, and luxury verticals means industry-specific schema subtypes (LegalService, MedicalBusiness, MedicalProcedure, Restaurant, Menu, Hotel, RealEstateAgent, HealthAndBeautyBusiness) matter more here than generic metros. Generic LocalBusiness schema misses the vertical-specific rich results that industry subtypes enable in SERP and AI search.
Ten schema types every Miami business should deploy in 2026.
Schema.org defines hundreds of types, but ten core types cover 90 percent of the visibility benefit for most Miami brands. Industry-specific schema layers on top of these ten foundational types.
LocalBusiness schema with full attributes
The foundation entity. Includes business name, address, phone, geo coordinates, opening hours, price range, area served, accepted payment types, and services offered. Required for Map Pack signal. Use the most specific subtype available (Restaurant, MedicalBusiness, LegalService, RealEstateAgent).
Organization schema for brand identity
Brand-level entity distinct from LocalBusiness. Includes logo, founding date, founders (linked via Person), sameAs property with all social profile URLs (LinkedIn, Facebook, YouTube, Instagram, X). Connects to LocalBusiness via parentOrganization for multi-location brands.
Person schema for founders and team
Authority entity for E-E-A-T signal. Includes job title, knowsAbout array of 10 to 15 topics, alumniOf education and certifications, sameAs social profile linking, knowsLanguage. Maps to author credibility for blog content and feeds AI search attribution.
WebPage schema on every page
Page-level metadata specifying page type, inLanguage, datePublished, dateModified, and mainEntity (the primary thing the page is about). Connects to Service, Product, Article, or FAQPage entities as appropriate.
BreadcrumbList schema for site structure
Three-level minimum breadcrumb schema on service pages, location pages, industry pages, and blog posts. Produces breadcrumb rich snippets in SERP and helps Google understand URL hierarchy for site architecture signals.
FAQPage schema for rich snippets
FAQ rich snippets in SERP. Reduces click loss on competitive queries. Critical for Answer Engine Optimization because ChatGPT, Perplexity, and Google AI Overviews pull from FAQ schema heavily when generating answers to user queries.
Article and BlogPosting schema
Content schema for blog posts. Includes author (Person), datePublished, dateModified, image, headline. Required for article rich results, Discover surface visibility, and AI search citation. NewsArticle subtype for time-sensitive news content.
Review and AggregateRating schema
Review stars in SERP for click-through rate lift. Must come from real first-party reviews following Google's review schema guidelines. Self-aggregated review schema from third parties gets filtered. FTC-compliant attribution required.
Service schema with hasOfferCatalog
Service entities with offer catalog. Includes serviceType, areaServed, audience, and price specifications via UnitPriceSpecification. Required for service-based Miami businesses showing pricing tiers or service offerings.
Product and Offer schema for ecommerce
Product rich results in SERP and Google Shopping. Includes price, availability, brand, GTIN, MPN, AggregateRating from real reviews. Required for ecommerce businesses competing in shopping results and product feed AI search responses.
Every Schema Markup retainer runs twelve work streams.
The retainer is not a one-shot deployment. It is twelve sequenced work streams across audit, foundational schema, page-specific schema, industry-specific schema, validation, and monitoring, scoped to your Miami business vertical and competitive density.
Initial schema audit at month 1
Existing schema review across the site. Schema.org validator pass. Google Rich Results Test pass. Competitor schema gap analysis. Schema strategy locked with prioritized deployment queue.
LocalBusiness schema deployed site-wide
Site-wide LocalBusiness schema with full attributes: geo coordinates, area served, opening hours, accepted payment types, price range, services offered, openingHoursSpecification with day-of-week pattern. Most specific subtype used for the business vertical.
Organization schema with brand identity
Brand entity with logo, founding date, founders (linked via Person), sameAs property with all verified social profile URLs. Connects to LocalBusiness via parentOrganization for multi-location brands.
Person schema for founder and key team
E-E-A-T authority schema. Founder bio with job title, knowsAbout array of 10 to 15 topical entities, alumniOf education and certifications, sameAs social linking, knowsLanguage. Maps to author attribution on blog content.
WebPage schema on every page
Page-type-specific WebPage schema with mainEntity linking, inLanguage specification, datePublished and dateModified properties. Connects to the primary entity each page is about (Service, Product, Article, FAQPage).
BreadcrumbList schema on hierarchy pages
Three-level breadcrumb schema on service pages, location pages, industry pages, and blog posts. Produces breadcrumb rich snippets in SERP and supports URL hierarchy signals.
FAQPage schema on FAQ-containing pages
FAQPage schema with 5 to 8 questions per page. Each Q and A written for natural language answer engines. Critical for AEO because AI search engines pull from FAQ schema heavily when generating answers.
Article schema on blog content
BlogPosting or NewsArticle schema with author (linked Person), datePublished, dateModified, image, headline, articleBody. Required for article rich results and AI search source citation.
Review and AggregateRating schema
Review schema from real first-party customer reviews. Aggregate rating with reviewCount and ratingValue. FTC-compliant attribution. Follows Google's review schema guidelines for first-party reviews only.
Service schema with hasOfferCatalog
Service entities with offer catalog covering serviceType, areaServed, audience, and price specifications. Required for B2B and service-based Miami businesses showing pricing tiers or service offerings.
Industry-specific schema deployment
Vertical-specific schema types tailored to the business. MedicalProcedure and Physician for medical practices. Menu and MenuItem for restaurants. Hotel and Room for hospitality. Product and Offer for ecommerce. RealEstateAgent for realtors.
Schema validation and quarterly monitoring
Initial validation at Schema.org, Google Rich Results Test, and Google Search Console rich results report. Quarterly re-validation catches deprecated properties before they suppress rich results. Schema updates as Google adds new properties.
Six kinds of Miami businesses that need schema work right now.
Schema markup fits specific business situations. If yours matches one below, the first strategy call moves more quickly and shapes whether ongoing retainer or one-time deployment makes more sense.
Brands with zero schema markup currently deployed
Your site has no JSON-LD, no microdata, no schema at all. Common in older WordPress sites, custom-coded sites, and Wix or Squarespace sites without schema plugins. Schema deployment from scratch is the cleanest starting point because there is no existing technical debt to untangle.
Brands with broken or invalid schema (validator errors)
Existing schema that fails Schema.org validator or Google Rich Results Test. Common causes: missing required properties, invalid date formats, broken @id references between entities, deprecated types still in use. Broken schema can hide rich results entirely and confuse Google's entity recognition.
Brands missing industry-specific schema subtypes
You have generic LocalBusiness schema deployed but not your industry's specific subtype (Restaurant, MedicalBusiness, LegalService, RealEstateAgent, HealthAndBeautyBusiness). Industry-specific schema enables vertical-specific rich results that generic LocalBusiness schema cannot trigger in SERP or AI search.
Multi-location Miami brands needing per-location schema
3 or more Miami-Dade or Broward locations needing per-location LocalBusiness schema with parentOrganization linking back to the brand Organization. Without proper schema architecture, Google cannot distinguish your locations from each other, causing identity confusion and Map Pack ranking issues.
Brands targeting AI search visibility (AEO, GEO, LLMO)
You want to appear in ChatGPT, Perplexity, Google AI Overviews, Bing Copilot, and Claude answers. AI search engines pull from structured data heavily when generating responses. Schema markup is the foundation layer for Answer Engine Optimization, Generative Engine Optimization, and Large Language Model Optimization work.
Brands with rich results that recently disappeared from SERP
You used to get FAQ rich results, review stars, or breadcrumb snippets in SERP. They are gone now. Common causes: Google deprecating the schema type, schema validation failures triggered by site updates, content policy violations on review schema, or schema-content mismatch where the schema describes content that does not exist on the page.
Six things Miami buyers get wrong about schema markup and the actual reality.
Most of what circulates about schema markup comes from outdated 2018-era playbooks or AI-generated content marketing that misstates how rich results actually work. Here is what is actually true in 2026 for Miami brands deploying structured data.
Schema markup directly improves SEO rankings.
Schema is not a direct ranking factor (Google has stated this repeatedly). The indirect ranking benefit comes through higher CTR from rich results (FAQ snippets, review stars), better entity recognition in Google's Knowledge Graph, improved AI search visibility, and LocalBusiness schema feeding Map Pack signals. Combined effect produces measurable traffic lift over 90 to 180 days.
Microdata is fine, no need to switch to JSON-LD.
Google strongly prefers JSON-LD over microdata or RDFa. Microdata and RDFa are technically supported but JSON-LD is the recommended format and processes faster. New schema deployments should use JSON-LD exclusively. Existing microdata can stay but should be migrated to JSON-LD over time for clean deployment.
Schema deployment is set-and-forget once it is live.
Google deprecates and adds schema properties regularly. Annual schema review minimum, quarterly preferred. Failed schema can hide rich results entirely. Site updates (theme changes, plugin updates, content management system migrations) can break schema. Ongoing validation catches issues before they suppress rich results in SERP.
One WordPress plugin covers everything we need.
WordPress plugins (Yoast SEO, RankMath, Schema Pro) cover roughly 70 percent of common schema types automatically. Plugins typically miss industry-specific schema (MedicalProcedure, Restaurant Menu, RealEstateAgent properties), Review schema with proper attribution, multi-location LocalBusiness architecture with parentOrganization linking, and custom Person schema for founders. Manual JSON-LD additions cover the remaining 30 percent.
Schema markup only matters for traditional SEO.
Schema also feeds AI search engines (ChatGPT, Perplexity, Google AI Overviews, Bing Copilot, Claude), voice assistants (Siri, Alexa, Google Assistant), and Knowledge Graph entity recognition for E-E-A-T signals. In 2026, schema markup is the foundation layer for AI search visibility, not just rich results in standard SERP.
All review schema is allowed and will show stars in SERP.
Google restricts review schema to first-party reviews of the business itself. Self-aggregated reviews from third parties get filtered out of rich results. Review schema must include reviewBody, author (Person), datePublished, and reviewRating. Schema must match content visible on the page. Violations get review schema penalized or filtered from rich results entirely.
Five steps. Built for Miami schema depth.
The Flamingo Method is the five-step framework every retainer follows. For schema markup, each step has a specific scope and shipping deadline.
Foundation Audit
Existing schema review across the site. Validation report at Schema.org and Google Rich Results Test. Competitor schema gap analysis. Required schema types identified by page type and vertical. AI search readiness baseline measured.
Days 1 to 7Topical Authority Map
Schema strategy locked. Schema types prioritized by visibility impact. Industry-specific schema mapped to vertical. AI search readiness gaps identified across FAQPage and Article schema. Person schema knowsAbout array drafted for founder and authors.
Days 8 to 14Local Signal Stack
LocalBusiness schema deployed site-wide with full attributes. Organization schema deployed with sameAs linking. Person schema deployed for founder. BreadcrumbList deployed on all hierarchy pages. Initial validation pass at Schema.org and Google Rich Results Test.
Days 15 to 30Content Velocity
Page-specific schema deployed (FAQPage, Article, Review, Service). Industry-specific schema deployed (MedicalProcedure, Restaurant Menu, RealEstateAgent, Hotel Room). Full validation pass complete. Google Search Console rich results report monitored.
Days 31 to 60Authority Compounding
Rich results appearing in SERP. AI search visibility measurable across ChatGPT, Perplexity, and Google AI Overviews. Quarterly schema re-validation. Schema updates as Google adds properties or deprecates old types.
Days 61 and ongoingDifferent Miami verticals need different schema type mixes.
Schema markup for a Miami law firm differs from a restaurant differs from a med spa. Here is how the schema work shapes up across the ten verticals we run schema retainers for most.
Law firms
LegalService subtype of LocalBusiness, Attorney Person schema for each lawyer with knowsAbout practice areas, Service schema for each practice area with hasOfferCatalog, Review schema from real case client reviews. Bilingual Spanish schema for Hispanic client base.
Medical & dental
MedicalBusiness or Dentist subtype, Physician Person schema with credentials, MedicalProcedure schema for each procedure offered, MedicalCondition schema for conditions treated, insurance acceptance via paymentAccepted property. YMYL-grade E-E-A-T schema.
Real estate
RealEstateAgent schema, Place schema for properties listed, Service schema with hasOfferCatalog for buyer or seller services. Per-neighborhood schema work for agents covering Brickell, Wynwood, Coral Gables, Aventura, and Miami Beach.
Restaurants
Restaurant subtype, Menu schema with full MenuItem entities, MenuSection for course groupings, servesCuisine property, Review schema from real diner reviews. Photo schema attached to MenuItem entities for dish images.
Hotels & hospitality
Hotel subtype, Room schema for each room type, Amenity schema, Review schema from guest reviews. Bilingual Spanish schema for South American travelers. Event schema for hotel events and conference hosting.
Contractors & trades
HomeAndConstructionBusiness subtype, Service schema with hasOfferCatalog for each service offered, areaServed for SAB service area, Review schema. License and certification schema via hasCredential property.
Plastic surgery
MedicalClinic subtype, Physician schema with board certifications via hasCredential, MedicalProcedure schema for each procedure with proper before-after imagery attribution. YMYL-grade E-E-A-T schema with stricter validation requirements.
Med spas
HealthAndBeautyBusiness subtype, Service schema for each treatment offered, MedicalProcedure schema for invasive treatments, Review schema. Photo schema for treatment results with proper patient consent attribution.
Financial services
FinancialService subtype, Person schema for advisors with credentials via hasCredential, Service schema with hasOfferCatalog, compliance-aware schema (CFP, CFA credentials properly attributed). YMYL-grade schema with regulatory disclosure properties.
Ecommerce
Product schema with full attributes (price, availability, brand, GTIN, MPN), Offer schema for pricing, AggregateRating from real reviews. Required for Google Shopping visibility and shopping result rich results in standard SERP and AI search.
Schema work delivers in weeks not months.
Realistic schema deployment timelines for Miami brands. Core schema deploys in 2 to 3 weeks. Industry-specific schema completes in 6 to 8 weeks. Rich results in SERP appear 60 to 120 days after deployment as Google recrawls pages.
Audit complete. Strategy locked.
Existing schema audit complete. Schema.org validator errors identified. Google Rich Results Test results documented. Competitor schema gap analysis delivered. Schema strategy locked with deployment queue prioritized by visibility impact.
Foundation schema deployed.
LocalBusiness schema with full attributes deployed site-wide. Organization schema with sameAs social linking deployed. Person schema for founder deployed. BreadcrumbList schema on all hierarchy pages. WebPage schema on every page with mainEntity linking. Initial Schema.org validation pass.
Page-specific schema deployed.
FAQPage schema on FAQ-containing pages. Article and BlogPosting schema on blog content with author linking to Person. Review and AggregateRating schema from real customer reviews. Service schema with hasOfferCatalog on service pages. Google Rich Results Test pass on all schema-enabled pages.
Industry-specific schema deployed.
Vertical-specific schema types deployed: MedicalProcedure for medical practices, Menu and MenuItem for restaurants, Hotel and Room for hospitality, RealEstateAgent for realtors, Product and Offer for ecommerce. Full validation pass complete. Google Search Console rich results report monitored for first rich result appearances.
Rich results measurable in SERP.
FAQ rich snippets appearing on competitive queries. Review stars showing on review-enabled pages. Breadcrumb snippets visible in SERP. AI search visibility measurable across ChatGPT, Perplexity, Google AI Overviews, and Bing Copilot. First quarterly schema re-validation completed.
Quarterly maintenance and evolution.
Quarterly schema re-validation. Schema updates as Google adds new properties or deprecates old ones. New page schema deployment as content gets added. Annual schema strategy review. Multi-location schema expansion if the brand grows across South Florida.
Four services that compound with schema work.
Schema Markup is the structured data layer. These four sibling services build on top of schema depth. Most Miami brands run two or three in parallel with the schema retainer.
Citation Building Miami
The directory-side trust signal that pairs with site-side schema. NAP-consistent citations plus LocalBusiness schema produces the strongest local trust signal combination. Both layers active produces measurable Map Pack ranking lift over 90 to 180 days.
Read Citation Building Miami →Google Maps SEO Miami
The Map Pack ranking discipline that LocalBusiness schema directly feeds. LocalBusiness schema with full attributes is one of the 10 Map Pack ranking signals. Schema markup plus Google Maps SEO work compounds for top-3 Map Pack rankings on primary queries.
Read Google Maps SEO Miami →AEO Services Miami
Answer Engine Optimization for AI search visibility (ChatGPT, Perplexity, Google AI Overviews, Bing Copilot, Claude). AEO depends heavily on FAQPage schema, Article schema, and Person schema. Schema markup is the foundation layer for AEO and GEO work.
Read AEO Services Miami →Technical SEO Miami
The broader technical SEO discipline including schema markup, site speed, mobile usability, indexation, crawl budget, canonical tags, and structured site architecture. For brands needing full technical work alongside schema, Technical SEO bundles everything.
Read Technical SEO Miami →Which schema types matter most for your industry.
Industry-specific schema types matter substantially more in Miami's competitive verticals than generic LocalBusiness schema alone. Here is the schema mix for the three vertical clusters we deploy schema retainers for most.
Professional services
- LegalService (law firms)
- Attorney (Person subtype)
- MedicalBusiness (medical)
- Physician (Person subtype)
- Dentist (LocalBusiness subtype)
- RealEstateAgent
- FinancialService
- HomeAndConstructionBusiness
- Service with hasOfferCatalog
- hasCredential for credentials
Hospitality & retail
- Restaurant (LocalBusiness subtype)
- Menu with MenuItem entities
- MenuSection for course groupings
- servesCuisine property
- Hotel (LocalBusiness subtype)
- Room with Amenity
- BarOrPub for bars and clubs
- Event for hosted events
- FoodEstablishment subtype
- BusinessFunction for retail
Specialized verticals
- MedicalClinic (plastic surgery)
- MedicalProcedure for procedures
- MedicalCondition for conditions
- HealthAndBeautyBusiness (med spa)
- Product with full attributes
- Offer with priceSpecification
- Brand schema for ecommerce
- AggregateRating from reviews
- WarrantyPromise for products
- shippingDetails for ecommerce
Standalone at $1,500/mo, one-time at $1,500, or bundled in two higher tiers.
Schema markup scales with business complexity, multi-location scope, vertical schema depth, and AI search readiness goals. Here is how the three tiers plus one-time deployment option map to Miami business types.
For single-location Miami businesses needing ongoing schema work as content grows.
- Schema audit (Schema.org plus Google Rich Results)
- LocalBusiness with full attributes
- Organization and Person schema
- BreadcrumbList site-wide
- FAQPage on FAQ pages
- Article on blog content
- Review and AggregateRating schema
- Service with hasOfferCatalog
- Industry-specific schema types
- Quarterly re-validation
Full local SEO retainer with schema markup bundled alongside GBP, citations, Map Pack, and reviews.
- Everything in standalone schema work
- Google Business Profile management
- Citation building included
- Map Pack work and grid tracking
- Review velocity strategy
- Local link building
- Q&A monitoring on GBP
- Senior-led quarterly review
Enterprise retainer for multi-location Miami brands needing per-location schema and AEO depth.
- Everything in Growth Engine
- Multi-location schema architecture
- parentOrganization linking per location
- Industry-specific schema across verticals
- AEO and GEO schema work
- Multi-language schema for bilingual
- Direct founder access weekly
- Quarterly competitive re-audit
Jobin John is your schema strategist.
Every active Schema Markup retainer at Miami SEO Company is run personally by founder Jobin John from the Brickell office. There is no offshore schema team writing JSON-LD, no junior developer copying schema templates, no white-label vendor handling validation. The schema audit, LocalBusiness deployment, Person schema for E-E-A-T, industry-specific schema selection, validation passes, and quarterly re-validation all route to Jobin.
This boutique structure protects against the typical "plugin defaults are good enough" pattern that leaves rich results unrealized at most agency clients. Capacity stays small on purpose, so direct founder time per account stays meaningful. Schema retainers run between 10 and 14 active accounts at any time because per-page schema deployment, industry-specific schema selection, and quarterly re-validation cannot scale through plugin automation alone without sacrificing rich results coverage.
Jobin holds six active certifications across Google, SEMrush, Ahrefs, HubSpot, and RankMath. He delivered the SEOcon 2026 keynote on Answer Engine Optimization. He has personally deployed schema programs for Miami brands across legal, medical, real estate, restaurant, hospitality, contractor, financial, plastic surgery, med spa, and ecommerce verticals since 2014.
Eight skeptical questions Miami buyers actually ask.
Schema markup is structured data code (typically JSON-LD format) added to a website that tells search engines what entities are on the page. The vocabulary is defined at Schema.org and supported by Google, Bing, Yandex, and AI search engines. Common schema types include LocalBusiness (with subtypes like Restaurant, MedicalBusiness, LegalService), Organization, Person, WebPage, BreadcrumbList, FAQPage, Article, Review, AggregateRating, Service, Product, and industry-specific types like MedicalProcedure, Menu, RealEstateAgent, and Hotel. Schema markup enables rich results in SERP, feeds AI search engines, supports voice search, and contributes to Knowledge Graph entity recognition.
Schema markup matters more in 2026 than in any prior year because AI search engines (ChatGPT, Perplexity, Google AI Overviews, Bing Copilot, Claude) pull from structured data heavily when answering user queries. Beyond AI search, schema enables FAQ rich snippets, review stars, breadcrumb snippets, recipe cards, event listings, and product rich results in standard SERP. LocalBusiness schema feeds Google's Map Pack ranking signal. Person schema feeds E-E-A-T authority signals. Without schema markup, businesses miss visibility across AI search, rich results, voice search, and Knowledge Panel rendering.
Schema markup does not directly improve organic rankings. Google has stated repeatedly that schema is not a direct ranking factor. The indirect ranking benefit comes through higher click-through rates from rich results (FAQ snippets, review stars), better entity recognition for the business in Google's Knowledge Graph, improved AI search visibility that drives referral traffic, and LocalBusiness schema contributing to Map Pack ranking signals. The combined indirect benefit produces measurable traffic and visibility lift over 90 to 180 days.
Every Miami business needs LocalBusiness (with the correct subtype: Restaurant, MedicalBusiness, LegalService, RealEstateAgent), Organization, Person (founder), WebPage, BreadcrumbList, and FAQPage at minimum. Add Article schema on blog content, Review and AggregateRating on review-containing pages, and Service schema for service offerings. Industry-specific types add value: MedicalProcedure for medical practices, Menu and MenuItem for restaurants, Hotel and Room for hospitality, Product and Offer for ecommerce. A typical Miami small business deploys 8 to 12 different schema types across the site.
Validate schema in three places. Schema.org validator (validator.schema.org) checks the schema is technically valid against the vocabulary spec. Google Rich Results Test (search.google.com/test/rich-results) checks whether the schema qualifies for Google rich results and previews the rich result rendering. Google Search Console rich results report shows which pages have schema detected and whether rich results are appearing in SERP. Quarterly re-validation catches deprecated properties and missing required fields before they suppress rich results.
Schema markup services in Miami start at $1,500 per month standalone for ongoing schema work including audit, deployment, validation, industry-specific schema types, and quarterly re-validation. Growth Engine retainers at $3,000 per month bundle schema markup with local SEO, GBP, citations, review velocity, and Map Pack work. One-time schema deployment (no ongoing) is $1,500 for static-site Miami brands. Full pricing details.
WordPress plugins like Yoast SEO, RankMath, Schema Pro, and Schema and Structured Data for WP cover roughly 70 percent of common schema types automatically (LocalBusiness, Organization, Article, BreadcrumbList, FAQPage). Plugins typically miss industry-specific schema (MedicalProcedure, Restaurant Menu, RealEstateAgent properties), Review schema with proper attribution, multi-location LocalBusiness architecture with parentOrganization linking, and custom Person schema for founders and authors. For full schema coverage including industry-specific types, manual JSON-LD additions or custom plugin work is required beyond the plugin defaults.
Yes substantially. AI search engines (ChatGPT, Perplexity, Google AI Overviews, Bing Copilot, Claude) pull from structured data heavily when generating answers. FAQPage schema directly feeds AI answer generation. LocalBusiness schema feeds AI responses to local business queries. Person schema with knowsAbout feeds AI attribution of authority. Article schema with author tied to Person schema feeds AI source citations. Schema markup is the foundation layer for Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), and Large Language Model Optimization (LLMO) work.
Five related questions Miami buyers research alongside schema markup.
Sub-queries that come up after the primary schema markup search. Brief, useful answers below so this page is the last stop instead of the first.
What is the difference between JSON-LD and microdata?
JSON-LD is structured data placed in a script tag in the page head, separate from the HTML content. Microdata is attributes (itemscope, itemtype, itemprop) added directly to HTML elements. Both produce equivalent structured data, but Google strongly prefers JSON-LD because it processes faster, is easier to maintain, and decouples schema from HTML markup. New deployments should use JSON-LD exclusively.
Discuss your schema setup →Can I have multiple schema types on one page?
Yes. Most well-structured pages have 5 to 10 schema entities linked via @id references. A typical service page has WebPage, Service, LocalBusiness, Organization, Person, BreadcrumbList, and FAQPage entities all on one page using the @graph array structure. Proper @id linking prevents duplicate entity confusion in Google's Knowledge Graph.
Audit your schema setup →How does Google Rich Results Test work?
Google Rich Results Test (search.google.com/test/rich-results) accepts a URL or pasted code. It validates that schema is technically correct, identifies which rich result types the page qualifies for, and previews the rich result rendering. Different from Schema.org validator which only validates vocabulary compliance. Both tests should pass for a clean deployment.
Get help testing schema →Does schema markup work on Squarespace and Shopify?
Yes on both. Squarespace supports JSON-LD via Page Header Code Injection and Site Header Code Injection. Shopify supports JSON-LD via theme template edits or third-party schema apps. Both platforms ship with limited default schema, so manual JSON-LD additions cover industry-specific schema, Person schema for authors, and proper Review schema attribution that defaults miss.
Discuss platform-specific schema →What is Knowledge Graph and how does schema feed it?
Knowledge Graph is Google's database of entities (people, places, things, concepts) and their relationships. Schema markup is one of the strongest signals feeding entity recognition into Knowledge Graph. Organization schema with sameAs linking to verified social profiles, Person schema with knowsAbout topical authority, and LocalBusiness schema with geo and contact data all contribute to Knowledge Panel rendering for the business.
See AEO Services Miami →Start with a free schema audit.
The audit measures your existing schema markup at Schema.org validator, Google Rich Results Test, and Google Search Console rich results report. Shows where you have invalid schema, where you have missing schema types, where industry-specific schema would unlock rich results, and where your competitors are deploying schema you are missing. Includes prioritized deployment roadmap and validation checklist. No pressure, no contract, no charge. We only bring up retainer scope when the audit makes a clear case for it. Either way, you walk away with the document and a clear next-step list.