Schema Markup Consulting

I'm an independent schema markup consultant specializing in structured data strategy, audits and implementation. Whether you need to fix broken markup, build a complete structured data strategy or implement schema correctly from scratch, you work directly with me from start to finish.

What is schema markup consulting?

Schema markup consulting is expert help planning, auditing and implementing structured data on your website. Schema markup is code, usually JSON-LD, that describes your content in the Schema.org vocabulary so search engines and AI systems can understand the entities on a page and how they relate to each other.

Adding a few snippets from a plugin is easy. Getting structured data right across a whole site is not: types need to match the content, properties need to meet Google's requirements, and entities need consistent @id values so they connect into a single graph instead of dozens of disconnected fragments.

When to hire a schema markup consultant

  • Search Console reports structured data errors or warnings you can't resolve
  • You're migrating or redesigning a site and want markup built into the templates
  • Rich results have disappeared or never appeared for eligible pages
  • You want your brand, people and products recognised as entities in search and AI answers
  • Your development team needs a clear specification rather than trial and error

If you want to understand the upside first, read the benefits of schema markup.

Benefits

Why invest in schema markup

Structured data helps search engines understand what your content is about — not just the words on the page, but the entities, relationships, and context behind them. Done correctly, schema markup can unlock rich results, improve entity recognition in the Knowledge Graph, and give your content an advantage as search increasingly relies on structured signals for AI-generated answers.

Stronger presence in rich results

Properly implemented schema markup can trigger rich snippets: star ratings, product details, availability and more - that make your listings more visible and clickable in search results.

Better entity recognition

When your business, products, and people are marked up with accurate structured data, search engines can identify them as distinct entities and connect them to the broader Knowledge Graph and strengthen your site's authority and credibility.

Future-proof your search visibility

AI-powered search experiences increasingly rely on structured, machine-readable data to surface and cite content. Schema markup positions your site to perform in both traditional and AI-driven search environments.

What's included

Practical schema markup deliverables you can act on immediately

Every engagement ends with markup and documentation your developers or CMS team can ship, not a slide deck.

  • Schema markup audit

    A line-by-line review of your existing structured data — covering validation errors, missing properties, incorrect schema types, and opportunities you're currently missing.

  • Schema type mapping

    Recommendations on which schema types best fit your site's content and business goals, including entity relationships across Organization, Person, Product, Service, Article, BreadcrumbList, and more.

  • JSON-LD implementation

    Clean, well-structured JSON-LD markup written to spec - ready to deploy, with clear instructions for your development team or CMS.

  • Scalable schema markup templates

    Reusable structured data templates for your key page types, built so your team can roll out correct markup site-wide without starting from scratch each time.

  • Entity graph strategy

    Guidance on how to connect your entities using @id references, sameAs properties, and @graph structures to build a coherent, machine-readable representation of your business.

  • Prioritized implementation roadmap

    A clear, prioritized list of schema markup actions ordered by impact and implementation effort.

How it works

A structured process from audit to implementation

  1. 1

    Understand your website and goals

    I start by reviewing your site structure, existing markup, business context and where schema markup can make the most impact, whether that's rich results, entity graph coverage or AI visibility.

  2. 2

    Schema markup audit

    A detailed review of your current structured data implementation: errors, missing types, incorrect nesting, outdated markup, and gaps relative to what Google currently supports and rewards.

  3. 3

    Build a structured data strategy

    Based on the audit findings, I develop a schema markup strategy tailored to your site: covering which schema types to implement, property priorities, and how to structure your entity graph correctly.

  4. 4

    Create and implement the markup

    I can write the JSON-LD directly, or work closely with your development team to ensure clean, valid, and strategically sound implementation across all relevant page types.

  5. 5

    Validate and refine

    After implementation, I validate the markup against Google's Rich Results Test and Schema.org specifications, and provide guidance on monitoring performance over time.

Pricing

Schema markup consulting packages

Start with an audit to see what's broken and what's missing, or go straight to a full structured data strategy.

Schema Markup Audit

Custom

Best for sites that need to understand what's currently wrong with their structured data and what to fix first.

  • Full structured data audit
  • Error and warning review
  • Schema type gap analysis
  • Rich result eligibility check
  • Prioritized recommendations
  • Not included: JSON-LD templates for key page types
  • Not included: Entity graph strategy (@id, sameAs, @graph)
  • Not included: Rich result recommendations

Schema Markup Strategy

Custom

A complete structured data strategy for sites that want to go beyond fixing errors and build schema markup that actually supports their SEO goals.

  • Everything in schema markup audit
  • Schema type mapping
  • JSON-LD templates for key page types
  • Entity graph strategy (@id, sameAs, @graph)
  • Rich result recommendations
Aubrey Yung

Who you'll work with

Aubrey Yung

SEO Manager & Schema Markup Consultant

Aubrey is an SEO Manager and Schema Markup Consultant with 7+ years of B2B and B2C marketing experience.

  • Schema Markup
  • International SEO
  • Technical SEO
  • Content Strategy
More about me →

FAQ

Schema markup consulting FAQs

What's the difference between a schema markup audit and schema markup consulting?

A schema markup audit reviews your existing structured data for errors, gaps and missed opportunities. Schema markup consulting goes further and covers strategy, entity graph planning, implementation guidance and ongoing support as your site evolves.

Can you work with my development team?

Yes. I can write implementation-ready JSON-LD and work directly with your developers to clarify technical requirements and ensure the markup is deployed correctly across all page types.

What schema types do you work with?

I work across the full Schema.org vocabulary, including Organization, Person, Product, Service, Article, WebPage, BreadcrumbList, FAQPage, LocalBusiness, Event, SoftwareApplication, Review, and more, including lesser-used types relevant to specific industries or content structures.

How long does a schema markup audit take?

Typically 5–10 business days depending on site size and complexity. You'll receive a written report with prioritized recommendations you can act on immediately.

Do you offer ongoing schema markup support?

Yes. Structured data needs to evolve as your site changes. Ongoing consulting is available to keep your markup up to date, validate new page types, and adapt your strategy as Google's structured data support evolves.