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 will work directly with me, start to finish.
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.
How it works
A structured process from audit to implementation
Understand your website and goals
Start with 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.
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A detailed review of your current structured data implementation: errors, missing types, incorrect nesting, outdated markup, and gaps relative to what Google currently supports and rewards.
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.
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.
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.
Practical schema markup deliverables you can act on immediately
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.
Pricing
Schema Markup Audit
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
- JSON-LD templates for key page types
- Entity graph strategy (@id, sameAs, @graph)
- Rich result recommendations
Schema Markup Strategy
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
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 cover 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.