Schema markup implementation and structured data cleanup for service businesses.
Schema markup, structured data cleanup, and entity SEO foundations for service businesses, law firms, marketing agencies, and Shopify stores. Hand-written to current Schema.org documentation, validated before delivery, and documented so your team can maintain it.
Structured data gives search systems clearer clues.
Search engines and AI tools use structured data alongside the visible page content to identify what a business is, what it sells, where it operates, and how its pages relate. When that markup is missing, malformed, or contradicts the visible content, the cues become noisier and the system has less to work with.
Clean structured data helps reduce ambiguity around your business, services, locations, products, and page relationships. It supports stronger machine-readable context, but it does not guarantee rankings, rich results, AI Overviews, or citations. The work here is to make that layer correct, validated, and documented — so the rest of your SEO and content effort sits on a real foundation.
Concrete deliverables, scoped before you pay.
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Schema audit & cleanup
A page-by-page review of existing structured data. Errors, deprecated types, duplicate blocks, and conflicts with visible content are documented with prioritized fixes. -
Custom JSON-LD implementation
Markup written for your actual business: Organization, LocalBusiness, Service, Product, Article, FAQPage, BreadcrumbList, and other types as relevant — connected with proper @id references. -
Local & entity SEO foundations
Consistent NAP, service-area definitions, and sameAs profile alignment when verified profiles are available — kept careful and accurate, never padded with unrelated links. -
Validation & rich results testing
Every block is checked against Google's Rich Results Test and the Schema.org Validator. Errors are resolved before delivery, with screenshots in the report. -
Machine-readable clarity
Structured data that reduces ambiguity around your business, services, locations, and page relationships — so search engines and AI systems have cleaner signals to work with. -
Documentation & 14-day support
A handover package: validation report, plain-English implementation notes, maintenance checklist, and 14 days of follow-up to fix anything that surfaces after launch.
Built for businesses where search visibility drives revenue.
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Local service businesses
HVAC, plumbing, dental, home services — LocalBusiness, Service, and review markup aligned with visible page content. -
Attorneys & law firms
Implementation may use LegalService and Person markup where supported by visible page content. -
Marketing & SEO agencies
White-label or referenced implementation for client sites. Clean code, a real audit report, and predictable timelines. -
Shopify & ecommerce
Themes and apps may generate basic product schema; product, offer, brand, breadcrumb, and organization markup is reviewed for accuracy and conflicts. -
Owner-led businesses
Consultants, professional services, and operators who need their site to read as a real, searchable entity — not a brochure.
A short, predictable engagement.
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1. Discovery call & written scope
A short call to understand your site, business model, and goals. You receive a written scope listing every markup type, page, and deliverable before any work starts. Typical timeline: 1–2 days. -
2. Audit & markup build
I audit existing structured data, document gaps, then write JSON-LD for each in-scope page or template — referencing your real services, locations, and content. Typical timeline: 3–5 days. -
3. Validation & deployment
Markup is validated against Google's Rich Results Test and the Schema.org Validator, then deployed to your site or delivered as production-ready code for your developer. Typical timeline: 2–4 days. -
4. Handover & 14-day support
You receive the validation report, an implementation guide, and a maintenance checklist. I stay on call for 14 days to fix anything that surfaces post-launch.
Frequently asked questions
I already have schema on my site — is this still worth it?
Often, yes — but the audit is the right way to find out. Existing markup is sometimes complete and clean. More often it has missing required fields, deprecated types, duplicate blocks across plugins, or content that contradicts the visible page. The free audit tells you whether there's real work to do, before you commit to anything.
Will this make me rank higher?
Schema markup is not a direct ranking factor. What it does is make your content easier for search engines and AI systems to interpret — which can support rich-result eligibility, local pack relevance, and entity recognition. No ranking guarantees, here or anywhere else — the value is in clean, validated implementation your other SEO work can build on.
How long does a project take?
Typical engagements run 7–14 days from kickoff to delivery. Larger sites or multi-location businesses can run longer; the written scope after the audit will give you an exact timeline.
Will this break anything on my site?
JSON-LD sits in a script tag in the page head and does not affect layout, performance, or visible content. If you'd prefer, code can be delivered for your developer to deploy on a staging environment first — that's the standard path for production sites.
Do you work with agencies on white-label projects?
Yes. Agencies engage this service as a structured-data specialist for client sites where their team doesn't have deep schema expertise in-house. Deliverables can be branded for the agency, and NDAs are signed as needed.
What does it cost?
Pricing is project-based and quoted after the free audit, so you only pay for the actual scope of your site. The audit itself is free and carries no obligation — if your existing markup is already in good shape, I'll tell you that.
Why not just use ChatGPT or an AI tool to write my schema?
AI tools can produce schema that looks correct but references the wrong types, uses deprecated properties, or contradicts what's on the visible page. The problem isn't writing JSON — it's knowing which types apply to your business, which fields are required vs. recommended, and whether the output actually validates. That's the gap this service fills.
Can you fix schema that's broken or conflicting from a plugin?
Yes — that's one of the most common starting points. Plugins like Yoast, RankMath, and schema apps often produce overlapping or conflicting blocks. The audit documents every conflict, and cleanup is scoped from there.
How much does schema markup implementation cost?
Pricing is project-based and quoted after the free audit, so you pay for the actual scope of your site, not a package tier that may not fit. The audit is free with no obligation.
Get a written audit of your site's structured data.
Send a few details and I'll review your site, document what's working, what's broken, and what's missing — then send back a written summary with a scope and quote if you decide to proceed. No sales call required. No obligation.