Schema markup services: hand-written JSON-LD that matches your pages

Schema markup is a block of structured data, written in the Schema.org vocabulary, that states facts a crawler would otherwise have to guess: this page is a product, this is its price in euros, this clinic closes at 6 pm on Saturdays, this article was written by this person. Google recommends the JSON-LD format because it sits in its own script tag, apart from your HTML, and is easy to generate from a database or content file.

These schema markup services suit online stores that want product details in search results, local businesses that need one clean and consistent business record, blogs and publishers, SaaS sites with software and pricing pages, and agencies that want a developer to implement markup across client sites. They are not worth a project if you run a five-page brochure site with no products, events or articles. You need an Organization block and breadcrumbs, and I will tell you so on the first call.

Structured data makes a page eligible for certain search features. It never guarantees them, and Google has retired several over the last few years. HowTo rich results went in 2023. In 2025 Google dropped features such as Course info, Estimated salary, Learning video, Special announcement and Vehicle listing. FAQ rich results, already limited to well-known government and health sites since 2023, stopped appearing for every site on May 7, 2026.

Plenty is still live. Going by Google's search gallery as of October 2026, these are the features worth planning around. I start from this list and from what your pages actually show, not from the hundreds of types Schema.org defines.

• Product snippets and merchant listings: price, availability, shipping, returns and ratings from genuine customer reviews
• Local business details, plus Organization logo and contact information
• Article, Breadcrumb, Video, Image metadata and Profile page
• Event, Job posting, Recipe, Course list, Vacation rental and Software app
• Discussion forum and Q&A for community and support sites
• Review snippets, for reviews of products and other things, not a business praising itself

Schema markup is not a ranking factor on its own. Its value is clarity and eligibility: correct markup can win a richer listing for the features above, and it helps search engines tie your pages to the right entity, meaning your business, your products and your authors.

On AI search, be careful what you are sold. Google's guide to its generative AI features, published in May 2026, says structured data is not required for AI Overviews or AI Mode and that there is no special schema.org markup to add for them. Other AI systems do not publish how they use markup at all. My view: accurate markup is cheap hygiene once it is generated from your data, but "schema for AI search" sold as a shortcut to citations is marketing. If AI visibility is your real goal, my AI search optimization work covers what matters more, such as crawler access, content and brand signals.

Most schema problems I find are not missing markup. They are duplicate and contradictory markup. Yoast or Rank Math outputs one Organization, the theme outputs a second with an old logo, a reviews plugin adds an aggregateRating to every page, and the three graphs disagree about the business name. Search Console then reports errors on templates nobody remembers touching.

Good schema markup for WordPress means deciding which plugin owns the graph, switching off the overlaps, and extending it with filters or a small custom plugin instead of pasting static JSON into a page builder, where it goes stale the day prices change. It pairs naturally with WordPress SEO. On Laravel, plain PHP and Next.js sites I build the JSON-LD from the same model or content file that renders the page, so the price in the markup cannot drift from the price on screen. Google's guidelines say markup must describe content the visitor can see, and misleading markup can lead to a manual action.

This website is the working example. Every route outputs JSON-LD generated from its content files: Person and WebSite on the home page, Service, BreadcrumbList and FAQPage on each service page, BlogPosting and BreadcrumbList on articles. The FAQ markup no longer earns a rich result, but it describes real questions visible on the page, so it stays.

For a local business, local business schema backs up your Google Business Profile with a consistent name, address, phone number, opening hours, coordinates and the most specific subtype available (Dentist, Plumber or LegalService rather than plain LocalBusiness). It must match the profile and your footer character for character. One common surprise: Google recommends review and aggregateRating markup on local business pages only for sites that collect reviews about other businesses, so marking up your own testimonials will not give you stars. My local SEO services for small businesses cover the profile side, and the post on local business schema examples shows complete blocks.

For a store, product schema carries what shoppers compare: price and currency, availability, condition, GTIN or MPN, shipping cost and return policy. WooCommerce outputs part of this by default, but variable products, scheduled sale prices and out-of-stock variants are where the output usually breaks. I test those cases specifically, not one simple product, and check the merchant listings report in Search Console afterwards.

Schema is code generated from data, so it belongs with someone who can read your templates. With me you work directly with the engineer writing it: no account manager relaying questions and no hand-off to a junior. I am a senior software engineer in Ahmedabad, India, I work remotely with clients in different time zones, and we agree on update times at the start.

The cost of schema markup services depends on templates, not page count. A store with 3,000 products may have only three templates. The other drivers are your platform and how much plugin markup needs untangling, how many types you need, whether data such as GTINs, opening hours or author profiles already exists in your system, and whether you want ongoing monitoring after release. After a short call or a written brief I send a fixed quote. If schema is one issue among several, a technical SEO audit is the better starting point.