Service · project

Schema & Structured Data

Structured data that lives in your templates and is generated from the same data the page renders from, so it stays true as the site changes.

Discuss an implementation See schema reporting
Nested structured data braces with a validation mark Two large curly braces enclose nested key and value lines representing JSON-LD, with a green check confirming the markup validates.

The problem this solves

Most structured data on B2B sites falls into one of three states. It was pasted into a tag manager, so it injects after the crawler has already taken its snapshot. It was hardcoded into a template two years ago and now describes prices, authors or products that have changed. Or it validates in a testing tool while describing an entity that contradicts everything else on the page.

Search engines use structured data to resolve what an entity is and how it relates to others. Getting it wrong is not neutral — inconsistent markup is a reason to trust the page less, not more.

We write the markup as a template change, in your stack, in a pull request your engineers review. If your team would rather implement it, you get the spec and we review the result instead.

What's included

Modelled first, implemented second, validated third, monitored after.

  • Entity model — how your organisation, product, people and content relate, written down before any markup is added.
  • Template-level JSON-LD — generated from the same data the page renders, so it cannot drift out of date.
  • Connected @id graph — entities reference each other instead of being repeated inconsistently on every page.
  • Duplicate and conflict removal — existing tag-manager markup, plugin output and template markup reconciled into one source of truth.
  • Type coverage — Organization, SoftwareApplication, Product and Offer, Article, BreadcrumbList, FAQPage and Person, where the content genuinely supports them.
  • Render-time verification — markup confirmed present in the raw HTML, not only after JavaScript execution.
  • Specification validation — checked against schema.org and the Rich Results requirements, including the properties that are required but rarely flagged.
  • Search Console enhancement baseline — before-and-after coverage across every enhancement report.
  • Engineering documentation — a template reference so the next developer knows where the markup comes from and how to extend it.
  • Regression guidance — what to assert in your test suite so a future deploy cannot silently drop the markup.

Timeline

Roughly four weeks, depending on how quickly template changes can ship.

Audit existing

Week 1. What markup exists, where it comes from, and which of it is actively wrong.

Model entities

Week 1–2. The entity graph agreed with you, including what deliberately stays unmarked.

Implement

Week 2–3. Template changes written and reviewed, shipped behind your normal release process.

Validate & watch

Week 4. Post-deploy validation, enhancement-report monitoring, and handover documentation.

From $3,200 Project · scoped on template count

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Find out what your markup actually says

Send a URL and we will tell you what structured data is on it, what validates, and what is describing something that is no longer true.

Book a schema review

15 minutes, no pitch deck.