SEO & Performance
Structured Data Implementation
Structured data (usually JSON-LD) tells search engines explicitly what a page represents — an article, a product, a service, an FAQ — which can unlock rich results in search listings and helps search engines understand content that would otherwise need to be inferred. The requirement that trips people up: the markup has to accurately reflect what's genuinely visible on the page, not what you'd like it to say.
I implement this as reusable, typed helper functions rather than duplicating JSON-LD scripts by hand across every page, and validate every schema against Google's testing tools before it ships.
Common Schema Types and When They Apply
- arrow_rightArticle / TechArticle — blog posts, guides, and technical content
- arrow_rightService — commercial service pages
- arrow_rightFAQPage — only when genuine, visible FAQ content exists on the page
- arrow_rightBreadcrumbList — any page with a visible breadcrumb trail
- arrow_rightHowTo — step-by-step tutorial content with a genuine sequence of steps
- arrow_rightPerson / Organization — identity and entity information
What to Avoid
- arrow_rightAdding FAQPage schema mechanically to every page whether or not it has real, visible FAQ content
- arrow_rightIncluding review, rating, or price data that isn't actually displayed on the page
- arrow_rightMarking up content that doesn't match what a visitor actually sees — this risks a manual action from Google, not just a missed opportunity
Frequently Asked Questions
Does structured data guarantee rich results?add
No — it makes a page eligible for rich results, but Google decides whether and how to display them based on its own criteria, which isn't guaranteed or fully documented.
Can I add review schema without real reviews?add
No — this violates Google's structured data guidelines and can trigger a manual penalty. Structured data must accurately reflect content genuinely present and visible on the page.
How do you validate structured data?add
Against Google's Rich Results Test and the Schema.org validator before deployment, and periodically afterward as content changes, since a later content edit can silently make previously accurate markup incorrect.