Schema markup skills
employers want

Structured data is code — usually JSON-LD using the schema.org vocabulary⁴ — that describes what a page contains: products and offers, articles and authors, organisations, local businesses, events, recipes, videos, breadcrumbs and more. It helps search engines understand content and makes pages eligible for rich results such as product prices and ratings.

The effect can be measurable. Google's introduction to structured data cites case studies including Rotten Tomatoes, which measured a 25% higher click-through rate on pages enhanced with structured data, and Nestlé, which found pages shown as rich results had an 82% higher click-through rate.¹ Google recommends JSON-LD,¹ documents eligibility per type such as products,² and sets general guidelines — markup must represent visible content, and misleading markup can lead to manual actions.⁵ Eligibility also changes: since August 2023, FAQ rich results appear mainly for authoritative government and health sites, and HowTo results were removed.³

Higher CTR Rotten Tomatoes measured with structured data (Google case study)

25%

Higher CTR Nestlé measured for rich-result pages (Google case study)

82%

Google's recommended structured data format

JSON-LD

Typical SEO specialist pay in India (AmbitionBox, Oct 2026)

₹5.3–5.8 lakh

Table: How schema markup skills are assessed (editorial summary)

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Cotton Kurta – Indigo",
  "image": ["https://example.com/img/kurta-indigo.jpg"],
  "sku": "KRT-IND-01",
  "brand": { "@type": "Brand", "name": "ExampleWear" },
  "aggregateRating": { "@type": "AggregateRating", "ratingValue": "4.4", "reviewCount": "128" },
  "offers": {
    "@type": "Offer",
    "priceCurrency": "INR",
    "price": "899",
    "availability": "https://schema.org/InStock",
    "url": "https://example.com/kurta-indigo"
  }
}

Every value must match the page users see — the price, rating and stock status — and update when they change. Mismatches are the most common reason rich results disappear.

Table: How structured data has changed (editorial summary)

• JSON-LD for at least three templates (e.g. product, article, organisation)
• Validation screenshots with zero errors
• Search Console enhancement reports monitored over time
• A mismatch you found and fixed
• An entity map: organisation, authors, sameAs profiles
• A verified schema markup certification

Show validity and impact: "Implemented Product, BreadcrumbList and Organization markup across 40,000 pages; valid items in Search Console from 12% to 96%; product rich results restored after fixing price mismatches."

"Why JSON-LD?"

Google recommends it; it's separate from visible HTML, easier to generate from data and to maintain.

"Will schema improve our rankings?"

Not directly; it improves understanding and rich result eligibility, which can raise CTR.

"Rich results vanished. Why?"

Errors after a release, mismatched values, policy violations, eligibility changes or quality issues.

"Should we add FAQ schema everywhere?"

Not for rich results — Google limits them to authoritative government and health sites. Use it only where it describes real FAQ content.

"How do you keep markup accurate at scale?"

Generate it from the same data as the page, validate in CI, and monitor Search Console reports.

Table: Schema-related roles and typical pay in India (AmbitionBox, October 2026; indicative)⁶

Table: Common schema types by site type (editorial guidance)

• SEO analyst — validation and monitoring.
• Technical SEO specialist — implementation with developers.
• SEO or content engineer — markup generated from data.
• SEO manager — structured data strategy.
• Knowledge graph or entity specialist — large-scale entity data.

1. Week 1: Learn — Read Google's structured data docs and the current search gallery.
2. Week 2: Implement — Write JSON-LD for three templates; validate.
3. Week 3: Prove it — Monitor results and take the Structured Data and Schema Markup Certification.

Related: Technical SEO and E-commerce SEO. Guides: technical SEO, e-commerce SEO and answer engine optimization.

• Template reviews — before releases.
• Search Console checks — enhancement reports and errors.
• Data alignment — prices, stock and ratings.
• New types — when products or content change.
• Entity upkeep — authors and organisation details.
• Policy watch — eligibility changes.

Table: A first-90-days plan (editorial guidance)

Structured data problems usually hide in templates and data pipelines, not on individual pages. Start by listing every template, what markup it outputs and how it validates. Fix errors and mismatches first, because they can cost existing rich results. Then add the types that matter most for the business, generated from the same data the page uses so they stay accurate. Finally, add validation to the release process so markup doesn't break silently. Specialists who make structured data dependable become the go-to person for search features and entity data.

"How would you mark up an author?"

A Person entity with name, url and sameAs links to real profiles, referenced from the Article's author property, and consistent with the visible byline and author page.

"What's the difference between Rich Results Test and Schema Markup Validator?"

The Rich Results Test checks eligibility for Google's rich results; the Schema Markup Validator checks schema.org syntax generally. Use both.

"How do you handle markup on JavaScript-rendered pages?"

Make sure the JSON-LD is present in the rendered HTML Google sees, test with URL Inspection, and prefer server-side output for critical markup.

Table: Common structured data tools (editorial guidance)

Generating markup from the same data source as the page is the single best way to keep it accurate. Hand-written markup on thousands of pages drifts out of date quickly.

• Markup that doesn't match the page.
• Every type everywhere.
• Chasing deprecated rich results.
• Testing one page, not templates.
• No monitoring after launch.

Case studies and format recommendations come from Google's structured data introduction; product rules and general guidelines from Google Search Central; FAQ and HowTo changes from Google's August 2023 announcement; vocabulary from schema.org; and India pay from AmbitionBox (read October 2026). The JSON example, assessment formats and history are editorial. Science of Apps publishes the free certification linked here. Last reviewed October 2026.

• Structured data — machine-readable information describing page content.
• JSON-LD — the script-based format Google recommends for structured data.
• Rich result — an enhanced search result such as prices, ratings or events.
• Entity — a uniquely identifiable thing: a person, organisation, product or place.
• sameAs — a property linking an entity to its profiles elsewhere.