schema markup guide 2026 Guide 2026
Schema markup, explained without the jargon
Schema markup is structured data added to a page's code that tells search engines specifically what a piece of content is - a review, a price, a step in a recipe - rather than leaving them to guess from surrounding text.
This piece explains what the common types actually represent and where implementations most often break.
Why "it looks right" doesn't mean "it validates"
Schema can look correctly formatted while still referencing a property incorrectly, missing a required field, or describing content that isn't actually visible on the page - all of which cause Google to ignore or reject it silently.
Understanding the common failure patterns helps explain why a page with schema still doesn't show rich results in search.
What's included
- What FAQPage, Product, Article, and Service schema each actually represent
- The difference between schema that's present and schema that actually validates
- Common mistakes - required fields missing, content mismatches, nested type errors
- Why rich results aren't guaranteed even with technically valid schema
Our process
1. Identify what type actually fits
The content itself - not the desired rich result - determines the correct schema type.
2. Check every required property
Missing or malformed required fields are the most common reason schema silently fails.
3. Test with a real validator
Google's own Rich Results Test catches issues that visual inspection of the code misses.
Pricing
This piece is educational - if you want your specific pages audited and fixed, that's a separate, scoped conversation. Range: Rs 15,000 - 500,000 - indicative, final quote after discovery. Request a quote or WhatsApp +92 324 2991303.
Industries we serve
Site owners, marketers, and developers wanting to understand what schema markup actually does before implementing it.