Schema Markup: What Singapore Businesses Still Need

A Singapore accounting firm redesigned its website in early 2026 and watched its star ratings disappear from Google’s search results within a week. Nothing about the service had changed, and the reviews were still genuine and glowing. What had vanished was a few lines of code in the page’s head, the schema markup that told Google how to display those ratings as rich results.

Schema markup rarely gets much attention outside technical SEO circles, yet it quietly decides whether a listing shows a star rating, a price or a FAQ dropdown in Google’s results, and increasingly whether an AI answer engine can understand what a page is even about. Google’s decision to retire several lesser-used structured data types from January 2026 left plenty of marketers wondering whether schema was being phased out altogether. It is not. Here is what actually changed, which schema types remain useful for a Singapore business, and the mistakes that make structured data pointless in the first place.

What Changed: Google’s Quiet Trim of Structured Data Support

In a Search Central update, Google confirmed it would remove support for a handful of structured data types in Search Console and its reporting API, including markup that Google’s own John Mueller described as features that “aren’t being used very often.” Search Engine Journal’s coverage of the announcement noted that the change affects a narrow list of lesser-used types rather than the core set most businesses rely on, and that Google called it a simplification of the search results page, not a retreat from structured data as a concept.

Why Structured Data Still Earns Its Keep in Singapore SEO

Search results have grown more visual and more automated at the same time, and schema markup sits behind both trends. A well-marked-up product page can still earn a star rating, a price range or an availability badge directly in Google’s results, and a listing with that extra detail tends to outperform a plain blue link for click-through rate. None of that changes because Google trimmed a few obscure data types from its reporting tools.

The newer reason to pay attention is AI search. Google AI Overviews, ChatGPT and Perplexity all lean on a page’s structure, not just its prose, to work out what a business does, where it operates and what it sells. Clean, accurate schema markup gives these systems an unambiguous answer instead of forcing them to guess from unstructured text, which counts for more as Singapore shoppers increasingly start a search inside an AI assistant instead of a results page. The same AI systems that read your schema also send crawlers through your site, so it helps to manage those crawlers properly.

The Schema Types to Prioritise

Not every schema type deserves a developer’s afternoon. For most Singapore websites, a handful of types account for nearly all of the practical benefit:

• LocalBusiness, which ties a company’s name, address, phone number and opening hours together so Google and AI assistants can answer where and when questions correctly.
• Product, which carries price, availability and variant data for e-commerce catalogues and underpins the price and stock badges shoppers compare before clicking through.
• FAQPage, which can surface expandable questions and answers directly in the results for genuinely informational content.
• Article, which helps a blog post or guide display properly in Google Discover and news-style result formats.
• BreadcrumbList, which shows a page’s place within a site’s structure instead of a raw URL.
• Review and AggregateRating, which carry the star ratings that influenced the accounting firm’s listing in the first place, provided the reviews are genuine and properly sourced.

Implementing Structured Data Without Breaking Your Site

JSON-LD is the format Google recommends and the one most SEO plugins now generate by default, since it sits in a single script block instead of being scattered through the visible HTML, which makes it far less likely that a template redesign accidentally strips it out. Most WordPress sites running AIOSEO, Yoast or RankMath already generate baseline schema automatically, so the practical work is usually filling in missing fields such as opening hours or product identifiers, not writing markup from scratch.

Before anything goes live, it helps to check the markup against Google’s own structured data guidelines and run the page through the Rich Results Test, since a single missing required field can disqualify an entire page from eligibility. Search Console’s Enhancements reports deserve a monthly glance afterwards too, because a theme update or plugin conflict can quietly break schema months after launch without anyone noticing a drop in rich results.

Structured Data Mistakes That Waste the Effort

A few recurring errors explain why some Singapore sites invest in schema and see little for it.

• Marking up content, such as a price or a rating, that is not actually visible anywhere on the page itself.
• Letting a plugin generate duplicate schema that a theme template already outputs, which can confuse validators and trigger warnings.
• Applying FAQPage markup to content that is not genuinely a list of questions and answers, which Google’s guidelines explicitly discourage.
• Publishing the markup once and never checking Search Console again, so errors introduced months later go unnoticed indefinitely.

Measuring Whether Your Markup Is Actually Working

Search Console’s performance reports let a business filter specifically for pages with rich results and compare their click-through rate against similar pages without any enhancement, which is usually the clearest signal of whether the investment paid off. A jump in impressions with no corresponding click increase often points to a markup or snippet problem, not a ranking problem.

On the AI side, the equivalent check is noticing whether a brand’s name, address or product details show up accurately when someone asks ChatGPT or Gemini a relevant question. That kind of monitoring is still informal for most businesses, done by simply asking the tools directly on a regular basis, but it is becoming as useful a habit as checking keyword rankings used to be.

How IT.com.sg Can Help

Getting structured data right is one of those behind-the-scenes technical details that nobody notices until it goes wrong, and by then a few months of rich results may already have been lost. Our technical SEO team checks this as a standard part of every audit, alongside the crawlability and performance issues that tend to travel alongside it. If you are not sure whether your site’s markup is still doing its job, feel free to get in touch and we will take a look.