What structured data is
Structured data is code added to your website that tells search engines and AI tools exactly what your business is, what it offers, and how to categorise it. It uses a standardised vocabulary called Schema.org, and the most common format is JSON-LD โ a block of machine-readable data embedded in your page's HTML.
Think of it as a fact sheet that machines can read. While humans read your website's visible content, structured data provides the same information in a format that AI tools can process instantly and accurately.
Why it matters for AI visibility
Without structured data, AI tools have to infer facts about your business from unstructured text. They might read "We're a Sydney-based accounting firm specialising in small business tax" and figure out your location, industry, and specialisation โ but inference is less reliable than explicit declaration.
With structured data, you tell AI tools directly: "This is an AccountingFirm, located at 123 George St Sydney, offering small business tax, BAS preparation, and financial planning." The AI doesn't have to guess โ and it's more likely to cite you correctly.
Types of structured data that matter most
LocalBusiness / Organization
The foundation. Declares your business name, address, phone number, opening hours, service area, and other core facts. Every business website should have this on the homepage at minimum.
Service
Describes each service you offer with a name, description, and provider. Adding Service schema to your service pages helps AI tools understand and recommend specific services, not just your business generally.
FAQ
Marks up question-and-answer content in a format that search engines display as rich results and AI tools reference when answering related questions. FAQ schema is one of the highest-impact types for AI visibility.
Article / BlogPosting
Identifies your content as published articles with author, date, and topic information. Helps AI tools evaluate the authority and recency of your content.
Review / AggregateRating
Marks up customer reviews and rating summaries. AI tools reference these when assessing business quality and forming recommendations.
BreadcrumbList
Shows the navigation structure of your site, helping AI tools understand the relationship between your pages and the hierarchy of your content.
What structured data optimisation involves
Structured data optimisation is the process of implementing, validating, and maintaining Schema markup across your website. It covers:
- Audit โ Checking what structured data currently exists on your site (often none or very little)
- Planning โ Determining which schema types are relevant for your business and which pages need them
- Implementation โ Writing and adding JSON-LD blocks to each page
- Validation โ Testing the markup with Google's Rich Results Test and Schema.org validator to ensure it's error-free
- Monitoring โ Checking for errors in Google Search Console and updating the markup as your business or services change
Common mistakes
- Homepage only โ Adding structured data to the homepage but not service pages, blog posts, or contact pages
- Inconsistent data โ The structured data says one thing while the visible page content says something different
- Missing required fields โ Implementing a schema type but leaving out fields that search engines and AI tools expect
- Outdated information โ Structured data that hasn't been updated after a service change, address move, or phone number change
- No FAQ schema โ Missing the single highest-impact schema type for AI visibility
The impact
Businesses that implement comprehensive structured data typically see improvements in both traditional search (rich results, featured snippets) and AI visibility (more accurate, more frequent citations). It's one of the few optimisations that benefits both channels simultaneously.
Is your structured data working?
RabbiiCo Studio's free AI Visibility Assessment includes a structured data audit โ checking what you have, what's missing, and what to add for maximum impact.