Glossary / Search and Visibility
Schema Markup
Structured data code that helps search engines and AI systems understand, extract, and cite your content accurately.
Definition
Schema markup is structured data code added to your website that helps search engines and AI systems understand your content. It uses a standardised vocabulary (schema.org) to label information like business details, product pricing, FAQs, reviews, and article metadata, making it easier for Google, ChatGPT, and Perplexity to extract and cite your information accurately.
Why schema markup matters
Without schema markup, search engines and AI tools have to guess what your content means. With it, you are explicitly telling them: this is a product, this is the price, this is a review, this is a FAQ. This clarity leads to richer search results (star ratings, FAQ dropdowns, price displays) and better chances of being cited by AI tools.
Common schema types for businesses
| Schema type | What it does | Search result benefit | AI citation benefit |
|---|---|---|---|
| LocalBusiness | Marks up your business name, address, phone, hours | Enhanced Google Business profile, map results | AI can accurately state your location and contact details |
| FAQPage | Marks up question and answer pairs | FAQ rich snippets in search results | AI extracts and cites your answers directly |
| Product | Marks up product name, price, availability, reviews | Price and rating shown in search results | AI can compare your products with competitors |
| Article | Marks up author, date, headline, description | Enhanced article display in search | AI attributes content to your brand |
| HowTo | Marks up step-by-step instructions | Step-by-step rich snippets | AI can reference your process guides |
| Service | Marks up service offerings with descriptions and pricing | Service details in search results | AI can recommend your specific services |
| DefinedTerm | Marks up glossary definitions | Definition featured snippets | AI uses your definitions as authoritative sources |
Schema markup vs regular HTML
| Factor | Regular HTML | With schema markup |
|---|---|---|
| What Google sees | Text on a page | Labelled, structured information |
| Search result display | Basic blue link | Rich snippets with stars, prices, FAQs |
| Click-through rate | Average | 20 to 30% higher with rich results |
| AI citation | May be misinterpreted or ignored | Extracted accurately with attribution |
| Competitive advantage | None | Only 30% of websites use schema properly |
What does schema markup cost?
| Approach | Cost | What you get | Best for |
|---|---|---|---|
| DIY with plugins | £0 to £50 | Basic schema via WordPress plugins (Yoast, RankMath) | Simple sites with standard content |
| Manual implementation | £300 to £800 | Custom JSON-LD schema added to key pages | Businesses wanting specific schema types |
| Full schema strategy | £800 to £2,000 | Audit, strategy, implementation across all pages, testing | Businesses serious about search visibility and AI citation |
| Ongoing management | £100 to £300/month | Schema updates as content changes, new page markup, monitoring | Sites with frequently changing content |
Schema markup for AI citation
In 2026, schema markup is no longer just about Google. AI tools like ChatGPT, Perplexity, and Google's AI Overviews use structured data to understand and cite web content. If your competitors have schema markup and you do not, AI systems are more likely to cite them instead of you.
Key schema types for AI visibility:
- FAQPage: AI tools extract FAQ answers directly and attribute them to your site
- DefinedTerm: Your glossary definitions become the source AI references
- Article with author markup: AI attributes expertise to named individuals at your company
- Service with pricing: AI can recommend your services with accurate cost information
When NOT to invest heavily in schema
- When your content is thin: Schema highlights your content to search engines. If the content itself is poor, schema will not save it
- When your site has technical problems: Fix site speed, mobile issues, and crawl errors before adding schema. The foundation matters more
- When you have no conversion path: Rich snippets drive clicks. If those clicks land on a page with no clear next step, the traffic is wasted
Ready to make your content visible to AI?
Book a free 30-minute discovery call. We will audit your current schema markup, identify gaps, and show you how structured data can improve your visibility in both Google and AI search tools.
Definition
Schema markup is structured data code added to your website that helps search engines and AI systems understand your content. It uses a standardised vocabulary (schema.org) to label information like business details, product pricing, FAQs, reviews, and article metadata, making it easier for Google, ChatGPT, and Perplexity to extract and cite your information accurately.
Why schema markup matters
Without schema markup, search engines and AI tools have to guess what your content means. With it, you are explicitly telling them: this is a product, this is the price, this is a review, this is a FAQ. This clarity leads to richer search results (star ratings, FAQ dropdowns, price displays) and better chances of being cited by AI tools.
Common schema types for businesses
| Schema type | What it does | Search result benefit | AI citation benefit |
|---|---|---|---|
| LocalBusiness | Marks up your business name, address, phone, hours | Enhanced Google Business profile, map results | AI can accurately state your location and contact details |
| FAQPage | Marks up question and answer pairs | FAQ rich snippets in search results | AI extracts and cites your answers directly |
| Product | Marks up product name, price, availability, reviews | Price and rating shown in search results | AI can compare your products with competitors |
| Article | Marks up author, date, headline, description | Enhanced article display in search | AI attributes content to your brand |
| HowTo | Marks up step-by-step instructions | Step-by-step rich snippets | AI can reference your process guides |
| Service | Marks up service offerings with descriptions and pricing | Service details in search results | AI can recommend your specific services |
| DefinedTerm | Marks up glossary definitions | Definition featured snippets | AI uses your definitions as authoritative sources |
Schema markup vs regular HTML
| Factor | Regular HTML | With schema markup |
|---|---|---|
| What Google sees | Text on a page | Labelled, structured information |
| Search result display | Basic blue link | Rich snippets with stars, prices, FAQs |
| Click-through rate | Average | 20 to 30% higher with rich results |
| AI citation | May be misinterpreted or ignored | Extracted accurately with attribution |
| Competitive advantage | None | Only 30% of websites use schema properly |
What does schema markup cost?
| Approach | Cost | What you get | Best for |
|---|---|---|---|
| DIY with plugins | £0 to £50 | Basic schema via WordPress plugins (Yoast, RankMath) | Simple sites with standard content |
| Manual implementation | £300 to £800 | Custom JSON-LD schema added to key pages | Businesses wanting specific schema types |
| Full schema strategy | £800 to £2,000 | Audit, strategy, implementation across all pages, testing | Businesses serious about search visibility and AI citation |
| Ongoing management | £100 to £300/month | Schema updates as content changes, new page markup, monitoring | Sites with frequently changing content |
Schema markup for AI citation
In 2026, schema markup is no longer just about Google. AI tools like ChatGPT, Perplexity, and Google's AI Overviews use structured data to understand and cite web content. If your competitors have schema markup and you do not, AI systems are more likely to cite them instead of you.
Key schema types for AI visibility:
- FAQPage: AI tools extract FAQ answers directly and attribute them to your site
- DefinedTerm: Your glossary definitions become the source AI references
- Article with author markup: AI attributes expertise to named individuals at your company
- Service with pricing: AI can recommend your services with accurate cost information
When NOT to invest heavily in schema
- When your content is thin: Schema highlights your content to search engines. If the content itself is poor, schema will not save it
- When your site has technical problems: Fix site speed, mobile issues, and crawl errors before adding schema. The foundation matters more
- When you have no conversion path: Rich snippets drive clicks. If those clicks land on a page with no clear next step, the traffic is wasted
Ready to make your content visible to AI?
Book a free 30-minute discovery call. We will audit your current schema markup, identify gaps, and show you how structured data can improve your visibility in both Google and AI search tools.
Frequently Asked Questions
Common questions about schema markup and structured data.
Does schema markup directly improve Google rankings?
Schema markup is not a direct ranking factor, but it improves how your pages appear in search results. Rich snippets (star ratings, FAQ dropdowns, prices) increase click-through rates by 20 to 30%, which sends positive signals to Google. More importantly, schema makes your content extractable by AI systems, which is becoming a significant source of referral traffic.
Can I add schema markup to my WordPress site myself?
Yes, plugins like Yoast SEO and RankMath add basic schema markup automatically. For more advanced schema types (Service, DefinedTerm, HowTo), you may need to add custom JSON-LD code or use a specialist plugin. If your site is not on WordPress, you will need a developer to implement schema in your templates.
How do I test if my schema markup is working?
Use Google's Rich Results Test (search.google.com/test/rich-results) to check individual pages. For site-wide monitoring, check the Enhancements section in Google Search Console. Both tools show which schema types are detected, whether they are valid, and any errors that need fixing.