Technical SEO
What Is Schema.org? A Foundational Guide for LLM and Semantic Optimisation
If you want your brand’s content to be understood not just by users, but by search engines and large language models, then Schema.org should be in your toolkit. At LMO7, we specialise in helping challenger brands win visibility in AI-first interfaces. This post explains what Schema.org is, why it matters, and how to get started.
28 June 2025
10 min read
What is Schema.org?
“Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet, on web pages, in email messages, and beyond.” — Schema.org
Backed by major search engines like Google, Bing, Yahoo, and Yandex, Schema.org provides a shared vocabulary for marking up structured data on web pages. This helps search engines and AI agents better understand the meaning behind your content.
Why Schema Markup Matters for LLM Visibility
Search engines and AI models increasingly rely on structured data to build answers. Schema markup enables your brand’s data to be featured in:
- AI overviews
- Knowledge panels
- Rich results
- Zero-click answers
By adding Schema.org markup to your product, article, and FAQ pages, you're directly signalling relevance to LLMs and semantic crawlers.
Common Schema Types for eCommerce Brands
Here are some of the most valuable schemas for Amazon-native and DTC brands:
Product: Define name, brand, price, SKU, image, reviews, etc.
Offer: Specify price, availability, and seller.
Review: Make customer feedback machine-readable.
FAQPage: Structure question/answer content for voice and chat interfaces.
BreadcrumbList: Improve navigation understanding.
How LMO7 Uses Schema.org
At LMO7, we embed Schema markup in DTC sites and landing pages to increase visibility in AI search, the same way a good SEO agency would. Our tools map keywords to schema properties and track indexation across engines and LLMs.
Next Steps for Brands
- Audit your current content for structured data gaps.
- Add relevant Schema.org types to key pages.
- Monitor impact on visibility using LLM index tools.
“Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet, on web pages, in email messages, and beyond.” — Schema.org
Backed by major search engines like Google, Bing, Yahoo, and Yandex, Schema.org provides a shared vocabulary for marking up structured data on web pages. This helps search engines and AI agents better understand the meaning behind your content.
Why Schema Markup Matters for LLM Visibility
Search engines and AI models increasingly rely on structured data to build answers. Schema markup enables your brand’s data to be featured in:
- AI overviews
- Knowledge panels
- Rich results
- Zero-click answers
By adding Schema.org markup to your product, article, and FAQ pages, you're directly signalling relevance to LLMs and semantic crawlers.
Common Schema Types for eCommerce Brands
Here are some of the most valuable schemas for Amazon-native and DTC brands:
Product: Define name, brand, price, SKU, image, reviews, etc.
Offer: Specify price, availability, and seller.
Review: Make customer feedback machine-readable.
FAQPage: Structure question/answer content for voice and chat interfaces.
BreadcrumbList: Improve navigation understanding.
How LMO7 Uses Schema.org
At LMO7, we embed Schema markup in DTC sites and landing pages to increase visibility in AI search, the same way a good SEO agency would. Our tools map keywords to schema properties and track indexation across engines and LLMs.
Next Steps for Brands
- Audit your current content for structured data gaps.
- Add relevant Schema.org types to key pages.
- Monitor impact on visibility using LLM index tools.