JSON-LD (structured data)
JSON-LD is a format for adding structured data to a web page: a small block of code, using the schema.org vocabulary, that tells search engines and AI systems exactly what the page is about, such as an organisation, article, product or FAQ.
Structured data does not change what visitors see. It labels facts in a machine-readable way, which can lead to rich results in Google and helps answer engines understand and cite a page.
Common schema types for marketing websites
Organization: name, logo, location, contact.
Service and Offer: what you sell and from what price.
Article or BlogPosting: blog posts and insights.
FAQPage: questions and answers.
DefinedTerm: glossary entries like this one.
Structured data must match the visible content. Marking up facts that are not on the page can be treated as spam. It is a core part of AEO.
FAQ
Is JSON-LD better than microdata?
Google recommends JSON-LD because it sits in one block and is easier to maintain than markup spread across the HTML.
How do I test structured data?
With Google’s Rich Results Test or the Schema.org validator.
Related terms
Answer Engine Optimization (AEO)
Answer Engine Optimization (AEO) is the practice of structuring a website's content so that AI assistants and answer engines, such as ChatGPT, Perplexity, Gemini and Google's AI Overviews, can find it, understand it and cite it in their answers.
Generative Engine Optimization (GEO)
Generative Engine Optimization (GEO) is the practice of making content more likely to be used and cited by generative AI systems, such as ChatGPT, Claude, Gemini or Perplexity, when they write an answer.
llms.txt
llms.txt is a proposed standard for a plain Markdown file at the root of a website (/llms.txt) that gives large language models a short, curated summary of the site and links to its most important pages.
Related at Trueform:
