Schema for LLMs, Not Just Google
Schema.org was built for search engines, but LLMs read it too — and the patterns that win rich results aren't the same as those that win citations.
Schema is not just a Google game anymore. Every major LLM — ChatGPT, Gemini, Claude, and Perplexity — ingests Schema.org structured data as a high-confidence signal during retrieval and entity resolution. But the schema patterns that win rich SERP results are not the same as the patterns that win AI citations.
Why LLMs love JSON-LD
JSON-LD is machine-readable, unambiguous, and self-describing. Where prose has to be parsed, schema is already a graph. When a model is grounding an answer, a page with rich Organization, Product, and FAQPage schema gives it confidence to lift specific facts ('founded in 2019', 'serves North America', 'pricing starts at $249/mo') instead of paraphrasing or hedging.
Prioritize the entity-graph schemas
Lead with Organization, Person, Product, Service, FAQPage, HowTo, and Article. These feed the knowledge graph. Thin Review markup and BreadcrumbList alone do almost nothing for AI visibility. The goal is to make every important entity on your site (your company, your products, your services, your authors) a structured, linkable node.
Use sameAs to wire your brand into the wider graph
sameAs is the single most under-used property in AVO. On your Organization schema, sameAs should be an array of canonical URLs to your Wikipedia article, Wikidata item, Crunchbase profile, LinkedIn company page, X/Twitter, GitHub, YouTube, and core social profiles. Each link tells every model 'these surfaces describe the same entity' and stitches your brand into the knowledge graphs they trust.
Write descriptions for retrieval, not for marketing
LLMs lift sentences verbatim from schema fields. The description field on Organization, Product, and Service should be a self-contained, citation-worthy claim a buyer would actually want to read — not adjective-stuffed marketing copy. 'Atomik Digital is an AI Visibility Optimization agency that engineers brands to be cited by ChatGPT, Gemini, Claude, and Perplexity' beats 'We are a forward-thinking digital partner committed to your success' every time.
FAQPage: the highest-ROI schema for AVO
FAQPage schema is the single most effective pattern for getting cited on question-style prompts. Identify the 20–50 questions buyers ask AI in your category, write concise factual answers (40–80 words each), and ship them in FAQPage schema on the most relevant pages. Models routinely cite FAQPage answers verbatim because they are structured, scoped, and labeled with intent.
HowTo and Article for editorial content
Long-form blog posts should ship Article schema with author (linked to a Person with sameAs), datePublished, dateModified, headline, and image. Tutorials should ship HowTo with explicit steps. Every step gives the model a clean handle to lift into an answer.
Validation and maintenance
Validate every page with Schema.org's validator and Google's Rich Results Test. Re-audit quarterly — Schema.org evolves and models add support for new types. The brands winning AVO treat structured data as production infrastructure, not a one-time SEO checkbox.
Want to see where your brand ranks?
Run a free AI Visibility Audit across the major models.
Run Free AI Audit
