Structured data
Machine-readable markup that describes a page's entities and content.
What is Structured data?
Structured data commonly uses Schema.org vocabulary in JSON-LD. It can clarify products, organizations, articles, authors, prices, FAQs, and relationships, but it does not guarantee inclusion in an AI answer.
In practiceWhat does this look like in a real AI answer?
A pricing page includes Product and Offer markup matching the visible plan information.
Why it matters for AI visibility
AI answers can shape awareness and buying decisions before a person visits a website. Understanding structured data helps teams connect what a model says with the prompts, sources, and technical signals that influenced the result. The useful next step is to observe the evidence, compare it over time, and act on the specific gap.
How to measure or use it
- Define the scope. Choose the relevant market, prompts, models, locations, and time window.
- Keep the evidence. Save the complete answer, its citations, and the page or claim being evaluated.
- Compare patterns. Look for repeated movement across prompts and models instead of reacting to one response.
- Take a specific action. Improve the owned page, correct a claim, earn third-party inclusion, or create better evidence.