Full Answer

AI search engines don't read your site the way a human does. They parse structured data to understand what a page is about, what it sells, and whether its claims are verifiable. When that structured data is missing, the page becomes harder to cite — and AI models default to competitors who made their content machine-readable.

The citation lift varies by schema type. Product plus Offer schema — the combination that tells AI engines what you sell, at what price, and whether it's in stock — adds a 29% citation boost on commercial queries. Article plus BreadcrumbList schema adds 47% on informational queries, because it signals editorial depth and site structure. FAQPage schema is particularly effective: pages that carry it are 4x more likely to appear in AI-generated answers.

For WooCommerce stores, the gap is especially acute. Default WooCommerce JSON-LD misses several attributes that AI shopping agents look for — availability conditions, return policies, and review aggregates. Filling those gaps with validated schema moves a product page from invisible to citable. A detailed breakdown of what WooCommerce misses and how to fix it is in Schema Markup for WooCommerce.

The implementation format matters too. JSON-LD accounts for 89.4% of structured data on the web, and it's what Google, ChatGPT, and Perplexity parse most reliably. Microdata and RDFa are technically valid but increasingly ignored by AI extraction pipelines.