Last updated: July 2026
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Schema Markup for AI Search
Schema markup for AI search is structured data (JSON-LD) that labels entities, FAQs, products, and articles so answer engines extract accurate facts — SearchDock validates schema on crawl and provides a free generator.
Why both dashboards matter
The 12% problem
Only about 12% of the URLs ChatGPT cites rank in Google's top 10. Ranking and being cited are two different games. Most teams pay for two tools to play both. SearchDock is one.
SearchDock tracks Google rankings from Search Console and AI citations from multi-pass prompt sampling in one nav — Websites, Pages, Keywords, Competitors, GSC, and Crawl alongside your AEO Score.
Source: independent analyses of ChatGPT citation overlap with Google top-10 results (2025–2026). SearchDock measures both channels so you see the full picture.
Why does schema matter for AI?
Structured data gives models unambiguous facts — price, author, dateModified, FAQ pairs — reducing hallucination risk and increasing citation likelihood for commercial queries.
SearchDock technical SEO flags missing or invalid schema on high-traffic templates.
Which schema types help AEO most?
FAQPage, Article, Product, Organization, and HowTo schema correlate with higher extractability scores in SearchDock AEO content audits.
Pair FAQ schema with visible accordion HTML so crawlers and humans see the same answers.
How do you implement schema?
Add JSON-LD in the page head or body. Use SearchDock's free schema markup generator for FAQ, Article, and Product templates — then validate in technical SEO crawl.
Keep dateModified current when you refresh content — freshness drives citations.