Title - Best Schema for AI Search Citations (2026 Stack)
URL - https://ainora.lt/blog/best-schema-for-ai-search-citations
Last Updated: 2026-05-02
Author: Justas Butkus

# Best Schema for AI Search Citations

The best schema stack for AI search citations is seven Schema.org types shipped as JSON-LD: FAQPage and HowTo for question-answer and procedural content, Article and Person for E-E-A-T signals on bylined content, Organization and LocalBusiness for entity disambiguation, and BreadcrumbList for content hierarchy. FAQPage is the single highest-leverage type because AI engines lift FAQ answers verbatim into responses.

## Core seven schema types

| Type | Use case | AI citation impact |
|---|---|---|
| FAQPage | Question-and-answer blocks | Very high (lifted verbatim) |
| HowTo | Procedural content with steps | High (assembled into step lists) |
| Article / BlogPosting | Bylined content | High (freshness + authorship) |
| Person | Author entity | High (E-E-A-T signal) |
| Organization | Brand as entity | Very high (entity disambiguation) |
| LocalBusiness | Local entity | Very high for local queries |
| BreadcrumbList | Content hierarchy | Medium (classification) |

## FAQPage code template

```json
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [{
    "@type": "Question",
    "name": "How much does X cost?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "X costs Y. Pricing scales with Z. Custom quotes available."
    }
  }]
}
```

## Six schema mistakes that lose citations

1. FAQPage with fewer than 5 entries
2. HowTo on non-procedural content
3. Person schema with no sameAs
4. Organization mismatched vs Wikidata or GBP
5. Multiple competing JSON-LD blocks per page
6. Schema validated only in development (not production)

## Validation tools

- Schema.org validator at validator.schema.org
- Google Rich Results Test at search.google.com/test/rich-results

## Free audit

https://ainora.lt/ai-visibility-audit