AI Schema Example: 74/100 with 11 Hallucination Risks Flagged
This example shows the AIWebPageSEO AI Schema Audit for a SaaS marketing site. AI Schema Score is 74 of 100. 92% of pages have JSON-LD but 38 critical fields are missing across page types, 11 entity references are ambiguous and create hallucination risk in AI engines, and 12 authors lack proper Person objects with knowsAbout signals.
| Page type | Required for AI | Coverage | Status |
|---|---|---|---|
| Articles | author (Person), datePublished, dateModified, mainEntityOfPage | 84% | ⚠ 22 pages missing dateModified |
| Products | name, sku, brand, offers, availability, aggregateRating | 91% | ✅ Strong |
| FAQs | Question + acceptedAnswer with single string answer (not nested) | 78% | ⚠ 14 FAQs over-nested |
| HowTo | name, step (HowToStep with text + image) | 62% | 🔴 Missing images |
| Organization | name, url, logo, sameAs (social profiles) | 100% | ✅ Complete |
| Person (authors) | name, jobTitle, sameAs, knowsAbout | 34% | 🔴 12 authors missing |
Article author uses string instead of Person object (12 pages)
Blog articles list "author": "Jane Smith" with no Person @id. ChatGPT and Claude cannot link the same Jane Smith across articles — risk of attribution errors. Convert to Person object with @id, name and sameAs links.
Product reviewedBy missing @id (8 PDPs)
Review objects on PDPs use string author "TrustedSource" — AI cannot verify the reviewer. Add Organization or Person @id to enable trust evaluation.
Stale dateModified on /docs/* (47 pages)
Doc pages show dateModified from 2024 even though content was rewritten in 2026. AI engines lower weight on stale-looking content. Wire dateModified to actual last-edit timestamp.
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