Supported schema types.
Exactly what our audit detects, what it scores, and what the fix code can generate — so you know the coverage before you run it.
How schema support works
Schema support in our audit happens at three levels — it's important to distinguish them:
1. Detection — every schema.org type
The audit parses all JSON-LD on your pages: single objects, arrays, nested entities, and @graph knowledge-graph structures. Whatever types you use — mainstream or specialized — they're read and listed in your report.
2. Scoring — the five core families
Your Schema Markup score weights the five type families with the strongest AI-citation impact for most businesses (table below), plus datePublished/dateModified freshness. Scoring is deterministic — same input, same score, every time.
3. Fix code — any type your content calls for
Fix code is generated for your site's actual content — not from fixed templates — so it can produce any schema.org type, including specialized ones like Event, Course, Dataset, or HowTo when your pages warrant them.
Core types (scored)
| Type family | Why AI engines weight it | Score weight |
|---|---|---|
| Organization / LocalBusiness | Tells AI who you are — name, logo, contact, social profiles. The anchor for brand entity recognition and disambiguation. | 25 |
| Product | What you sell, price, availability. Required for AI shopping answers and product recommendations. | 20 |
| Article / BlogPosting / NewsArticle | Marks editorial content with authorship and dates — the freshness signals AI engines weight heavily. | 20 |
| FAQPage | Question-and-answer pairs in the exact shape AI assistants lift into responses. The highest citation-per-effort type. | 20 |
| BreadcrumbList | Page-trail context that helps AI understand your site structure and each page's place in it. | 15 |
Plus datePublished / dateModified anywhere in your JSON-LD — scored separately as content-freshness signals.
Extended types (detected & generatable)
These are detected on your pages and can be produced by the fix code when your content calls for them:
Using a type not listed here? It's still detected — detection covers the entire schema.org vocabulary, including nested @graph linked-entity structures.
An honest note on schema and citations
Structured data makes your site easy for AI systems to read and trust — it's necessary, but not sufficient. AI citations also depend on content quality, freshness, topical depth, and third-party authority. No markup guarantees a mention. That's exactly why our audit scores 18+ signals across three pillars, and why every paid report includes a live AI Visibility check — we ask ChatGPT, Perplexity, Gemini, and Claude real buyer questions and show whether your site is actually named, instead of assuming markup equals mentions.
Related
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