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 is why schema is only part of what we score, and why every workspace also runs a live AI visibility check each week: we put real buyer questions to ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews and record whether your site is actually named, rather than assuming markup equals mentions.
Related
See which schema types you're missing.
Tracked pages are re-read every week and scored on the signals assistants use. Every gap comes with the exact JSON-LD to paste in.
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