Using the AI Schema Creator
Schema markup is the #1 technical SEO factor for AI visibility, influencing 19.7% of ranking signals. AI Rankia's Schema Creator generates LLM-optimized structured data that you can copy-paste directly into your pages.
Why schema matters for AI search
AI models don't read your website like a human. They rely on structured data to understand what your page is about. Schema markup (Schema.org) tells AI engines:
- What type of content is on the page (product, article, FAQ, person)
- Key attributes (price, rating, author, date, features)
- Relationships between entities
Pages with proper schema are significantly more likely to be cited by AI models and appear in Google AI Overviews.
How to use the Schema Creator
- Go to GEO Tools → AI Schema Creator in the sidebar
- Enter the URL of the page you want to generate schema for
- Select the schema type: Product, Blog/Article, Author, FAQ, or LLM-optimized
- AI Rankia analyzes your page content and generates complete JSON-LD schema
- Copy the output and paste it into your page's HTML
<head>section
Schema types available
| Type | Best for | What it includes |
|---|---|---|
| Product Schema | E-commerce, SaaS product pages | Name, description, price, rating, availability, brand, features |
| Blog/Article Schema | Blog posts, content pages | Headline, author, datePublished, dateModified, description, images |
| Author Schema | Team pages, about pages | Person name, credentials, job title, social profiles (E-E-A-T) |
| FAQ Schema | FAQ pages | Question/Answer pairs for Google Rich Results |
| LLM-Optimized | Any page | Enhanced schema with extra signals for LLM comprehension |
Product Schema is critical for AI Shopping results in ChatGPT, Perplexity, and Google AI Mode. If you sell products or services, start here.
Author Schema establishes E-E-A-T (Experience, Expertise, Authoritativeness, Trust). AI models weigh author authority when deciding what to cite.
Real example: what you get
When you enter a URL, the Schema Creator returns ready-to-use JSON-LD like:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "SoftwareApplication",
"name": "AI Rankia",
"applicationCategory": "BusinessApplication",
"offers": {
"@type": "Offer",
"price": "29",
"priceCurrency": "USD"
},
"aggregateRating": { ... }
}
</script>
Copy this entire block into your page's <head> section.
After generating schema
- Copy the JSON-LD code from the output
- Paste it inside your page's
<head>HTML - Validate at Google's Rich Results Test
- Re-run your monitored prompts after 2-3 weeks to check if citation rates improve
Credit cost
30 credits per page. This generates production-ready markup you can implement immediately. Start with your most important pages — homepage, top product pages, and highest-traffic blog posts.
For context: 30 credits = monitoring 6 prompts across 5 models for one week. The schema you generate is permanent and improves visibility across every AI model.