Using the AI Schema Creator
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
1. Go to GEO Tools → AI Schema Creator in the sidebar
2. Enter the URL of the page you want to generate schema for
3. Select the schema type: Product, Blog/Article, Author, FAQ, or LLM-optimized
4. AI Rankia analyzes your page content and generates complete JSON-LD schema
5. 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
1. Copy the JSON-LD code from the output
2. Paste it inside your page's <head> HTML
3. Validate at Google's Rich Results Test
4. 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.