What do the different JSON-LD schema types for GEO correspond to?
The JSON-LD GEO schemas provide AI with essential product identification data, as well as contextual and credibility data for your store. Thanks to this, you maximize your chances of being cited in responses generated by conversational assistants such as chatGPT, Perplexity or Gemini. In practice, an AI can for example recommend your products in a comparison, relying on the credibility of your brand, the category, the reviews and technical specifications.
What data is provided by the different schemas?
- Product Schema : provides AI with all essential product data (unique identifiers (GTIN, MPN, SKU,...), category, price, manufacturer/brand link, expert tests and reviews, usage context, target audience, published technical specifications, etc.).
- Organization Schema : allows AI to validate the credibility of your company (legal name and coordinates, seniority, expertise domains, affiliations, trust signals, social media profiles, etc.).
- Website Schema : helps AI understand the thematic context of your site (main themes, keywords, internal search actions, important links, store languages, etc.).
What are these metadata for?
Product Schema
The Product Schema allows AI to compare your products with the competition and generate precise recommendations. Your products can be cited in responses generated by AI (e.g. "What are the best smartphones?") thanks to these structured data.
Example :
When an AI sees this JSON-LD, it can respond to "Compare the iPhone 15 Pro with competitors" :
{
"@type": "Product",
"name": "iPhone 15 Pro 256GB",
"gtin": "194253433408",
"manufacturer": {
"name": "Apple Inc.",
"sameAs": "https://www.wikidata.org/wiki/Q312"
},
"isBasedOn": "https://www.apple.com/iphone-15-pro/specs/",
"citation": {
"@type": "Review",
"author": "The Digital",
"reviewRating": {"ratingValue": "4.5"}
}
}
Organization Schema
The Organization Schema allows AI to validate your company as a reliable source and generate content that reflects your expertise and reputation (e.g. "Company member of FEVAD since 2010").
Example :
AI uses this data to evaluate if they can cite your company as a reliable source :
{
"@type": "Organization",
"name": "TechExpert Solutions",
"legalName": "TechExpert Solutions SAS",
"foundingDate": "2015-03-15",
"knowsAbout": ["Artificial Intelligence", "Cybersecurity"],
"sameAs": [
"https://fr.wikipedia.org/wiki/TechExpert_Solutions",
"https://www.linkedin.com/company/techexpert"
],
"memberOf": {
"@type": "Organization",
"name": "Syntec Digital"
}
}
Website Schema
The Website Schema provides AI with a contextual understanding of your site, allowing them to generate content relevant to users. AI understands your site's positioning and offers, improving the relevance of the generated responses.
Example :
AI understands the expertise context of your site :
{
"@type": "WebSite",
"name": "AI Business Guide",
"about": [
"Artificial Intelligence in business",
"Digital transformation",
"Process automation"
],
"publisher": {
"@id": "#organization"
},
"potentialAction": {
"@type": "SearchAction",
"target": "https://mysite.com/search?q={search_term_string}"
}
}
Advice : In the module, you can activate or deactivate the three schema types individually. However, for maximum visibility on AI, it is recommended to activate all three schemas.
What is the difference between structured SEO and GEO data?
The GEO-dedicated schemas are designed to enrich the data that AI can use, improving the quality and relevance of the content generated around your company and your products. Unlike traditional SEO which focuses on display, GEO emphasizes verification and contextualization of information.
Where are the JSON-LD GEO schemas inserted?
Once activated in the module, the JSON-LD GEO feature automatically adds, if selected :
- the Product schema on all product pages
- the Organization schema on all site pages
- the Website schema on the homepage