Search engines are good at reading text, but they still have to guess at meaning. Is "49.99" a price or a model number? Is "Lisbon" an address, an event location or the topic of an article? Schema markup removes the guesswork by labelling the facts on a page in a standard vocabulary from schema.org, which Google, Bing and others all support.
What schema markup looks like
The recommended format is JSON-LD: a script block in the page that doesn't change how the page looks.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Example Co",
"url": "https://example.com/",
"logo": "https://example.com/logo.png"
}
</script>@type says what the thing is. The other properties describe it.
Why schema markup matters for SEO
- Rich results: star ratings, prices, event dates, video thumbnails and breadcrumbs in Google's listings. See rich snippets.
- Clearer understanding: Google connects your pages to known entities such as your business, products and authors.
- Knowledge panels and site names: Organization and WebSite markup help Google show your logo and correct site name.
- AI search: AI systems that read structured data get the facts straight from the source.
Schema isn't a direct ranking factor. Its value is in how your results look and how well your content is understood.