In short
Most schema markup is added as JSON-LD in the page source. It can identify the organisation, article, service, product, FAQ, event, breadcrumb path, or local business behind the visible content.
Good schema does not invent claims. It labels real facts so search engines, rich results, and AI answer systems have less room to guess.
Where it bites
Schema markup bites when teams add it as an SEO trick after thin content. Search systems can ignore unsupported markup, and mismatched structured data can create trust problems.
What to check
- Does the schema match facts that are visible on the page?
- Which entity, page type, relationship, or eligibility problem is the markup meant to solve?
- Has the markup been validated and monitored after deployment?
Common questions
What is schema markup?
Schema markup is structured data added to a page so search engines and answer systems can understand the page type, entities, facts, and relationships.
Does schema markup improve rankings?
Schema can support eligibility, clarity, rich results, and AI understanding, but it does not replace crawlability, useful content, technical health, or authority.
What should you check first for schema markup?
Check that the markup matches visible content, uses the right type, validates cleanly, and supports a real search or AI-answer use case.