Open the page source of almost any Nepali business website and search for application/ld+json. On most sites, you'll find nothing. Not because schema markup is hard to add. Because almost nobody here has ever been asked to add it.
Schema markup, in one sentence: it's a block of structured data — usually JSON-LD, a script tag most visitors never see — that tells search engines and AI systems exactly what a piece of content is, instead of making them infer it from prose. A page can say "Anurag Jha, Head of Marketing at Daewoo Nepal" in a sentence, or it can say it in schema as an unambiguous fact: a Person entity, with a jobTitle, an employer, and a stable ID. One is a sentence a machine has to parse and guess at. The other is a fact it can just read.
Why AI answer engines care about this more than Google ever did
Traditional SEO treated schema as a nice-to-have — it earns you a star rating or a recipe card in the search results, but a page without it still ranks fine on the strength of its content and links. Generative Engine Optimization doesn't have that luxury. When an AI system decides whether to state a fact confidently and cite a source, it's weighing how verifiable that fact looks. A claim backed by structured, machine-readable schema reads as more trustworthy than the same claim sitting in a paragraph — because the schema is the site itself asserting the fact in a format built for exactly that purpose, not prose an algorithm has to interpret.
The schema types a business site actually needs
Not every type matters equally. For a business or personal-brand site, five carry most of the weight:
Who is actually behind this site. Name, role, employer, social profiles — the entity everything else on the site gets attributed to.
What the site itself is, as an entity distinct from any single page on it — the anchor everything else references.
Direct question-and-answer pairs, structured so an AI system can lift one answer out cleanly instead of extracting it from a wall of text.
Headline, author, publish date, and description for every piece of writing — the difference between "some text on a page" and a dated, attributed piece of content.
A minimal Person entity looks like this — short enough that there's no real excuse for a site to skip it:
{
"@type": "Person",
"name": "Your Name",
"jobTitle": "Your Role",
"worksFor": { "@type": "Organization", "name": "Your Company" },
"url": "https://yoursite.com"
}
A live example, since most guides just tell you to add it
This site is the checkable version of the argument. Every page carries a Person entity for the same stable ID, referencing an Organization for Daewoo Nepal, alongside a distinct FAQPage or Article/BlogPosting schema depending on what the page actually is. View source on any page here, search for application/ld+json, and it's there — not a claim, something to check.
The same discipline was part of the technical SEO work built for Daewoo Nepal's storefront from the start: structured schema markup, architecture audits, and internal linking, done as one line item among the others rather than skipped for launch and revisited later.
Check your own site in two minutes
- 01Right-click any page on your site and choose "View Page Source."
- 02Search the page (Ctrl+F / Cmd+F) for
application/ld+json. - 03If nothing comes up, that's the gap — not a bug, just a step nobody added yet.
- 04If something does come up, paste it into Google's Rich Results Test to confirm it's actually valid, not just present.
None of this is expensive or slow to fix once it's noticed. It's the same story as the robots.txt default most sites never check: not a strategy failure, just a step that was never anyone's job until someone went looking for it.
If you want someone to actually look, it's the kind of audit I do for a living.
