Schema markup
Schema markup is JSON-LD that tells Google, Bing, and AI search what a page is about, in machine-readable form. The vocabulary comes from schema.org and covers types like Article, Product, FAQPage, HowTo, SoftwareApplication, DefinedTerm, and Organization.
What it means in operation
Every page on the MobiTaste marketing site carries one or more JSON-LD blocks in the head. A pricing page carries a Product with Offer entries per tier. A guide carries Article plus HowTo. A glossary entry carries DefinedTerm linked to a parent DefinedTermSet. An FAQ page carries FAQPage with Question and Answer pairs. The blocks include fields the page already shows (name, description, price, author) plus relationships (this article is in this category, this term is in this set). Crawlers and AI answer engines read the blocks to decide what to surface, with what label, in answer boxes and search results.
Why it matters
The visible search result is shaped by the schema. A pricing page without Product schema renders as plain blue links. A pricing page with proper Product and Offer schema can render with the price, the currency, and a “from $10/month” line under the title. For AI answer engines (Perplexity, ChatGPT search, Claude), the schema is often the only structured signal they read. A page without it relies on the answer engine guessing. The buyer’s question is whether every page on the vendor’s site has the right schema, not just the homepage.