Quick Answer
Structured data is JSON-LD schema markup that tells Google exactly what your store sells — price in ₹, stock, ratings and FAQs. It powers rich results like product cards, star ratings, FAQ dropdowns and sitelinks, and feeds AI Overviews. On HOD Media it is generated automatically, so you never touch code.
What structured data actually does for an Indian store
When a shopper in a tier-2 city searches "cotton kurti under 999", Google does not read your webpage the way a human does. It reads structured data — machine-readable JSON-LD schema embedded in the page — to understand that this is a product, priced in ₹, in stock, with a 4.6-star rating from 120 reviews. That understanding is what lets Google promote your listing from a plain blue link into a rich result: a product card with price and stars, an FAQ dropdown, or a cluster of sitelinks under your brand.
The same markup increasingly feeds AI Overviews and answer engines. When an AI summarises "best budget skincare brands in India", it leans on clean, structured signals to know your price, availability and ratings. No schema, and your catalogue is effectively invisible to that layer of discovery.
The three rich results that matter most for ecommerce
You do not need every schema type. For an Indian storefront, three do the heavy lifting:
- Product schema — surfaces price (₹), availability, MRP/compare-at, and review stars directly in search. This is what turns a link into a shoppable card.
- FAQ schema — expands your listing with question-answer dropdowns ("Is COD available?", "What is the return window?"), pushing competitors down the page.
- Sitelinks / breadcrumb schema — gives Google the structure to show multiple deep links (Sarees, Kurtis, New Arrivals) under one branded result.
Product review stars in particular have an outsized effect on click-through in India, where trust and social proof drive conversions as much as price.
Why "add schema yourself" fails most sellers
Guides tell you to hand-write JSON-LD or paste a plugin snippet. In practice this breaks: prices go stale when you run a Diwali discount, stock status lies after a variant sells out, and one malformed comma silently kills the whole rich result. For a busy seller managing COD, RTO and pin-code serviceability, maintaining schema by hand is not realistic.
The better model is schema that is generated automatically from your live catalogue, so it is always accurate. On hodmedia.in, Product, FAQ and sitelinks JSON-LD are emitted for you — driven by the same data that powers your storefront, prices and stock. When a variant goes out of stock, the schema reflects it; when you set a compare-at MRP, the discount shows up correctly.
HOD auto JSON-LD vs manual and plugin approaches
| Capability | Manual JSON-LD | Generic plugin | HOD Media (built-in) |
|---|---|---|---|
| Product schema (₹ price, stock) | Hand-coded, breaks often | Sometimes | Automatic from catalogue |
| Review stars in results | Manual | Add-on/paid | Built-in with product reviews |
| FAQ rich result | Manual per page | Varies | Auto FAQ JSON-LD |
| Sitelinks / breadcrumbs | Rarely done | Partial | Automatic |
| Google Merchant feed (google.xml) | Separate work | Extra plugin | Included |
| Stays accurate on discounts/stock | No | No | Yes — live data |
Structured data and your Google Merchant feed work together
Rich results are one half; the shopping surface is the other. HOD also generates a Google Merchant Center product feed (google.xml), so the same catalogue that powers your on-page schema can push products into Google Shopping and free listings. For an Indian store running UPI checkout via Razorpay, native COD and multi-courier shipping, this means one source of truth feeds both organic rich results and shopping placements — without duplicate data entry.
What to do this week
- Add real product reviews so star ratings have data to mark up — HOD's reviews emit rich-snippet stars automatically.
- Write a genuine FAQ on high-intent products (COD, delivery time to your pin-codes, GST invoice, returns) so FAQ schema has substance.
- Keep stock and compare-at (MRP) prices current — accurate structured data beats aggressive markup every time.
- Submit your google.xml feed to Merchant Center to open the shopping surface.
Structured data is not a growth hack; it is table stakes for being understood by Google and AI answer engines. The differentiator is whether it stays correct without engineering effort. A platform like HOD Media that ships Product, FAQ and sitelinks JSON-LD out of the box — priced in rupees, with a free 3-month trial and no per-sale commission — lets you focus on the parts of the business machines cannot do for you.
Do I need to know coding to add structured data to my store?
No. On HOD Media, Product, FAQ and sitelinks JSON-LD are generated automatically from your live catalogue, so there is nothing to hand-code. The schema updates itself when you change prices, run discounts, or a variant goes out of stock. This avoids the stale-price and broken-markup problems that plague manual snippets and plugins.
Will structured data guarantee I get rich results in Google?
No platform can guarantee rich results — Google decides based on quality, relevance and policy compliance. Valid structured data is a prerequisite, not a promise. What you can control is accuracy: correct ₹ prices, real review stars, genuine FAQs and in-stock status. Clean, truthful schema materially improves your eligibility for product cards, FAQ dropdowns and sitelinks.
How do review stars show up in search results?
Star ratings appear when your product has review data marked up with schema. HOD's built-in product reviews emit rich-snippet star markup automatically, so genuine customer ratings can surface directly in search listings. In India, where social proof heavily influences purchases, these stars often lift click-through more than price alone.
Does structured data help with Google Shopping and AI Overviews too?
Yes. On-page schema powers organic rich results, while HOD also generates a Google Merchant Center product feed (google.xml) for Shopping and free listings. Both draw from the same catalogue, so your ₹ prices and stock stay consistent. Clean structured signals also help AI Overviews and answer engines cite your products accurately.
What structured data types should an Indian ecommerce store prioritise?
Focus on three: Product schema (price in ₹, availability, MRP/compare-at, ratings), FAQ schema (COD, delivery, GST invoice, returns questions), and sitelinks or breadcrumb schema for branded navigation. These deliver the most visible rich results for shopping queries. HOD generates all three automatically, so you get coverage without managing each type by hand.