BUILT FOR BIGCOMMERCE · NO STENCIL EDITS

Automated JSON-LD schema for BigCommerce stores

Turn product, review, and category data into clean, validated structured data that earns rich results on Google and gets your catalog cited across AI search. No theme code, no Script Manager juggling, no duplicate markup.

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Install BigCommerce App
via BigCommerce App Store
with schema
no schema
Google Search Results +30% CTR
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"@type": "Product",
"aggregateRating": "4.8",
"validated": true
When rich snippets disappear
Lost rich snippets? We fix the schema errors

Finds missing fields, removes duplicate markup, and restores Google-ready structured data.

GSearch Console · Product snippets 8 invalid
Missing field "aggregateRating"
Missing field "brand" and "sku"
Missing field "priceValidUntil"
No global identifier (gtin, mpn)
Either "offers", "review" or "aggregateRating" should be specified
Duplicate Product markup detected
Structured data does not match visible content
{ }JSON Schema App · resolved

Fills every required and recommended fieldRating, price, brand, SKU, and identifiers pulled from your live catalog.

Removes duplicate and conflicting markupGoogle receives one clean Product entity instead of competing ones.

Keeps schema matched to the pageMarkup only references content visitors can actually see.

Re-validates on every changeApprove once, then submit "Validate fix" in Search Console.

Audit my BigCommerce store free
Fixes for: rich snippets not showingstructured data missing fieldstar ratings disappeared

AI SEARCH VISIBILITY

Shoppers ask AI before they reach your store

Product discovery is shifting into ChatGPT, Gemini, Perplexity, and Google AI Overviews. These engines do not browse your storefront. They extract verified facts from structured data, then decide which products to recommend.

71%

of pages cited by ChatGPT include structured data

SE Ranking, 2026

14%

of shopping queries now show a Google AI Overview

SE Ranking, 2026

18%

of ecommerce product pages have complete schema

Nudge, 2026

+44%

AI citations for sites that added FAQ structured data

BrightEdge

image (55) (1)

Position Zero

Get position zero on Google

Schema unlocks the featured snippet, the answer box that sits above the #1 organic result. Google pulls answers from your FAQ, HowTo, and Product schema, putting your BigCommerce store front and center for every "how to," "what is," and "best of" search buyers run before they purchase.

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HOW IT WORKS

Live structured data in four steps

Connect your store once. The app keeps schema accurate as your catalog changes, with zero theme edits.

01

Install the BigCommerce App

Sign up, select BigCommerce as your platform, and install the app to automatically start generating schema markup for your store.

02

Scan your catalog

The app automatically scans products, variants, categories, blogs, FAQs, and business details to accurately map every page type.

03

Generate JSON-LD

The app creates accurate, de-duplicated JSON-LD schema for every page and validates it against Google's guidelines.

04

Sync continuously

Schema markup updates automatically whenever products, prices, stock, or reviews change, keeping rich results accurate and up to date.

How Structured Data Helps BigCommerce Merchants

Structured data helps Google and AI platforms clearly understand your products, brand, and content, improving rankings, rich results, and overall visibility.

Accurate Product Understanding

Structured data spells out what every BigCommerce page actually contains: products, prices, variants, categories, reviews, and brand details. With clean markup in place, search engines no longer have to infer your intent from raw HTML, so they index your catalog more accurately and recognize each page for what it is. That clarity is what makes your products eligible for rich results like price, availability, and ratings.

Update Image

Higher Click-Through Rates

Without schema, your products appear as plain text links while competitors show star ratings, prices, and stock status right in the results. Those enhanced listings catch the eye and build trust before a single click. For BigCommerce stores, rich snippets mean that even pages ranking in the same position can earn noticeably more clicks, turning existing visibility into real traffic.

Lower Click-Through Rates

Stronger AI Search Visibility

AI assistants like ChatGPT, Gemini, Perplexity, and Google's AI Overviews read structured data to understand and recommend products. When your BigCommerce catalog carries accurate schema, these platforms can confidently identify your brand, pull your prices and ratings, and feature your products in AI-generated answers and shopping suggestions, reaching buyers who increasingly start their search inside an AI tool.

Limited AI Visibility1

Clean, Validated Schema at Scale

Adding schema by hand across a large catalog leads to missing fields, mismatched data, and Search Console warnings that quietly remove pages from rich-result eligibility. Automated structured data keeps every product, variant, and category formatted the way Google expects and re-validates as your catalog changes, so your markup stays accurate across thousands of SKUs without ongoing manual fixes.

Clean, Validated Schema at Scale

FULL-CATALOG COVERAGE

Every schema type a BigCommerce store needs

The right markup is detected and applied per page type, with no over-optimization and no manual setup.

Product

Name, image, brand, SKU, GTIN, and description that qualify product pages for enhanced results.

"@type": "Product",
"sku": "TRX-184",
"brand": "Summit Gear"

Offer & AggregateOffer

price · currency · availability

Price, discount, currency, and stock across every variant, formatted exactly how Google expects. Sale prices, price-valid dates, and in-stock states stay accurate as your inventory changes.

Review & AggregateRating

stars · count

Individual reviews and overall ratings, de-duplicated from review apps to avoid conflicting markup. Star ratings and review counts feed the rich snippets and AI answers shoppers check before they buy.

FAQPage

questions · answers

Buyer questions structured for extraction into AI answers and supported rich results.

Collection / Category

ItemList

Category pages mapped so engines understand your catalog structure and surface broader queries.

Organization

brand entity

Business name, logo, contact, and social profiles that establish your brand as a known entity.

BEFORE VS AFTER

Same product. Very different listing.

A plain link blends in. A structured listing shows price, rating, and stock before the click.

Without schema
yourstore.com products trailrunner-x
TrailRunner X Hiking Boot | Your Store
Shop the TrailRunner X waterproof hiking boot. Free shipping on orders over $50. Browse our full footwear collection today.
No rating, price, or stock. Nothing for AI to cite.
With JSON Schema App
yourstore.com products trailrunner-x
TrailRunner X Hiking Boot | Your Store
★★★★★ 4.8 · 612 reviews · $184.00 · In stock
Waterproof trail boot with wide-fit sizing. Rated 4.8 by 612 buyers. In stock with free returns.
Rich result eligible and machine-readable for AI search.

The default-schema gap

BigCommerce includes basic schema, but rich results require much more

Product discovery is shifting into ChatGPT, Gemini, Perplexity, and Google AI Overviews. These engines do not browse your storefront. They extract verified facts from structured data, then decide which products to recommend.

incomplete_markup

Default markup is shallow

Themes cover only the basics. Advanced Product fields, FAQ, and AggregateOffer for variants usually never make it in.

theme_overwrite

Theme updates wipe your fixes

Every Stencil update can reintroduce default schema and overwrite hand-edited JSON-LD, undoing weeks of work.

duplicate_schema

Duplicate Product schema

Review and SEO apps inject their own markup on top of the theme, sending Google conflicting signals it may ignore entirely.

invalid_price

Price & availability errors

Currency symbols in price fields, mismatched stock states, and missing offers are the top reasons snippets fail validation.

Schema health, before and after

Coverage across a typical 800-SKU BigCommerce catalog.

Default Stencil theme34%
Basic Product + Organization only
With JSON Schema App97%
Full catalog, validated and auto-synced
AggregateOffer applied across variants
Review & rating data de-duplicated
Survives theme updates automatically
Validated against Google's rich-result guidelines
★★★★
Built for scale
Built for BigCommerce's most demanding stores

BigCommerce powers large catalogs, B2B, multi-storefront, and headless builds. Structured data is generated per page type and scales cleanly across all of them, with no manual setup.

B2B & wholesale

customer groups

Product and Offer markup stays accurate even with B2B Edition pricing, customer-group rates, and quote-based catalogs.

Multi-storefront

one catalog, many fronts

Each storefront gets correct, consistent schema from the same catalog, with the right domain and brand entity per store.

Headless commerce

any front end

Valid JSON-LD for headless builds where the front end is not Stencil, so rich results survive your custom stack.

Large catalogs

thousands of SKUs

Every product, variant, and category is covered automatically, so coverage does not break as your catalog grows.

Automotive & parts

fitment & SKUs

Deep Product markup for parts catalogs with high SKU counts, brands, and identifiers buyers and engines rely on.

Free Google Shopping listings

shipping & returns

Page-level shipping and returns schema makes products eligible for free Google listings, with no Merchant Center feed required.

30+ Schema Types for Squarespace

Automatically apply the right JSON-LD schema across your Squarespace website without manual setup.

Product Schema

Product Schema

Adds structured product details like price, availability, and specifications to improve visibility and eligibility for rich results in search.

Review Schema

Review Schema

Displays individual customer reviews in search results, helping build credibility and encouraging higher engagement from potential buyers.

AggregateRating Schema

AggregateRating Schema

Shows star ratings and total review counts in search listings to increase trust and improve click-through rates.

FAQ Schema

FAQ Schema

Enables expandable FAQ sections in search results, giving users quick answers and increasing visibility directly on Google.

Why Structured Data Pays Off

The case for getting schema right

Figures reflect published third-party research on schema markup and AI search. Individual outcomes depend on catalog, niche, and content quality.

+30%
organic traffic with proper structured data
Search Engine Journal
58%
higher CTR for listings with rich results
Milestone Research
11.4%
conversion rate from ChatGPT vs 5.3% organic
industry data, 2026
2.5×
more likely to appear in AI-generated answers
structured-data research
🎁 3 Months FREE
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Flexible Pricing for Every Website

Plans built to match your schema and search visibility needs.

Rich Snippet Plan

Paid Annually

$16/Month

Start Rich Snippet Plan

Basic Plan

Forever Free

$0/Month

Start For free

Rich Snippet Plan

$20/Month

Start Rich Snipped Plan

Basic Plan

$0/Month

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Frequently Asked Questions

Google logo

“The agent doesn’t return ten blue links… it pulls from structured business data… to complete the job.”

- Sundar Pichai

JSON Schema App automatically detects, fixes, and manages structured data to help search engines and AI understand your website, improving visibility and rich results.

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