How the Course Works

Engagement Types

Different store owners learn differently. The course is structured to accommodate varied schedules, technical backgrounds, and starting points.

Three Ways to Move Through the Course

The content is the same across all engagement paths. What differs is pacing, depth of supplementary material, and how much time you spend on each task before moving forward.

Work through the modules in order from start to finish. Each lesson builds on the previous one. The sequential path is designed for store owners who are new to structured data and want to develop a complete picture before applying anything.

Approximately 4-6 hours total across all modules

Suited for store owners with no prior schema experience

Tasks completed in module order, each building on the last

Jump directly to the topic area where your store has gaps. If your product schema is already implemented but your review markup is missing, start with the review integration module. Each module is self-contained enough to be useful in isolation.

Time varies by number of modules selected

Suited for store owners with some existing SEO knowledge

Module prerequisite notes guide selection

Use the course as a structured audit framework for your existing store. Each module becomes a checkpoint: does your store currently do this? The tasks serve as audit items rather than implementation steps. This path works well if you have an existing developer or agency handling implementation.

Shorter per-module time, focused on evaluation

Suited for store owners managing a technical team

Produces a documented audit of current schema coverage

Module 1

How Search Engines Process Product Pages

An overview of the signals search engines use specifically for product pages, distinct from general web pages. Covers the crawl and indexing process, how structured data is extracted separately from page content, and why product pages need their own SEO approach.

Lesson Task: Run your main product page URL through the URL Inspection Tool in Search Console. Document what Google's last crawl found. Compare to what you see in your browser.

Module 2

Product Schema: Core Properties

JSON-LD implementation for product pages. Covers the required and recommended properties in Google's Product schema documentation. Walks through a complete schema block for a real apparel product, explaining each field's purpose and the consequences of omitting it.

Lesson Task: Run your product page through the Rich Results Test. Identify which Product schema properties are present and which are missing. Record your findings.

Module 3

Offer Schema and Pricing Signals

The Offer type within Product schema carries pricing, availability, and seller information. This module covers priceValidUntil, itemCondition, availability values, and how the Offer block affects Google Shopping surface eligibility.

Lesson Task: Check whether your current schema includes an Offer block with availability and price. Add or correct the availability value using the schema.org vocabulary.

Module 4

Review and Rating Schema

AggregateRating implementation, individual Review markup, and the relationship between review count and rich result eligibility. The module walks through a beauty store's review schema and shows how validation errors prevent star display in search results.

Lesson Task: Check whether your store's review data is marked up with AggregateRating schema. Validate the output in the Rich Results Test and note any warnings.

Module 5

Category Structure and Breadcrumb Markup

How category page architecture affects product page authority. BreadcrumbList schema implementation, canonical tag decisions for faceted navigation, and how to evaluate whether your current category structure serves search engines effectively.

Lesson Task: Map three levels of your category hierarchy. Check whether breadcrumb schema reflects that hierarchy accurately. Identify any mismatches between URL structure and breadcrumb markup.

Module 6

Internal Linking and Crawl Efficiency

How product pages connect to each other and to category pages affects how search engines allocate crawl budget across your catalog. This module covers related product links, cross-category navigation, and how to audit internal link patterns using Screaming Frog's free tier.

Lesson Task: Crawl up to 500 pages of your store with Screaming Frog. Export the internal links report. Identify which product pages have fewer than three internal links pointing to them.

Shopify

Theme-level schema editing, metafields for structured data, and how Shopify's built-in schema compares to what Google expects. Notes on which apps add or override schema output.

WooCommerce

Plugin-based schema implementation, Yoast WooCommerce SEO coverage gaps, and manual JSON-LD additions via theme functions. How WooCommerce product data maps to schema properties.

BigCommerce

Stencil theme schema customization, BigCommerce's native structured data output, and how to identify gaps using the Rich Results Test on live product pages.

Custom Builds

For stores on custom platforms, the course covers the underlying JSON-LD structure directly so you can work with a developer to implement or audit schema independent of any specific platform.

Store owner applying e-commerce SEO lesson task on their product pages

Ready to Start?

Whether you work through every module in sequence or jump to the topic most relevant to your store right now, the course is structured so the first task is completable within your first session.

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