Technical SEO Case study

MU SEO Schema Safety

I wrote a private set of MU-plugins to steady the structured data a commerce store puts in front of search engines: product and category metadata, JSON-LD output, fallback Product/Offer schema, model and reference signals, brand fallback behavior, ItemList structures, favicon behavior and LCP hints. The ranking rules and the production implementation stay private.

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The business problem

Commerce SEO breaks when category descriptions, product structured data and plugin-generated JSON-LD drift out of step with each other. I had to be precise about the fix, because this metadata is public and it moves both search visibility and customer trust.

What I delivered

Private MU modules for product/category essentials, ItemList output and global JSON-LD repair.
Fallback Product and Offer schema safeguards for cases where upstream output is missing or incomplete.
Reference extraction, brand fallback and shipping-detail normalization while keeping live SEO rules private.

Technical approach

Worked at the output-quality layer rather than publishing internal ranking or merchandising rules.
Grouped schema work by public surface so each module can be audited or disabled.
Kept production examples, URLs, product references, shipping rules and customer/product evidence private.

Result and evidence

Product and category pages now sit on a safer structured-data foundation, and the production SEO operations behind them stay confidential.

Commercial value

Consistent metadata lowers review risk for a commerce platform and keeps product discovery search-ready, without exposing sensitive business logic.

Delivery notes

I had to keep the public SEO proof separate from the implementation, then write the work up so a reviewer can follow it without weakening the production systems.

Protected exact SEO rule sets and product references.
Kept schema repair modular and reversible.
Aligned the public showcase with private source history.

implementation-brief.readme

Readable implementation brief

implementation_brief {
  project: "MU SEO Schema Safety"
  context: "WooCommerce technical SEO"
  public_surface: "metadata, JSON-LD, Product/Offer fallback, ItemList"
  private: "ranking rules, URLs, product references, shipping rules"
  outcome: "cleaner structured-data governance"
}

What this project shows

For an employer or client, this shows technical SEO engineering that goes past content editing: output quality at the system level, clear privacy boundaries, and production delivery I can roll back.