Case studieshello@codekidz.ai

Ecommerce visibility diagnostics

Product visibility and feed-signal troubleshooting

A product visibility problem was converted into an evidence-backed technical path across public pages, Merchant Center-style diagnostics, structured data, metadata, robots rules, feeds, and developer handoff.

Problem

The buyer had a business-facing visibility issue: products were not showing, were being disapproved, were showing the wrong image or price, or were sending conflicting signals to a platform. The surface symptom was simple, but the possible causes crossed store code, feed data, crawl behavior, metadata, and third-party widgets.

  • The visible storefront could look correct while machine-readable signals were wrong.
  • Platform error messages often mixed real blockers with generic advice.
  • The buyer needed a clear technical path their developer or support contact could act on.

What we delivered

The paid scope isolated the signal path instead of guessing. Depending on the issue, this can cover Merchant Center product data, Google image/search behavior, schema and JSON-LD, Open Graph metadata, sitemap inclusion, robots/API access, canonical signals, feed-vs-page mismatches, and support-ready evidence.

  • Evidence showing which signals were visible, missing, stale, blocked, or conflicting.
  • A fix order that avoids changing everything at once.
  • A validation path for recrawl, support escalation, or developer review.

Why this stays safe

The first pass can usually start without admin credentials. Public pages and redacted diagnostics are enough to decide whether the likely blocker is in theme output, feed settings, crawl access, product identifiers, metadata, or platform-side interpretation.

  • No customer, order, or payment data is needed for the initial diagnosis.
  • Sensitive account access can wait until the blocker category is known.
  • Implementation, feed edits, or developer support can be quoted separately if the buyer wants hands-on resolution.

Follow-on scopes

A first pass can remain a compact blueprint, or it can expand into implementation when the buyer wants a larger artifact.

  • Developer handoff with affected and control URLs
  • Structured-data, metadata, feed, or crawl-access patch guidance
  • Post-fix platform screenshot, support-ticket, or recrawl review

These examples are anonymized. Names, domains, emails, private screenshots, exact products, and private commercial details are removed or generalized.

Contact

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Send the context you can share safely. We can start with a small artifact and quote broader implementation separately.

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