Problem
The buyer saw inconsistent search presentation across market variants. The question was not simply whether search engines had updated; the visible pages needed to be checked for conflicting price, currency, canonical, and structured-data signals.
- Public pages showed different market and currency contexts.
- Structured data needed to be compared against the visible product experience.
- The next action had to be based on evidence, not guesswork.
What we delivered
The output was a technical diagnostic note: the surfaces inspected, what each page was signaling, what likely caused the mismatch, and which tests should confirm the fix.
- A URL-by-URL evidence table.
- A concise list of likely causes and non-causes.
- A fix priority list with validation steps.
Why this can become implementation
The first pass identified the technical path. If the buyer wants execution, the next scope can produce code notes, theme edits, schema snippets, or developer-ready QA steps.
- Theme or structured-data patch guidance.
- Regression checklist for multiple markets.
- Developer handoff with exact test URLs and expected results.
Follow-on scopes
A first pass can remain a compact blueprint, or it can expand into implementation when the buyer wants a larger artifact.
- Schema snippet review and patch guidance
- Market variant QA worksheet
- Developer handoff pack with before/after validation steps
- URL-by-URL evidence table
- Likely cause and non-cause separation
- Developer-ready validation checklist
CSV fileMarkets and rich-results evidence tableA spreadsheet-ready evidence table that can be opened directly or downloaded into Sheets/Excel.