Ecommerce Product Questions to Citation-Ready Assets: A 6-Phase Playbook

Keep the source name on every row, then add columns for raw_query, monthly_volume (when available), and bucket (from Phase 1). The export steps below define the time window for each input.

Deduplicate by normalising spelling and stripping stop words. A simple approach: paste the cleaned query list into a spreadsheet and use =COUNTIF to surface duplicates, then keep the version with the highest GSC volume. After deduplication, sort by bucket. You should have four tabs - Attribute, Comparison, Policy, Compatibility - each containing the raw questions you will map in Phase

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Record the mapping in your master sheet: add columns asset_url, asset_type, schema_type, and implementation_status. Set implementation_status to Needs review for every row at this stage. You will update it to Ready or Blocked in Phase 4. This sheet is your source of truth for the rest of the playbook.

Add JSON-LD blocks to each asset URL identified in Phase 3.

Paste the URL, run the test, and check for errors (red) versus warnings (orange). Set implementation_status to Ready for passes and Blocked for errors. Do not move to Phase 5 until every Priority 1 URL shows Pass.

For FAQPage markup on policy pages, validate the same way. This alignment step is what makes the asset addressable against the specific query, not just the topic.

Do not use FAQPage or HowTo markup as an AI-citation lever. Keep visible FAQs and step-by-step instructions only when they help the reader complete the task.

Build a frozen prompt set from the Priority 1 questions identified in Phase 2. Write each prompt in the language a buyer would use, then lock the wording for the whole run.

Add target_surface and run_location columns to the Prompt Log. Copy each frozen prompt into one row for every surface-interface pair the team approves for this sprint, then reuse the same pairs on every dated rerun.

For each row, open the declared surface in a fresh browser session or new conversation, enter the frozen prompt without changing it, and wait for the response.

Paste the complete response into answer_text. Paste every displayed source link into visible_source_urls; use an empty list when the response displays none. Compare those URLs with the exact owner URL saved in Phase 3 and record Match or No match in owner_url_match.

Use columns for prompt_text, target_surface, run_location, run_date, provider, model_version, answer_text, visible_source_urls, owner_url_match, competitor_visible, result_status, and next_action. Complete every field before interpreting the result.

Every Priority 1 row needs an explicit final status and a next action. A blank status is unresolved work; a Deferred status requires an owner, reason, and review date.

After any rollback, repeat the validation step and record the new result before changing the row status.

Use four final states in the master sheet: Ready (validation passed and a prompt-surface run is logged), Blocked (validation failed and a fix is assigned), Deferred (out of scope with a documented review date), or Monitoring (validation passed, the page is absent from the recorded result, and a rerun is scheduled). Close the sprint only when every Priority 1 row has one of these states and a corresponding next action.

Use each row at the phase named in the Stop condition column. Stop the workflow there, apply the listed fix, and resume only after the condition is cleared.