Spark playbook scenarios · Spark: AI Store Assistant

Audit multilingual page relationships and search signals

A merchant finds duplicate URLs, unexpected canonical choices or pages that are not appearing in search. In this case, the immediate task is to audit multilingual page relationships and search signals. The workflow should produce a URL-level diagnosis with evidence and follow-up checks, using the merchant's actual records and constraints.

Topic

Technical SEO and Indexing

Target keyword

shopify multilingual seo audit

Copyable AI prompt

A prompt you can drop directly into Spark

First replace every [bracketed] placeholder with real store scope and constraints, then add any actual records or data you have, and paste it into your preferred AI assistant or Spark agent. Spark will follow this page's workflow to produce structured output and verification steps.

ai-prompt.txt

Act as a Shopify operations specialist.
Help me audit multilingual page relationships and search signals.
My store context is [describe the business, products and target audience].

My scope is [specify the affected products, pages, customers or reporting period]. Use these inputs: [provide affected URLs, intended indexability, page-source signals, sitemap entries and available search-console evidence].

Compare discovery, canonical and language signals; identify contradictions and separate technical fixes from unverified indexing outcomes.
Return a URL-level diagnosis with evidence and follow-up checks for the specified task.
Show the relevant evidence or before-and-after examples and explain how I can verify the result.
If essential data is missing, ask for it and mark unsupported conclusions as unknown.
Do not invent metrics, product claims or customer facts.
For any publication, message, account or store change, use only connected tools within my explicitly authorized scope and report success only after verification; otherwise provide the draft or proposed steps.

Use in Spark

Scenario & problem

When does this scenario usually come up?

Start with the business context, the trigger, and the expected output before moving into the execution steps.

How to solve

A recommended resolution workflow

Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.

Step 1

Start with affected URLs, intended indexability, page-source signals, sitemap entries and available search-console evidence.

Step 2

Compare discovery, canonical and language signals; identify contradictions and separate technical fixes from unverified indexing outcomes.

Step 3

Deliver a URL-level diagnosis with evidence and follow-up checks; verify the result against the supplied records and identify unresolved inputs.

FAQ

Common questions when running this scenario

Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.

Does inclusion in a sitemap guarantee indexing?

No. A sitemap provides discovery information but does not ensure a page will be indexed.

Why can duplicate URLs matter?

They can create competing signals about which page represents the content. Confirm the intended canonical relationship before changing URLs.

What information is needed to investigate this use case?

Start with affected URLs, intended indexability, page-source signals, sitemap entries and available search-console evidence. These inputs establish the relevant scope and help separate an actual issue from missing information or an unsuitable comparison. Without them, the result should remain a proposed approach rather than a confirmed diagnosis.

Related scenarios

Continue with adjacent or same-topic scenarios

Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.

Technical SEO and Indexingshopify canonical tag issues