Spark playbook scenarios · Spark: AI Store Assistant

Identify specific long-tail search questions

A content team needs relevant search topics but lacks a structured way to connect terms to buyer intent. In this case, the immediate task is to identify specific long-tail search questions. The workflow should produce a keyword-to-page map and research priorities, using the merchant's actual records and constraints.

Topic

Keyword Research and SEO Opportunities

Target keyword

shopify long tail keyword research

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 identify specific long-tail search questions.
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 seed terms, product catalog, audience, target market and any available keyword evidence]. Cluster by intent, map clusters to suitable pages and separate measured metrics from qualitative opportunity judgments.
Prioritize specific buyer questions grounded in the catalog, without inventing search-volume estimates.
Return a keyword-to-page map and research priorities 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 seed terms, product catalog, audience, target market and any available keyword evidence.

Step 2

Cluster by intent, map clusters to suitable pages and separate measured metrics from qualitative opportunity judgments.

Step 3

Prioritize specific buyer questions grounded in the catalog, without inventing search-volume estimates.

Step 4

Deliver a keyword-to-page map and research priorities; 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.

Are keyword ideas the same as measured search demand?

No. Ideas are hypotheses until supported by relevant research data.

Why group terms by intent rather than exact wording?

Different phrases can describe the same need, while similar words can imply different tasks or purchase stages.

Does a longer keyword always have low competition?

No. Word count alone does not establish demand or competition. Validate the actual phrase in the intended market.

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.

Keyword Research and SEO Opportunitiesshopify keyword performance tracking