Bring these inputs
Search Console queries, site-search terms, customer questions and a dated keyword-tool export.
Use approved, minimized data. Replace personal details with anonymous IDs.
Work through the lesson
- Export queries with impressions, clicks, dates and landing pages. Keep country and device filters visible.
- Ask AI to group terms by buying intent, product attributes and questions. Treat estimated volume from a keyword tool as an estimate; AI-generated numbers are not keyword research.
- Map each cluster to one primary page. Compare current pages before creating new ones so several URLs do not compete for the same intent.
- Choose long-tail topics where you can provide specific evidence: sizes, materials, use cases, comparisons and care instructions.
- Write a brief with the customer question, answer, product facts, internal links and success measure. Review impressions, qualified visits and outcomes after publishing.
Try this prompt
Replace the bracketed fields with your own evidence.
Cluster this dated keyword export [data] by intent. Preserve original metrics and flag missing values. Map each cluster to [existing URLs]. Suggest one primary page per cluster, explain overlap and produce three briefs grounded in our actual products. Do not invent demand or ranking difficulty.
Worked example
“Carry-on organizer dimensions” calls for a clear size comparison; a general travel inspiration article may not answer that buying question.
Before you use the result
- Metrics have a named source and date.
- Intent matches the destination.
- New pages add distinct value.
Complete the exercise
Create the deliverable described at the top of this lesson. Save the input evidence, your edited output, unresolved questions and the name of the reviewer in your workbook.