AI Keyword Research Workflow

Discover high-value keywords with AI — from seed keywords to long-tail opportunities mapped to search intent.

4 steps
seomarketingresearch
1

Generate seed keywords with AI

Start with your product, service, or topic. Use AI to expand it into dozens of seed keywords covering every angle.

Example prompt
I run a [BUSINESS TYPE] that offers [PRODUCTS/SERVICES]. Generate 30 seed keyword ideas covering: main product terms, problem-based terms, competitor terms, and industry jargon. Include search intent for each.
2

Map keywords to search intent

Categorize every keyword as informational, navigational, commercial, or transactional. This determines content type.

Example prompt
Categorize these keywords by search intent: [LIST OF KEYWORDS]. For each: label intent (informational/commercial/transactional/navigational), suggest ideal content format, and estimated difficulty to rank.
3

Find long-tail keyword clusters

Group related keywords into topic clusters. Long-tail keywords have lower competition and higher conversion rates.

Example prompt
Take these seed keywords: [SEEDS]. Generate 5 long-tail keyword clusters for each. Include: keyword phrase, estimated monthly searches, difficulty (easy/medium/hard), and content idea.
4

Build your keyword priority matrix

Score every keyword on opportunity (search volume × CTR estimate) minus difficulty. Focus on quick wins first.

Example prompt
Create a keyword priority matrix from this list: [KEYWORDS WITH DATA]. Score each on: opportunity (1-10), difficulty (1-10), business relevance (1-10). Final score = (opportunity + relevance - difficulty). Rank from highest to lowest.
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