How Do You Find Keywords for Ecommerce That Actually Drive Sales?
Keyword research identifies the specific terms buyers type into Google and the questions they ask ChatGPT or Perplexity when looking for products like yours. I build keyword strategies for both traditional search and AI-powered discovery at the same time.
A strategy that only targets Google misses the growing volume of product research happening in AI tools.
This is not a raw keyword dump. You get a structured document mapped to specific pages, intent stages, and AI prompt equivalents.
How I Approach Keyword Research
- Competitive analysis: I find the keywords your competitors rank for that you don’t.
- Intent classification: Every keyword is tagged by buyer intent, from research to purchase.
- AI prompt mapping: Each keyword cluster gets its AI prompt equivalent (e.g., “best creatine brand in Canada”).
- Page mapping: Every keyword is assigned to a specific page: existing, new, or template.
- Ongoing refinement: The strategy updates as search behavior shifts toward AI discovery.
The Four Keyword Types You Need
| Type | Example | Intent |
|---|---|---|
| Informational | “what is creatine monohydrate” | Learning |
| Commercial | “best creatine brand in Canada” | Comparing |
| Transactional | “buy creatine monohydrate online” | Buying |
| Navigational | “failon oben creatine” | Finding a brand |
What You Get
- Prioritized keyword list: Ranked by business potential, not search volume alone.
- Intent map: Every keyword classified by where the buyer is in the journey.
- AI prompt equivalents: The questions AI tool users ask for each keyword cluster.
- Page assignment: Which page targets which keyword: existing pages, new pages, or templates.
- Content briefs: Outlines for the new pages your strategy requires.