Ecommerce keyword research is five steps: discover the universe of terms shoppers actually search; classify each by intent (informational, commercial, transactional); map to the right page type (PDP, PLP, guide); prioritize by opportunity; brief and ship. Most teams skip the classification and mapping steps which is why PDPs and PLPs end up targeting the wrong queries and underperform.
Step 1: Discover the Universe
Pull keyword data from Google Search Console, Ahrefs / Semrush / Moz / similar, Amazon search terms, internal site search, and competitor keyword gap analyses. Collect head, mid, and long-tail terms. Don’t filter the classification step yet, that.
Step 2: Classify by Intent
|
Intent |
Example query |
Target page type |
|
Informational |
“how to choose a road bike” |
Guide / blog |
|
Commercial investigation |
“best road bikes under $1000” |
Comparison / PLP |
|
Transactional (head) |
“road bikes” |
PLP (top category) |
|
Transactional (mid) |
“men’s road bikes” |
PLP (subcategory) |
|
Transactional (long-tail) |
“Trek Domane SL 5 2026 carbon” |
PDP |
Step 3 Map to Page Type
PDPs target long-tail transactional queries with specific product attributes. PLPs target head and mid-tail commercial/transactional queries. Guides and comparisons target informational and upper-funnel commercial. Mismatching produces pages that don’t rank because intent doesn’t fit.
Step 4 Prioritize
Score by search volume × commercial value × winnability. Winnability factors in competition (DR of top-10), brand authority, and existing rankings. Most teams over-index on volume; winnability is at least as important.
Step 5: Brief and Ship
For each prioritized query, brief: target page (URL), target query, secondary queries, content angle, success criteria. Briefs are how research becomes shipped work; without them, research becomes a spreadsheet.
Common Mistakes
Skipping intent classification (every keyword targeted with the same shape of page); over-indexing on volume; ignoring internal site search data; targeting head queries with PDPs (won’t win); targeting long-tail with PLPs (no demand). Centric runs ecommerce keyword research through its ecommerce SEO service.
Frequently Asked Questions
How do I do keyword research for ecommerce?
Five steps discover, classify by intent, map to page type, prioritize by opportunity, brief and ship. Skipping classification is the most common mistake.
What page type wins which queries?
PDPs win long-tail transactional; PLPs win head / mid-tail commercial; guides win informational. Mismatched assignment is why many ecommerce pages underperform.
Should we go after head queries with product pages?
Usually no. Head transactional queries “running shoes” are PLP territory. PDPs win the specific long-tail behind them.
How big should our keyword universe be?
Hundreds to thousands depending on catalog size. The work isn’t producing more keywords; it’s classifying, mapping, and prioritizing them.
Conclusion
Ecommerce keyword research isn't about collecting the longest list it's about classifying, mapping, and prioritizing the right terms to the right pages. Discover, classify by intent, assign to page type, prioritize by opportunity, brief and ship. Teams that skip the middle three steps end up with PDPs chasing head queries they can't win and PLPs targeting long-tail terms with no demand.
The research is only as valuable as the briefs it produces. Briefs are how spreadsheets become ranked pages. Centric runs ecommerce keyword research discovery through prioritized briefs as part of its ecommerce SEO service.
