Keyword Research & Search Intent Mapping: 2026 Guide

Keyword research still gets treated as a volume hunt: export the biggest numbers, sprinkle them into pages, hope for traffic. In 2026 that approach loses to search intent. Google ranks the page that best satisfies why someone searched, not the one that repeats the phrase most. For Australian e-commerce and DTC brands, where a handful of categories are fiercely contested, mapping intent to the right page type is the difference between traffic that browses and traffic that buys. This guide walks the full process, step by step.

Step 1 — Build the seed list and expand it

Start with the language your customers actually use, not internal jargon. Mine three sources: your own site search and product names, competitor category and collection pages, and question data from People Also Ask, forums and reviews. Then expand each seed with modifiers such as 'best', 'vs', 'for [use case]', 'near me', size, colour and price to surface the long tail where conversion lives.

• Informational ('how to', 'what is', 'ideas'): satisfy with guides and blog content, and capture the top of the funnel.
• Commercial ('best', 'review', 'vs', 'top'): serve with comparisons and buying guides that link to products.
• Transactional ('buy', 'price', 'discount', product names): serve with category and product pages.
• Navigational (brand and 'brand + product' terms): protect with strong brand and store pages.

Step 2 — Map keywords to pages and prioritise by revenue

• Cluster keywords that share the same intent and SERP into one target page: a single page can own dozens of queries.
• Assign each cluster a page type (guide, comparison, category, product) so briefs write themselves.
• Score each cluster: estimated volume x intent value x conversion rate x margin, then rank.
• Check for cannibalisation: if two URLs target the same intent, merge them or redirect the weaker one.
• Ship the top ten clusters first; a focused roadmap beats a spreadsheet of 3,000 unactioned keywords.