The four types of search intent

Every query in a search engine reflects a specific intention. Ignoring that means building pages that technically exist but never rank.

Intent type Example queries Suitable page type
Informational “how to choose a smartphone”, “what is APR” Article, guide, FAQ
Navigational “best buy website”, “ikea catalogue” Homepage, a section of the site
Transactional “buy iPhone 15 Pro”, “order delivery” Product page, category
Commercial investigation “best laptop under $800”, “vacuum cleaner comparison” Comparison, round-up, ranking

How a search engine determines intent

Search engines never ask people about their intentions — they process the behaviour behind billions of queries: what gets clicked, how long people stay on a page, whether they come back. The SERP is effectively a vote by users on which content type belongs there.

Important: the best way to determine the intent of a specific query is to study the top ten results by hand. If eight of them are category pages and two are articles, the algorithm considers the query transactional with a small informational share.

Intent in e-commerce: why it is critical

In online retail an intent mistake costs traffic and revenue.

Example: promoting a category page for the query “how to choose running shoes” is ineffective. The person wants information, not a product listing. The right answer is a selection guide that leads down to the category.

The practical split for e-commerce:

  • Transactional queries to product pages and categories with filters
  • Commercial investigation to rankings, comparisons and round-ups (“top 10 televisions 2025”)
  • Informational to blog articles with native CTAs to products

Intent and AI answers (AI Overviews, Perplexity)

Since generative answers appeared in search engines, intent has become even more important. Informational queries are increasingly closed off by an AI snippet with no click. For e-commerce that means betting on transactional and commercial investigation queries — AI answers appear there less often and the value of a click is higher.