# Search Intent

> Source: https://rankxai.com/glossary/search-intent · Last updated: 2026-08-18

Search intent is what a person actually wants when they type a query, as distinct from the words they used. Search intent is usually sorted into informational, navigational, commercial and transactional, and matching it decides whether a page satisfies a searcher or merely mentions their keyword.

## Do the four intent categories still hold?

As a planning tool, yes, and they were always coarse. The categories tell you what kind of page to build, which is the decision they exist to support: a comparison page for commercial intent, a definition for informational, a product page for transactional. Nothing about answer engines changes that mapping. The category that has aged worst is navigational, because an assistant answers a navigational question by describing the destination rather than sending you to it. Somebody asking what a company does used to arrive on its homepage; now they may get a summary and never arrive at all, which is a change in outcome rather than in intent.

## What did query fan-out change about intent?

It made one query carry several intents at once, explicitly. Google describes [fan-out](/glossary/query-fan-out) as “breaking down your question into subtopics and issuing a multitude of queries simultaneously”, and those generated searches routinely span categories: a single commercial question fans out into definitions, comparisons, prices and criteria in the same pass.

So a page built for exactly one intent now satisfies part of an answer rather than all of it, and the pages that get cited are the ones covering whichever sub-intent they are strongest on. That is an argument for one page per intent with clear links between them, rather than one page attempting all four.

## How do you read intent without guessing?

By looking at what already ranks, which is the engine telling you what it believes the intent is. If the first page is entirely comparisons, a definition will not win that query no matter how good it is, and the honest response is to write the comparison or to target a different question.

The recommendation, which could be wrong when a results page is genuinely mixed: treat the current page as evidence rather than as a rule, and be willing to be the page that satisfies an intent nobody has served yet. Those are rare and they are where the [information gain](/glossary/information-gain) is. One caution on reading the evidence: a results page reflects what the engine currently believes, and beliefs about newer topics are unstable.

On an established query the page is a strong signal; on something six months old it is a first guess. The other place to look is what happens after the click, which no results page shows. If everybody who lands on a page from one query leaves immediately, the intent was misread whatever the ranking suggests, and that is a measurement you own rather than one you infer.

## Sources

- [Google: AI Mode announcement, 20 May 2025](https://blog.google/products/search/google-search-ai-mode-update/), checked 2026-08-18
- [Google Search Central: creating helpful, reliable, people-first content](https://developers.google.com/search/docs/fundamentals/creating-helpful-content), checked 2026-08-18