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SEO Glossary

Search Intent (User Intent)

Definition

Search intent (also called user intent or query intent) is the goal behind a query. The working taxonomy has four categories: informational (learning something — 'how to do an SEO audit'), navigational (reaching a specific site — 'Search Console login'), commercial (comparing before buying — 'best SEO tools 2026'), and transactional (ready to act — 'buy Ahrefs subscription'). Intent match is among the strongest determinants of whether a page can rank at all: a product comparison aimed at an informational query will underperform regardless of domain strength or backlinks, because it answers a question nobody asked. The reliable way to read intent is to examine what already ranks.

How do you determine the search intent of a keyword?

Search the term and read the top ten results as evidence. Google has spent years testing what satisfies that query, so the page types that rank are its verdict on intent. If the first page is all tutorials, a pricing page will not break in. Check the result format too — listicles, tools, videos, or product pages — since format is part of what Google decided the query wants.

What happens when content does not match intent?

The page struggles regardless of its quality. Intent mismatch is the most common reason a well-written, well-linked page fails to rank for its target term. It also shows up in behaviour: people arrive, see the wrong kind of page, and return to the results. That pattern is visible to Google through its click data and reinforces the original judgement.

Can one keyword have mixed intent?

Yes, and those results pages look different. A query like 'seo audit' returns tools, guides, and service pages together, because Google is hedging across several plausible goals. Mixed-intent SERPs are opportunities — you can rank with a format that is underrepresented — but they are also unstable, since a shift in what users click can change which format Google favours.

How does search intent differ for AI answers?

AI engines decompose one query into several sub-questions and retrieve passages that answer each. That rewards content covering the full span of related questions rather than a single narrow answer, and it means a page can be cited for a sub-question it was not written to target. Intent still governs, but at the passage level as well as the page level.

How does intent map to the buying journey?

Modifiers give it away. 'What is' and 'how to' signal awareness; 'best', 'vs', and 'alternatives' signal consideration; 'pricing', 'reviews', and 'near me' signal decision; 'template' and 'checklist' signal implementation. Mapping keywords to stages prevents the common error of pointing every page at high-volume awareness terms while nothing serves the queries closest to a purchase.

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