Also known as: Search Intent, Search intention, User Intent
Search intent is the real intention with which a user submits a search query. Recognising it is the most important task before writing any content brief: someone searching for ”running shoes” wants an overview (commercial), while someone searching for ”buy running shoes for flat feet” is close to a purchase decision (transactional). Incorrect assumptions about intent are the most common reason why content fails to rank despite solid technology and backlinks.
Four methods in a clear order: (1) Analyse the search phrase — question words (what, how, why) point to informational intent, purchase verbs to transactional intent. (2) Google the SERP — what currently ranks? If the top 10 consists of guides, the intent is informational, even if the phrase sounds commercial. (3) Read the SERP features — featured snippet = informational, shopping ads = transactional, local pack = local. (4) Take mixed intent into account — some queries carry several intents at once, and Google then ranks a mixture.
A product page that is meant to rank for an informational term will rarely succeed — Google sees guide articles in the top 10 and classifies the query as ”informational”. An isolated product page has no chance of entering that cluster. The solution: build your own guide content close to the product topic and link internally to the product. Serve the intent first, then convert.
Example: A shop writes product page copy for ”women's running shoes” and wonders why the position is stuck at 35. SERP analysis shows that the top 10 consists of 8 comparison and guide articles and 2 marketplace categories. The intent is informational and commercial, not transactional. The solution: a dedicated magazine section with an article titled ”Best running shoes for women — 12 models tested” that links internally to the product page. The article reaches position 6 after 8 weeks and generates leads for the product page — the workaround via the correct intent format.
Search intent classification in the SEO analysis
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