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Classifying search queries by goals
A query isn’t just a “keyword” — it’s a person’s task: learn, find a site, compare, or buy. The type decides which page should answer and what content fits.
Below: a map of classification by goals and related axes (geo, season, frequency, competition). How to read the SERP and not mix intents on one URL — in the user intent piece; HF/MF/LF — separately on frequency.
Why split queries
Search matches result type to the task. A site wins when the page matches the dominant SERP intent.
Types combine: “buy TV Moscow” is commercial/transactional + geo. Classification is a working map, not a rigid cage.
Geo, season, frequency, and competition
Geo-dependent queries expect a local answer; geo-independent ones — a general one. For on-site services, geo in the structure is required.
Seasonal peaks change demand and the SERP — prepare content and ads early, not at the peak.
HF/MF/LF and competition level are other axes of the same semantics: volume and entry difficulty. They don’t replace intent.
Practice for the site
For each cluster’s main intent — its own URL. Don’t mix “how to choose” and “buy” on one thin page if the SERP is split.
Keep info articles on a commercial domain on-product: otherwise you risk dilution and weak rankings.
Revisit query type over time: the same brand query can shift from info to purchase.
FAQ
How is this different from user intent?
This article is a taxonomy of query types. How to read intent from the SERP and build a page for it is covered separately.
Are commercial and transactional the same?
Commercial is close to purchase/price. Transactional is broader: download, subscribe, watch — any target action.
One query — one type forever?
No. A new product is first sought as info, then as a purchase. Check the current SERP.
Does a commercial site need info traffic from a blog?
Yes if the topic sits next to the offer and builds trust/internal links. Off-topic themes hurt.
What does geo-dependence give?
It hints whether you need local landings, maps, and city in the structure. Don’t confuse with navigational “brand name” queries.
Is high frequency always more important than low?
No. Frequency is volume; intent and margin matter more. See query frequency.
Where to start clustering?
Group by main intent → one priority page per cluster, then refine geo and commerce.
Chasing high-frequency keys — without labeling intent?
We’ll mark info vs commercial vs navigational on your core so each cluster gets the right page — not one thin URL for everything.
Discuss the task
