Google Search Console doesn't tell you whether a keyword is informational or commercial. It shows you impressions, clicks, CTR, and position — and leaves intent classification entirely to you. For most sites, this means the query list in GSC is a mix of informational discovery traffic and commercial-intent traffic with no automatic separation between them.
Separating these manually at scale — and understanding what the split means for your content and conversion strategy — is one of the more useful but underused analyses available from GSC data.
The Four Intent Types (and Why Only Two Usually Matter for GSC)
The four standard search intent categories from Search Engine Land's intent taxonomy:
| Intent Type | What User Wants | Typical Modifiers | Conversion Potential |
|---|---|---|---|
| Informational | Learn about something | "how to," "what is," "guide," "examples" | Low — user not yet ready to act |
| Navigational | Find a specific site | Brand names, URLs | High — already knows the destination |
| Commercial | Research before buying | "best," "top," "reviews," "vs," "alternatives" | Medium-high — in evaluation mode |
| Transactional | Complete an action | "buy," "price," "sign up," "download," "coupon" | Highest — ready to act |
In practice, navigational traffic mostly appears as branded search (already handled by the branded/non-branded filter), and the meaningful strategic distinction for content decisions is informational vs commercial/transactional.
How to Identify Intent in Your GSC Query Data
GSC doesn't classify intent automatically, but the queries themselves carry strong intent signals in their modifier words.
Informational Signals
Queries containing: what is, how to, why does, how does, guide, tutorial, examples, definition, what are, can I, should I, difference between
Commercial/Evaluation Signals
Queries containing: best, top, review, vs, versus, alternative, compare, comparison, pros cons, worth it, recommended, for [use case]
Transactional Signals
Queries containing: buy, price, cost, pricing, cheap, discount, coupon, free trial, sign up, download, get started
For a systematic classification: export your GSC query data to a spreadsheet or BigQuery. Apply CONTAINS filters for the modifier word groups above. Any query not matching commercial or transactional modifiers defaults to informational. This isn't perfect — some queries carry intent that isn't obvious from modifiers alone — but it's accurate enough for content strategy decisions at scale.
What the Split Reveals
High Informational, Low Commercial
A query footprint dominated by informational keywords means your content is attracting users at the top of the funnel who are learning, not yet buying. This is valuable for brand awareness and building topical authority, but it should not be confused with demand capture. If your conversion rate from organic traffic is low, and your query mix is heavily informational, the solution is usually more commercial-intent content, not conversion optimization on informational pages.
At StreamAlive, a significant portion of our organic traffic came from informational queries about audience engagement and presentation tools — "how to make presentations more engaging," "interactive presentation ideas," and similar. These drove traffic but converted at meaningfully lower rates than commercial-intent queries. Understanding this split changed where we invested in new content.
High Commercial, High Informational
The most defensible content positions: sites ranking for both informational queries that build trust and commercial queries that capture demand. Users researching a purchase often encounter an informational piece from the same site they later convert on — the informational content is providing a touchpoint in the funnel even if it doesn't convert directly.
Intent Mismatch Problem
Backlinko's search intent guide identifies intent mismatch as a primary cause of high bounce rates and low conversion — a page ranking for a commercial query (user in evaluation mode) that delivers purely informational content (no comparison data, no pricing context, no clear next step).
In GSC, intent mismatch looks like: good position, decent impressions, but CTR and engagement metrics that are materially below what similar pages achieve. The page is visible but users click through and immediately leave because the content doesn't match what they were looking for.
Fixing Intent Mismatch
Informational Page Ranked for Commercial Query
- Add a comparison section or "who this is for" section to the informational content
- Include pricing context and CTAs for users who are ready to evaluate
- Create a separate commercial-intent page (comparison, pricing, or alternatives page) that specifically targets the commercial query
Commercial Page Ranked for Informational Query
- Add educational content that answers the informational need before the commercial pitch
- Consider whether a separate informational piece would serve both the informational searcher and funnel them toward the commercial page
The AI Overview Effect on Informational Keywords
This split has become more strategically important in 2025 because informational keywords are the ones most exposed to AI Overview click suppression. When an AI Overview appears for "how to do X," the clicks to organic results drop significantly. Commercial-intent queries — "best tool for X," "X pricing" — are less likely to trigger AI Overviews and retain more of their click value.
A content strategy that's heavily weighted toward informational queries is now more exposed to AI click loss than one weighted toward commercial/transactional queries. This is one of the clearest structural arguments for understanding your intent mix and adjusting where you invest in new content.
The intent classification work that used to be a nice-to-have for content strategy has become a prerequisite for making good decisions about where to focus in a search environment that's increasingly hostile to pure-informational content.