> ## Documentation Index
> Fetch the complete documentation index at: https://docs.vortexiq.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Query Intent Classification, Google Search Console

> Breaks your organic search queries down by the intent behind them for the selected period. How to read it, why it matters, and how to act on it.

**Card class:** [Non-Hero](/nerve-centre/overview#card-classes-explained)  •  **Category:** [Keyword Performance](/nerve-centre/connectors#connectors-by-type)

## At a glance

> **Query Intent Classification** groups the search queries your site appears for by the intent they signal (informational, navigational, commercial, transactional) and shows each group's share as a pie chart. It tells content and SEO teams what searchers actually want when they reach you, and whether your page mix matches that demand.

## What it tracks

The card takes the query strings from Google Search Console Search Analytics, classifies each by intent, and reports the share of each intent class. Source `detail`: *"Query Intent Classification, shown by share."* Intent is inferred from query language (question words and "how to" lean informational, brand and site names lean navigational, "buy", "price" and "discount" lean transactional, "best" and "vs" lean commercial-investigation). The split is a strategic mirror: a catalogue-heavy site that finds 70% of its query share is informational is attracting researchers, not buyers, and may need transactional landing pages or sharper product snippets. A healthy balance depends on your model, so read this share alongside [Question Queries](/nerve-centre/kpi-cards/google-search-console/question-queries), [Informational Queries](/nerve-centre/kpi-cards/google-search-console/informational-queries) and [Ranking by Intent](/nerve-centre/kpi-cards/google-search-console/ranking-by-intent) to see not just what intent you attract but how well you rank for each.

## Reconciling against the source

Google Search Console has no native intent dimension, so there is no like-for-like view to reconcile against. The closest check is to export the **Queries** table from **Performance on Search results** and eyeball the intent split yourself; remember the UI caps at 1,000 rows, anonymises rare queries, and lags 2 to 3 days, and that intent classification is a heuristic, so exact shares are directional rather than definitive.

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### Tracked live in Vortex IQ Nerve Centre

*Query Intent Classification* is one of hundreds of KPI pulses Vortex IQ tracks across Google Search Console and 70+ other ecommerce connectors. Nerve Centre runs the detection layer; Vortex Mind investigates the cause when something moves; Ask Viq lets you interrogate any number in plain English.

[Start for free](https://app.vortexiq.ai/login) or [book a demo](https://www.vortexiq.ai/contact-us) to see this metric running on your own data.
