The 6 Types of Search Intent (Including the New Generative AI Intent)

Modern search intent classification identifies six distinct intent types. The traditional four types (informational, navigational, commercial investigation, transactional) remain core. The expansion in 2026 adds investigational intent and generative AI intent as distinct categories.

Per Mean CEO's search intent guide, the six-type classification provides more granular intent targeting for content strategy (https://blog.mean.ceo/startup-news-guide-to-6-types-of-search-intent-2026/). The granularity improves content format selection for each target keyword.

Per SE Ranking's search intent analysis, the six-type model reflects changes in search behavior driven by AI adoption and conversational query growth (https://seranking.com/blog/search-intent/). The traditional four-type model no longer captures the full range of user search behavior.

Informational intent describes users seeking knowledge. The queries use question words, how-to phrasing, and learning-focused language. Content targeting informational intent includes guides, tutorials, and educational articles.

Navigational intent describes users seeking a specific website or page. The queries include brand names, product names, or specific page references. Content targeting navigational intent includes homepage optimization, login pages, and direct content access.

Commercial investigation intent describes users researching products before purchase. The queries use comparison terms, evaluation language, and best-of patterns. Content includes reviews, comparisons, and buyer guides.

Transactional intent describes users ready to purchase. The queries use action words and specific product references. Content includes product pages, pricing information, and conversion paths.

Investigational intent describes users conducting deep research. The queries use depth indicators like "thorough", "comprehensive", and "deep dive". Content targeting investigational intent includes multi-source analysis, evidence-based articles, and research synthesis.

Generative AI intent describes users issuing queries optimized for AI assistant responses. The queries typically use complete sentences, contextual references, and conversational phrasing. Content targeting generative AI intent includes structured data, clear factual statements, and citation-rich content.

Per Mean CEO's analysis, the generative AI intent represents queries where users expect AI assistants to produce the answer rather than display search results. The intent aligns with AI Overview trigger queries and conversational AI usage.

The classification requires understanding each type's distinguishing features. The traditional four types use established classification criteria. The two new types require additional analysis.

The investigational classification requires identifying depth indicators. Keywords with research-focused modifiers typically indicate investigational intent. The classification may overlap with informational intent for keywords with research depth requirements.

The generative AI classification requires identifying conversational query patterns. Keywords with complete sentence structure, contextual references, and AI-friendly phrasing indicate generative AI intent. The classification helps prioritize content optimization for AI Overview inclusion.

You classify your target keyword list across the six intent types. You document the distribution of keywords across each type. You identify categories with weak or excessive keyword concentration.

You audit your existing content for six-type intent alignment. You compare each page's content format against the intent type of its target keywords. You document content updates for six-type alignment.

You track your ranking performance across the six intent types. You identify intent types where your rankings underperform. You document content investment priorities for underperforming intent categories.

Note the gap. This post synthesizes 2025 and 2026 data from three sources: Mean CEO's six-type intent guide, SE Ranking's search intent analysis, and Moz's intent classification guide (https://moz.com/learn/seo/search-intent). Two non-public six-type classification algorithm details remain undisclosed. Replication required.

Intent type decisions affect content targeting. Audit quarterly.