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Demand Intelligence · Deep Dive

Search Intent Mapping.

Intent is not problem-solution-comparison. It's the relationship between a user's entity and the content that resolves it.

What is it?

Search Intent Mapping, defined.

Search Intent Mapping is the automated classification of search queries into four intent categories (informational, commercial investigation, transactional, navigational) using Claude Sonnet 4 with a structured prompt grounded in the semantic-seo-claude-skill framework — enabling content strategy that differentiates structure, length, and CTA by intent rather than by keyword. Each classification includes a 0-1 confidence score for filtering ambiguous queries.

Entity-oriented search research reframes intent: it's not 'problem-solution-comparison' but the semantic relationship between a user's resolved entity and the content that satisfies it. Patnick classifies every query into four intent categories via Claude — informational, commercial, transactional, navigational — so your topical strategy can differentiate content structure by intent rather than by keyword.

Why it matters

Four concrete outcomes.

AI-classified

Claude reads each query and infers intent from context, linguistic markers, and user behavior patterns.

Confidence score

Every classification includes a 0-1 confidence score so you can filter out ambiguous queries.

Dashboard filter

Slice your visibility data by intent type to see where you win and where you lose per category.

Drives content strategy

Informational queries need articles. Transactional queries need landing pages. Patnick tells you which is which.

How it works

The 4-step process.

  1. 01

    Analyze query text

    Linguistic markers: 'how to', 'best', 'near me', 'buy', 'vs' → signal different intents.

  2. 02

    LLM classification

    Claude classifies with confidence score. 4-class output: informational | navigational | commercial | transactional.

  3. 03

    Store + index

    intent + confidence saved to query_universe row. Dashboard filter uses it immediately.

  4. 04

    Refresh on edit

    If you modify a competitor list or add GSC data, intents are recomputed for new queries only.

Inside Patnick

See it in the dashboard.

This is how search intent mapping surfaces inside the real Patnick dashboard. Enter the your audit to click through it.

patnick.com/dashboard

142

Informational

89

Commercial

54

Transactional

23

Navigational

Explore more

Related capabilities in Demand Intelligence.

Google Search Console Integration

Historical engagement data is a first-party signal you can't fake. Your GSC already has it — Patnick just connects the wiring.

Read→

Google Trends Signals

Contextual search is real search. Momentum is the signal that says 'this query is about to matter'.

Read→

Keyword Volume

Volume matters, but only as one input. The 30-website lexical study proves that semantic variation carries most of the real demand.

Read→
People also ask

Frequently asked questions.

What are the four search intent types?
Informational: user wants to learn something ('how does AI visibility work'). Navigational: user wants a specific site ('patnick login'). Commercial investigation: user is comparing options before buying ('best AI SEO tool 2026'). Transactional: user wants to buy or take action ('patnick pricing'). Different intents need different SEO strategies.
Why does intent matter?
Because the same query can mean very different things. 'Patnick' is navigational if the user already knows your brand, but informational if they're discovering you. SEO strategy differs: navigational queries need a sharp homepage, informational queries need content articles, transactional queries need conversion-optimized landing pages. Mixing them is a common SEO mistake.
How accurate is LLM-based intent classification?
Claude Sonnet 4 achieves ~92% agreement with human experts on intent classification benchmarks. The remaining 8% are genuinely ambiguous queries where even humans disagree. Patnick surfaces confidence scores so you can manually review low-confidence classifications.
Can a query have multiple intents?
Technically yes, but Patnick picks the dominant intent for classification simplicity. Mixed-intent queries (e.g., 'buy vs rent AI SEO tool') are labeled as commercial investigation. If you need multi-intent handling for specific edge cases, contact us.
How often does intent classification run?
Once per new query. Once a query has been classified, the result is cached permanently — intents don't drift over time. If you want to re-classify after a Claude model upgrade, there's a manual refresh button in the admin panel.
Does intent affect the Demand score?
Indirectly. Commercial and transactional intents typically have higher CPC in Google Ads, which feeds the Saturation dimension. Informational intents have lower competition, which boosts Demand when paired with volume. The intent metadata is one of many inputs the scoring engine uses.

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