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What is search intent?

Quick Definition

Search intent is what a user actually wants when they run a query. The four canonical types are informational (learn something), navigational (find a specific site), commercial (compare options before buying), and transactional (buy or convert now). Matching content to intent is one of the strongest signals affecting both traditional SEO ranking and AI engine citation — possibly the strongest single signal after content quality itself.

The four intent types, in detail

Informational queries are users trying to learn something. "How does affiliate marketing work." "What is EPC." "Why are cookies blocked on Safari." The user wants an explanation, not a recommendation. Pages that match informational intent: tutorials, glossary entries, explainers, FAQ pages, how-to guides. The user isn't ready to buy anything; pushing affiliate links into informational content converts poorly and hurts the page's intent score.

Navigational queries are users trying to reach a specific destination. "ConvertKit login." "AffBuddy glossary." "Pinterest analytics dashboard." The user already knows where they want to go. Affiliate content rarely wins navigational queries because the brand itself ranks #1; chasing these is wasted effort.

Commercial queries are the heart of affiliate marketing. "Best email marketing tool for solopreneurs." "ConvertKit vs Mailchimp." "Is Pinterest Business worth it." The user has decided to buy something (or do something) but hasn't decided what. They're comparing options. Pages that match commercial intent: "best of" lists, comparison reviews, head-to-head articles, real-experience reviews. This is the intent type where affiliate content earns most of its commissions.

Transactional queries are users ready to convert. "ConvertKit signup." "Buy ConvertKit annual plan." "ConvertKit free trial." The user has decided what to buy and is ready to act. Transactional queries pay well per visitor but are dominated by the brand or merchant — affiliates rarely outrank them. Don't optimize affiliate content for transactional queries; the math doesn't work.

How to identify the intent of a query

The easiest method is also the most reliable: look at the SERP. Google's top 10 results for a query are Google's answer to "what does the user want." If they're mostly tutorials, intent is informational. If they're "best of" pages, intent is commercial. If they're brand pages, intent is navigational. Match the dominant content type and you match the intent.

A few cleaner signals that often confirm intent:

  • Query length and modifiers. Short queries ("affiliate marketing") tend to be informational. Modifier words ("best", "vs", "review") signal commercial. Action verbs ("buy", "signup", "download") signal transactional. Brand names alone or with site names signal navigational.
  • Featured snippets and AI Overview. Google triggers these more often for informational and commercial queries; their presence usually confirms the intent type.
  • Ad density. Heavy paid-ad presence usually signals commercial or transactional intent (advertisers bid on those).
  • The "people also ask" panel. The questions there reveal the broader query family — they're usually consistent with the intent.

Why intent match matters more than ever

Traditional Google rewards intent-matched content. AI engines (ChatGPT, Perplexity, AI Overview) reward it even more heavily. The reason: an AI engine's output is constrained — it has to give a single synthesized answer, not ten possibilities. If the user query is commercial ("best X for Y"), the engine wants to extract a recommendation. A page that buries the recommendation behind three paragraphs of background gets its background extracted, not its recommendation. Your competitor's cleaner page gets the citation.

Concrete example. User searches "best email marketing tool for solopreneurs". Two candidate pages:

  1. Page A opens: "Email marketing has changed dramatically in the last decade. Before we get into the best tools, let's understand what email marketing actually does for a solo business..."
  2. Page B opens: "For solopreneurs, our top pick is ConvertKit. It's the most affordable plan that includes automation, a clean creator-focused UI, and the most generous free tier in the category. Here's why we rank it above Mailchimp, MailerLite, and ActiveCampaign..."

An AI engine answering the user's query lifts cleanly from Page B and cites it. From Page A it extracts a definition of email marketing — useful background, but it goes in a different part of the answer and isn't credited as the recommendation. Page A might rank higher on Google. Page B wins the citation and the commerce.

Intent-matching for AI citation specifically

If you write content for commercial-intent queries, three structural moves dominate:

  • Lead with the recommendation. The first paragraph should state which option you recommend and why. Explanatory context goes after, not before.
  • Use H2s that pose the user's actual sub-questions. "Is ConvertKit worth it for solopreneurs?" beats "ConvertKit pricing analysis." AI engines extract better from question-shaped headings.
  • Include FAQ schema with intent-matched answers. Each Q/A becomes a directly-extractable claim. Make sure the FAQ questions match the commercial framing of the query family — not generic "What is X" questions for a commercial page.

The full set of structural moves lives in the GEO playbook.

Frequently asked questions

What are the four types of search intent?

Informational (the user wants to learn something), navigational (the user wants to reach a specific site), commercial (the user is comparing options before buying), and transactional (the user is ready to convert). Each type expects a different kind of content — and search engines + AI engines heavily penalize content that doesn't match the dominant intent for a query.

How do I figure out the intent of a query?

Look at the SERP. If Google's top 10 are mostly tutorials and how-to articles, the intent is informational. If they're brand pages, intent is navigational. If they're "best of" and comparison pages, intent is commercial. If they're product pages, signup forms, or vendor sites, intent is transactional. The SERP is Google's answer to "what does this user want" — match it.

Why does intent match matter more for AI engines?

AI engines are even less forgiving of intent mismatch than Google is. If the query is commercial ("best X for Y") but the page leads with three explanatory paragraphs, the engine extracts the explanation and skips the recommendation — your content gets cited as background, not as the buying answer. AI engines reward pages that lead with the answer the query type expects.

What's the most valuable intent type for affiliates?

Commercial intent — "best X for Y", "X vs Y", "X review". These queries come from users who have already decided to buy something but haven't decided what. They convert at high rates and earn affiliate commissions. Transactional queries pay better per visitor but are dominated by the brand or merchant sites themselves; affiliates rarely outrank them.

Related terms

GEO

Where intent-match decides citation

Featured Snippet

Intent-driven SERP feature

AI Overview

Intent shapes when it triggers

Bridge Page

Commercial-intent landing structure

Put it to work

Match content to the intent the engine expects.

The GEO playbook covers the structural moves that earn citations — lead with the answer, use questions as headings, FAQ schema everywhere.

Read the GEO Playbook Content Formats Playbook