Searcher Intent: How to Read What People Actually Want From a Query
A strategic framework for understanding searcher intent. The classic taxonomy, the modern intent signals, how AI search has shifted what intent means, and how to reverse-engineer Google's intent interpretation from the SERP itself.
Search engine optimization eventually comes down to one question: what does the searcher actually want? Get the answer right and the rest of the work flows from there. Get it wrong and the most technically optimized page in the world won’t rank or convert.
This guide is about how to read intent. It covers the classic three-category taxonomy, the more nuanced framework that’s emerged since, the way AI Overviews and modern SERPs have shifted intent signals, and the practical method for reverse-engineering what Google thinks a query means.
The classic three-category framework
The foundational taxonomy that came out of academic information-retrieval research in the early 2000s.
Navigational queries are searches where the user knows the destination. They’re using search to get there, not to discover it.
- “RBC online banking”
- “Twitter login”
- “[Specific brand or product name]”
For most websites, navigational queries map to brand searches. The user already knows you, they’re just using Google as a navigation tool. Conversion intent is high, content depth requirements are low, and the homepage or specific landing page is the right destination.
Informational queries are knowledge-seeking searches. The user wants to learn something.
- “How to stack firewood”
- “What is keyword research”
- “What size wood stove do I need to heat my house”
Informational queries map to blog posts, guides, articles, and reference content. The user usually isn’t ready to convert on the first visit, but the right content earns the relationship and brings them back when they’re ready.
Transactional queries indicate purchase or action intent.
- “Buy wood stove online”
- “[Service] near me”
- “[Product] for sale [city]”
Transactional queries map to product pages, category pages, service pages, and location pages. Conversion intent is highest of the three categories.
This framework still works as a foundation. It’s just no longer sufficient on its own.
The more nuanced modern framework
The classic three-category framework misses several distinctions that matter in practice.
Commercial investigation is a fourth category that emerged in the 2010s and has become more important. Queries where the user is researching to buy, but isn’t ready to commit yet.
- “Best running shoes for flat feet”
- “Compare iPhone vs Pixel”
- “Top SEO agencies in Toronto”
Commercial investigation queries are top-of-funnel commercial intent. The user has decided they’re going to buy something, they’re now figuring out what. Content for these queries: comparison pages, “best of” lists, review content, buyer’s guides. The right destination is rarely a single product page; it’s content that helps the searcher narrow their consideration set.
Local intent is more of an overlay than a separate category. Any of the above can carry local intent, signaled by geographic modifiers, “near me” queries, or Google’s interpretation of the query as locally relevant. The local-pack results above traditional organic depend on local intent being detected.
Visual intent has grown with Google’s visual search expansion. Queries where the user is looking for images, videos, or visual product information. Image SEO and video content factor more heavily here.
Question-format intent (the rise of voice search and conversational queries) has shifted query patterns toward natural-language questions. “How do I get to” rather than “directions to,” “what time does X close” rather than “X hours.”
Intent signals you can read directly
Several signals in a query give you most of what you need to determine intent before doing any deeper analysis.
- Question words (“how,” “what,” “why,” “when”) signal informational intent.
- “Best,” “top,” “vs,” “review,” “compare” signal commercial investigation.
- “Buy,” “for sale,” “price,” “near me” signal transactional intent.
- Brand or specific product names signal navigational intent.
- Geographic modifiers signal local intent overlay.
- Year markers (“2026,” “this year”) signal current/recent intent and reward fresh content.
- Cost or pricing modifiers signal commercial intent (often investigation, sometimes transactional).
- Verb tense and specificity (“getting,” “starting,” “after”) signal where in the journey the user is.
These signals stack. A query like “best plumber in Halifax” combines commercial investigation, local intent, and a specific service category. A query like “how to fix a leaky toilet” combines informational intent with a specific problem.
How AI Overviews changed intent signals
The 2024 rollout of AI Overviews shifted how Google interprets and serves intent in several ways.
More queries are interpreted as informational. Even queries that look transactional sometimes return AI Overview answers, particularly research-oriented commercial queries. Google’s interpretation is that the user wants to understand the space before being routed to specific listings.
Direct-answer expectations have risen. Users have learned that a quick answer often appears at the top of the SERP, and they expect content (whether in the overview or the linked sources) to answer directly.
Comparison and decision content gets more weight. Commercial investigation queries that previously returned 10 organic results now often return AI-generated comparisons drawing from multiple sources. Content optimized to be cited in those comparisons (clear structure, distinctive information, schema markup) performs better.
Long-tail informational traffic has consolidated. A wider range of long-tail informational queries now return AI Overviews, which captures the answer above the organic results. The traffic for these queries has compressed.
For broader coverage of the AI Overview impact, see our Google AI Overviews and SGE guide.
The reverse-engineering method
The most reliable method for determining intent is letting Google tell you. Run the query and study the SERP.
What page types are ranking? If 9 of 10 results are blog posts, Google has decided the query is informational. Trying to rank a product page on it is fighting Google’s interpretation. If 7 of 10 results are product pages, the query is transactional. If results are mixed (some blog content, some commercial), the query has mixed intent and Google is showing both interpretations.
Are there SERP features? Featured snippets indicate Google sees the query as having a clear direct answer. Local pack results indicate local intent. Shopping results indicate transactional intent. Video results indicate visual or how-to preference. Knowledge panels indicate entity-focused queries. Each feature tells you something about how Google is parsing the query.
Is there an AI Overview? If yes, Google has decided the query is well-served by a synthesized answer, which usually means informational or research intent. The presence of an AI Overview also affects the click-through behavior on the underlying organic results.
What do the top-ranking pages have in common? Length, format, structure, on-page elements. The pattern across ranking pages tells you what Google rewards for that query.
What query refinements does Google suggest? “People also search for” and “Related searches” show you the conceptual neighborhood Google associates with your query. Useful for understanding intent and for finding related content opportunities.
This SERP-reading approach is more reliable than any framework-based intent classification because it tells you what Google currently thinks, which is what matters for ranking.
Mapping intent to page types
Once you’ve identified intent, the page-type mapping is straightforward.
| Intent | Best page type |
|---|---|
| Navigational (brand) | Homepage or specific landing page |
| Informational (definitional) | Reference page or guide hub |
| Informational (problem-solving) | Blog post or how-to article |
| Informational (research) | Long-form guide or comparison content |
| Commercial investigation | Comparison page, “best of” list, buyer’s guide |
| Transactional (product) | Product page |
| Transactional (service) | Service page |
| Transactional (local) | Location page or service-area page |
The trap to avoid: mapping a transactional keyword to a blog post because the blog post has more content depth. The keyword targets transactional intent, which means a transactional page should rank for it, not an informational one. Better content can’t override page-type mismatch.
For the full mapping process, see our keyword mapping guide.
Intent shifts over time
Intent for a given query is not static. Google’s interpretation can shift as user behavior changes, new SERP features roll out, or events change the meaning of a query.
A few examples of intent that has shifted in recent years:
- “Coronavirus” went from a niche scientific term to dominant news/health intent in 2020, then drifted back toward informational/historical intent.
- “Remote work” shifted from informational and commercial-investigation toward more transactional intent (job listings, tool product pages) as the category matured.
- “AI” itself has shifted intent multiple times as the technology and conversation around it evolves.
Periodic review of intent for the queries you care about is part of keeping a campaign current. A page that mapped correctly to a query in 2023 may be misaligned by 2026.
How we apply intent analysis at SEO Brothers
Intent reading is part of every campaign we run. The first pass during keyword mapping uses the SERP-reverse-engineering approach to determine page types for each target keyword. The mapping document records the intent classification for each keyword alongside the assigned page, which makes future audits easier.
Quarterly review checks for intent shifts on the priority keywords. Where Google’s interpretation has changed, we adjust the page or the targeting accordingly.
For partner agencies running campaigns through us, intent analysis is part of the standard deliverable. The mapping document includes the classification, and the strategic recommendations reflect any intent shifts identified during quarterly review.
If you’re trying to figure out whether your existing pages match the intent of the queries you’re targeting, book a call and we’ll walk through the SERP analysis with you.