Read search intent off the SERP, not off the keyword
Search intent is the goal behind a query: what a person actually wants when they type it into Google. The fastest way to read it is not parsing the words, it is looking at what Google already ranks. Open an incognito tab, search your target term, and study the top 10. If every result is a step-by-step guide, Google has decided the intent is informational, and a product page will not rank there no matter how good your product is. The live results are Google's own verdict, refined across billions of queries, and that verdict beats any guess you make from the phrasing.
This matters because content that mismatches intent does not rank, however well written. A sharp sales page aimed at a query that returns ten tutorials is invisible. Reading intent correctly is the cheapest ranking lever most sites skip, and it sits at the front of any serious keyword research process.
The four classic types of search intent
The standard model splits queries into four buckets. Google's own Search Quality Rater Guidelines use a parallel vocabulary — Know, Do, Website, Visit-in-person — which is where this framework gets its authority. The two line up cleanly:
| Type | Rater term | What the searcher wants | Example query |
|---|---|---|---|
| Informational | Know | Facts, an explanation, how-to | "what is search intent" |
| Navigational | Website | A specific site or page | "gmail login" |
| Commercial | Know (comparison) | To compare before buying | "best crm for small business" |
| Transactional | Do / Visit-in-person | To act, buy, or go somewhere | "buy running shoes online" |
The line between commercial and transactional matters most for revenue. Commercial-investigation queries ("best", "vs", "review", "top") want comparison content: listicles, tables, buyer's guides. Transactional queries ("buy", "price", "near me", "book") want a page where the action happens. Confuse the two and you build a category page for a query that wanted a comparison, or the reverse. If you are targeting money terms, sort them first; our guide to buyer intent keywords covers how to spot and prioritise them.
Why most sites over-invest in transactional pages
The large majority of searches are informational. A widely cited Penn State study led by Jim Jansen, which classified over 1.5 million real queries, found roughly 80% informational, with navigational and transactional splitting the remaining 20% (Search Engine Land's report on the study). More recent large-scale classifications land lower, in the 55-60% range, but the pattern holds: informational demand dwarfs the rest.
Yet most small sites pour effort into product and pricing pages and publish little genuinely useful informational content. That is backwards. You end up competing hardest for the smallest slice of demand while ignoring the majority where you could build authority, earn links, and enter the buyer's consideration set early. Google's own creating helpful content guidance rewards exactly the useful, people-first informational content those sites neglect.
The fix is not to abandon money pages. It is to match your page inventory to the real shape of demand. Run a proper keyword pull, split by intent, and you will usually find you are under-built on informational terms. Our walkthrough on how to do keyword research shows the full process; DeployFlare's keyword research tool tags terms by intent so you see the split at a glance instead of hand-sorting a spreadsheet.
How to identify search intent in practice
Skip the guesswork. Do this for any target term:
- Search it in incognito, with location set to where your audience actually is. Intent shifts by region: "solicitor" returns different formats in London than in a smaller town, and a Mumbai grocery query looks nothing like a Delhi one.
- Read the format of the top 10. Guides, product pages, comparison listicles, tools, or videos? The dominant format is the intent.
- Note the SERP features. A featured snippet or People Also Ask box signals informational. A shopping carousel or local pack signals transactional or visit-in-person.
- Check the page type, not just titles. Ten homepages means navigational. Ten blog posts means informational.
- Look for mixed signals (below) before you commit to a single format.
Do this across a cluster and patterns emerge fast. Group terms that share a format onto one page rather than splitting them; keyword mapping assigns each intent cluster to the right URL so you do not cannibalise yourself.
Intent is not fixed, and it is not binary
Two things break the tidy four-box model, and ignoring them costs rankings.
First, intent drifts. A query's dominant intent changes as products, seasons, and news move. "Best phone" leans informational most of the year and turns sharply transactional around a major launch. Seasonal terms swing hardest; plan for it with seasonal keyword research rather than assuming last quarter's SERP still holds.
Second, Google increasingly serves mixed-intent SERPs. Search "protein powder" and you often see a how-to result, a comparison listicle, a shopping carousel, and a local option on one page. Google is hedging because it cannot tell which intent you had. That is an opportunity: on a mixed SERP you can rank an informational page even for a commercially tinted query, because Google has reserved a slot for that format. Reading the mix tells you which format still has an open slot to compete for. This is also where keyword clustering helps, since a mixed SERP often means one page can legitimately serve several related intents.
The emerging generative and AI intent bucket
A fifth bucket is forming that the classic model does not cover. Some searchers no longer want a link at all; they want a synthesised answer. AI Overviews, chat-style search, and answer engines increasingly satisfy these generative-intent queries on the results page itself, with no click. Google's own AI Overviews and AI Mode documentation confirms these features now draw from and link to web content, and Search Engine Land's breakdown of intent beyond the four types tracks how the model is expanding.
Practically, informational content now competes on two fronts: ranking the traditional link, and being the source a generative answer quotes. Clear structure, direct answers near the top, and factual precision help on both. If a term's SERP is dominated by an AI Overview, expect fewer clicks; weight effort toward terms where a click still happens, or toward being the cited source. Tracking how often you appear in these answers is exactly what AI visibility monitoring is for.
Match difficulty to intent before you commit
Reading intent tells you what to build. It does not tell you whether you can win. A low-difficulty informational term with a weak top 10 is a fast win; a transactional term guarded by ten established brands is a multi-year fight. Read the two together — keyword difficulty alongside intent — and you will pick battles you can actually win. Studying who occupies the SERP now, via competitor keyword analysis, often reveals intent gaps: a query where every result is a thin product page and nobody has published the definitive guide the searchers clearly want.
A short worked example
Take "email marketing software". Search it and the top results are comparison listicles and category pages with pricing, so commercial and transactional, not informational. A 3,000-word explainer titled "what is email marketing software" will struggle here, because Google is not ranking explainers for this term.
Now take "how to write a welcome email". The top 10 are step-by-step guides with example templates. This is pure informational intent. A product page will never rank; a genuinely useful guide with copy-paste examples can. Same broad topic, opposite intents, opposite content. Reading the SERP tells you which to build before you write a word, and pairing that read with long-tail keywords usually surfaces the specific, low-competition informational phrasings worth targeting first.
Get intent right and everything downstream — content format, page type, internal links, difficulty assessment — falls into place. Get it wrong and even excellent content sits on page five. Start every target term by reading the results Google already trusts.