Type "commercial real estate photographer near me" into Google and you will pull up a map pack, three local businesses, and a booking page. Type "what does a commercial real estate photographer do" and you get an explainer article. Same words. Two completely different jobs. If you build the wrong page for the wrong intent, you can rank #1 and still convert nobody.
That single distinction has earned me more money than any backlink strategy I have ever run. It has also cost me. In one of my early projects, I wrote a 3,500-word comparison guide targeting a keyword that turned out to be overwhelmingly transactional. It ranked in the top three positions for eleven months and produced almost no revenue. The traffic looked fine. The intent was wrong. I had optimised for visits, not for the visitors' actual purpose.
This is what I mean by keyword intent types, and why the taxonomy matters more in 2026 than it did five years ago. Google is now matching meaning, not just strings, and AI answers are intercepting a growing share of queries before a human ever clicks a result. Understanding intent has stopped being an SEO nicety and become the foundation of every content and PPC decision you make.
Key Takeaways
- Search intent is the underlying goal behind a query, not the literal words in it.
- The four core types are informational, navigational, commercial, and transactional — but a fifth, generative intent, is now shaping how people search.
- Mismatch between your page and the query's intent is the most common reason good content fails to convert.
- You can classify intent manually by reading the live SERP, which is still the cheapest and most accurate method available.
- Commercial intent is the most valuable type for most businesses because it sits closest to a purchase decision.
- Keyword modifiers — "best", "near me", "vs", "buy" — are the fastest signal of what a searcher actually wants.
What is search intent, and why does it decide whether you rank at all?
Search intent is the reason a person types a query. It is the job they want done, the question they need answered, or the thing they are ready to buy. Google's ranking systems have spent years getting better at inferring this, which is why two pages with identical keyword targeting can rank wildly differently depending on how well they match the underlying goal.
Here is the part most people miss: intent is not inferred from the keyword alone. It is inferred from the entire results page Google has already assembled for that keyword. The SERP is the answer key. If the top results for your target term are all listicles, that tells you Google believes the query is informational — and no amount of product-page optimisation will change that belief.
Why intent drives rankings more than keyword density
Imagine two pages targeting "project management software". Page one is a pricing page with a sign-up button. Page two is a comparison of seven tools with a feature table. For the query as written, Google will almost always favour the comparison, because the searcher is still evaluating. They have not chosen a vendor yet. The pricing page wins only when the query shifts to something like "project management software pricing" or "buy project management software".
I learned this the expensive way. A client in the B2B SaaS space had a beautiful, fast, well-optimised homepage ranking for an informational query. Traffic was strong. Demo requests were flat. We moved the same content onto a dedicated comparison page, built a separate evaluation-stage article, and pointed the homepage at brand queries instead. Demo requests roughly doubled over the following quarter, with no change in total organic sessions. The traffic did not improve. The match did.
The difference between intent and the keyword itself
A keyword is a string. Intent is a motive. "Apple" could mean the fruit, the company, the record label, or a phone repair shop. The same nine letters, four completely different jobs. This is precisely why semantic search replaced pure keyword matching. Google now reads context, history, location, and the collective behaviour of everyone who typed the same thing before you.
If you take one thing from this section, it is this: stop asking "what keyword do I want to rank for" and start asking "what does this person need the moment they hit enter".
The 4 types of search intent, with examples you'll actually recognise
The canonical taxonomy has four categories. Every serious keyword tool organises data around them, and every content strategy should too. Here they are, with the kind of queries you would genuinely see in a client account rather than textbook abstractions.
| Intent type | What the searcher wants | Example query | Content that wins |
|---|---|---|---|
| Informational | An answer or explanation | "how does search intent work" | Guides, explainers, tutorials |
| Navigational | To reach a specific site or page | "Ahrefs login" | Your homepage or login page |
| Commercial | To compare before deciding | "best CRM for small business" | Comparisons, reviews, listicles |
| Transactional | To complete a purchase or action | "buy HubSpot Starter" | Pricing, product, checkout pages |
Informational intent
The searcher wants to learn. These queries usually start with who, what, when, why, or how, and they are the easiest to write for and the hardest to monetise directly. Informational content builds trust and captures email addresses. It rarely closes a sale on the first visit.
Navigational intent
The searcher already knows where they want to go. They just want the fastest route. If someone types your brand name plus "pricing", they are not browsing — they are looking for a specific page on your site. Your job is simply not to get in the way.
Commercial intent
This is where most marketing budgets should live. The searcher is researching with a purchase on the horizon. They compare features, weigh prices, read reviews. Commercial intent keywords are the ones that convert at a genuinely different rate than informational traffic, because the person on the other end has already decided to spend money somewhere. They are just choosing where.
Some examples, if you want them concrete: "best email marketing tool for ecommerce", "Notion vs Asana", "Semrush review", "cheapest logo design service". Notice that none of these contain a "buy" imperative, and yet all of them sit one click away from a transaction. That is the whole point of commercial intent — it is a decision being made in slow motion.
Transactional intent
The decision is made. The wallet is open. Words like "buy", "price", "discount", "coupon", "download", and "subscribe" flag this category. Landing pages, not blog posts, win here. If you are running paid search, transactional keywords are where your spend belongs.
Are there really only 4 types? No — here is the extended list
I used to teach the four-type model as gospel. Then I watched a whole category of queries emerge that none of the four fit cleanly. Here is the honest, workable taxonomy I use now.
- Local intent — "coffee shop near me", "emergency plumber in Austin". The searcher wants something in the physical world, right now, within driving distance.
- Pre-purchase research — often folded into commercial, but distinct: the person is close to buying and looking for a final reason to say yes or no.
- Post-purchase intent — "how to reset my Ring doorbell". Support content. It does not need to sell, and trying to sell on it just annoys the person who already paid you.
- Generative intent — the newest category, and the one most marketers are still ignoring. The searcher does not want a list of ten links. They want a direct, synthesised answer inside ChatGPT, Perplexity, or Google's AI results. Your job shifts from ranking a page to being the source the model cites.
The generative intent shift in 2026
When someone asks an AI assistant "which project management tool is best for a team of five", there is no click. There is an answer, and that answer either mentions you or it does not. Optimising for this means writing in clear, extractable, factual statements, answering the exact question in the first sentence, and structuring your content so a model can lift a clean answer without guesswork.
Spoiler: the content that performs well here is the same content that performs well for featured snippets. The overlap is not a coincidence. Both reward directness over padding.
How do you actually classify a keyword's intent?
The cheapest and most reliable method is still manual. Open an incognito window, search the term, and read the top ten results. Here is the process I run for every keyword before it goes into a content plan.
- Look at the page types that rank. All guides? Informational. All product or pricing pages? Transactional. Mixed? You are probably looking at a commercial query with a broad SERP.
- Note the SERP features. Shopping results, map packs, and "buy" carousels tilt toward transactional or local. Featured snippets and knowledge panels tilt informational.
- Read the query's own clues. Modifiers like "best", "vs", and "review" signal commercial. "Buy", "coupon", and "cheap" signal transactional. Question words signal informational.
- Check your own data. In Google Keyword Planner and Search Console, look at what pages already rank for the term on your site. If an old blog post is surfacing for a query you thought was transactional, Google is telling you something.
- Cross-check with competitor PPC. If advertisers are spending on a term, its commercial value is usually real.
One caveat from painful experience: do this check on a fresh, logged-out browser. Your own search history and location will quietly personalise the results and give you a false reading. I once misclassified a whole cluster because my logged-in session was serving me local results for a term that was actually broad informational. Two weeks of wasted writing.
What about mixed intent?
Many queries carry more than one intent at once. "SEO tools" could be informational (what are they), commercial (which is best), or navigational (I want a specific brand's tool page). Google resolves this by filling the SERP with a bit of everything. Your move is to pick the dominant intent and win that, rather than hedging and pleasing nobody.
Turning intent types into a content plan that converts
Once you have classified your keywords, the whole strategy rearranges itself. Informational keywords feed the top of the funnel. Commercial keywords carry the evaluation stage. Transactional keywords close. Build one page per intent stage, and stop asking a single page to do four jobs at once.
Here is the rule I now enforce on every project: if a page is trying to both educate and sell, it is probably doing neither well. Split it.
How does commercial intent differ from transactional intent in practice?
Commercial intent means the searcher is still comparing options and has not committed. Transactional intent means they are ready to act now. A "best CRM" query is commercial; a "buy Salesforce Starter" query is transactional. The content that ranks and converts for each is completely different.
Can one keyword have more than one intent type?
Yes, and it is common. Broad terms like "SEO tools" often carry informational, commercial, and navigational intent at once. The SERP will reflect this mix. Your job is to identify the dominant intent and build for that rather than trying to satisfy every searcher simultaneously.
Is local search intent a fifth type?
Many practitioners treat local as a distinct type, and I think that is fair. Queries with "near me", a city name, or an implicit need for a physical location behave differently from the other four — they have a geographic constraint that a standard taxonomy ignores.
Intent is not a box you tick once and forget. It shifts as language shifts, as AI assistants reshape how people ask questions, and as your own market matures. The marketers who keep winning are the ones who re-read the SERP every few months instead of trusting a keyword list they built two years ago. The next query your customer types will tell you what they want. The only question is whether your page is built to answer it — or just built to be found.
