Keyword Suggestion Tool

What Is a Keyword Suggestion Tool?

A keyword suggestion tool takes one broad seed term and expands it into a list of related keyword ideas you can use to plan content and campaigns. This particular tool does something more specific than most: it groups every suggestion by search intent, sorting your ideas into informational, commercial, transactional and local buckets so you can immediately see which page type each one belongs to. Enter "solar panels" and it separates "how do solar panels work" from "best solar panels" from "buy solar panels" from "solar panels near me", because those four phrases need four completely different pages.

Search intent is the reason behind a query, and matching it is now central to ranking. As Google and SEO educators such as Yoast explain, a page only ranks well when it gives searchers what they actually wanted. Someone typing "what is a heat pump" wants to learn, not to be sold to, while someone typing "buy heat pump" wants a product page. Informational queries make up roughly 70 per cent of all searches, but the commercial and transactional ones, though fewer, are where revenue lives. A keyword list that ignores intent leads to content that targets the wrong stage of the journey and converts poorly.

This tool is used by content strategists mapping a topic across the funnel, e-commerce teams deciding which keywords deserve a product page versus a blog post, and small business owners who want to understand the difference between traffic that browses and traffic that buys. It is a brainstorming aid built entirely in your browser. It does not report search volume or difficulty, because no free and terms-compliant source supplies that data reliably, so it focuses on what it can do honestly: organise ideas by the intent behind them.

The four intent categories also map neatly onto the stages of a buyer's journey, which is what makes the grouping more than an academic exercise. Informational searches sit at the awareness stage, where someone has a problem but not yet a solution in mind. Commercial searches sit at the consideration stage, where they are weighing named options against each other. Transactional searches sit at the decision stage, where the wallet is already out. Local and navigational searches often sit at the very end, where someone has decided what they want and simply needs the nearest or most convenient place to get it. A keyword plan that consciously covers all four stages guides a visitor from first curiosity to final purchase, rather than catching them at one point and losing them at the next.

How to Use the Keyword Suggestion Tool

1. Enter a seed keyword or topic. Start broad, with a short term such as "running shoes", "accounting software" or "wedding photography". A broad seed gives the intent modifiers more room to work.
2. Generate the suggestions. Click the button or press Enter. The tool instantly expands your seed and sorts the results into four intent groups, showing the total number of ideas.
3. Work through each intent tab. Move between Informational, Commercial, Transactional and Local. Each tab includes a short note on the page type that best serves that intent, so you know what to do with the ideas.
4. Match ideas to page types. Send informational ideas to your blog and FAQ plan, commercial ideas to comparison and review pages, transactional ideas to product and pricing pages, and local ideas to service or location pages.
5. Copy and validate. Use Copy all to export every grouped idea, then check the phrases that matter against real demand and the results already ranking before you commit to writing.

Because everything runs client-side, you can generate unlimited seeds with no sign-up and nothing leaving your device. A practical habit is to export each intent group into its own column in a content planner, so the informational, commercial, transactional and local ideas stay visually separated all the way through to the editorial calendar.

Why Use This Tool

Most keyword lists fail not because they are too short but because they mix intents together and then get treated as one undifferentiated pile. A writer hands a list of fifty keywords to a content team, and because nobody has sorted them, "what is a mortgage" and "best mortgage deals" end up targeted by the same generic page that serves neither well. Grouping by intent fixes this at the source. It turns a flat list into a plan, because each group maps cleanly to a stage of the buyer journey and to a specific type of page.

That structure is what makes the tool genuinely useful rather than just another idea generator. The informational group feeds your top-of-funnel content, the articles and FAQs that build authority and increasingly get cited by AI overviews. The commercial group feeds the middle of the funnel, the comparison and review pages that capture people weighing options. The transactional group feeds the bottom of the funnel, the product and pricing pages where money changes hands. The local group captures the near-me and location queries that drive footfall and enquiries for service businesses. Seeing all four at once reveals gaps: many sites discover they have plenty of informational content and almost nothing targeting the commercial and transactional terms that actually convert.

This makes the tool valuable to anyone planning content strategically rather than one article at a time. It pairs naturally with the other tools in this set: use the long tail keyword suggestion tool to drill into the specific phrasing within a group, and once you have written a page, run it through the keyword density checker to confirm the term is used naturally. Google's own helpful content guidance rewards pages that satisfy the intent behind a query, and sorting keywords by intent is the fastest way to make sure every page you plan does exactly that.

Real-World Use Cases

A content strategist mapping a topic across the funnel

A content strategist at a home improvement brand is building a content plan around "underfloor heating" and wants full funnel coverage rather than a pile of blog posts. She generates suggestions and instantly sees the split: informational ideas like "how does underfloor heating work" for the blog, commercial ideas like "best underfloor heating systems" for a comparison page, and transactional ideas like "underfloor heating cost" and "underfloor heating quote" for the sales pages. In ten minutes she has a structured plan that covers every stage, not just the easy top-of-funnel articles.

An e-commerce manager deciding page types

The manager of an online plant shop has a long keyword list but keeps targeting everything with blog posts, and conversions are weak. Running the seed "indoor plants" through the tool, he sees clearly that "buy indoor plants", "indoor plants for sale" and "indoor plants delivery" are transactional and deserve dedicated category and product pages, while "indoor plants for low light" is informational. Reassigning the transactional terms to commercial pages lifts the relevance of his shop in search and improves conversion.

A local service business finding buyer-ready terms

A self-employed plumber wants more jobs, not more blog readers. He seeds the tool with "boiler" and focuses on the Transactional and Local groups, which surface "boiler installation cost", "boiler repair near me" and "emergency boiler same day". These are the phrases of someone with a broken boiler ready to call someone, so he builds service pages targeting each one rather than writing general articles that attract browsers who never convert.

A SaaS marketer separating research from buying intent

A marketer at a project management software company is frustrated that high-traffic articles bring readers who never sign up. Using the seed "project management", she contrasts the Informational group ("what is project management") with the Commercial group ("best project management software", "project management software comparison"). She shifts budget towards creating strong commercial comparison pages, which attract visitors much closer to a buying decision, and the sign-up rate from organic search improves as a result.

A blogger planning a monetisable content cluster

A hobbyist running an espresso blog wants to start earning affiliate income but has only ever written informational guides. He seeds the tool with "espresso machine" and pays particular attention to the Commercial group, which returns "best espresso machine", "espresso machine reviews" and "espresso machine vs bean to cup". These are exactly the buyer-research phrases that affiliate content is built on. He plans a cluster of comparison and review posts around them, linking back to his existing guides, and for the first time his traffic includes people ready to act on a recommendation.

Common Mistakes and Troubleshooting

Targeting every keyword with the same page

Problem: The most damaging mistake is taking a mixed-intent keyword list and pointing it all at one page, which then satisfies no one. A page trying to both explain a product and sell it usually ranks for neither the informational nor the transactional query. Fix: Use the intent groups to assign each keyword to the page type that matches it. Informational terms get articles, transactional terms get product or pricing pages, and never the two combined. Keeping one page to one intent is the single clearest rule for turning a keyword list into pages that actually rank.

Ignoring commercial and transactional terms

Problem: Because informational keywords are the most numerous and the easiest to write for, many sites end up with mountains of blog content and almost nothing targeting the terms that actually convert. They attract traffic that never buys. Fix: Deliberately work the Commercial and Transactional tabs and build the comparison, review and product pages those terms need. Fewer of these keywords exist, but they carry far higher commercial value.

Misreading the intent of an ambiguous term

Problem: Some seeds are genuinely ambiguous. "Apple" could be a fruit or a technology brand, and a bare modifier will not resolve which one a searcher means. Fix: Add a qualifier to your seed to remove the ambiguity, such as "apple fruit" or "apple iphone", and always confirm the real intent by looking at the type of results Google already shows for the phrase before committing.

Treating the suggestions as confirmed demand

Problem: A suggestion tool produces plausible combinations, but plausible is not the same as searched, and some generated phrases will have little or no real search interest. Fix: Treat the grouped output as a shortlist to validate, not a finished plan. Check the phrases that matter against real demand signals before investing time in content for them.

Forgetting local intent for a local business

Problem: Service businesses often chase broad national terms and overlook the near-me and location queries that actually bring customers through the door. Fix: For any local business, give the Local and Navigational group real attention and adapt the suggested location to your own area. A page targeting "plumber near me" in your town usually wins more enquiries than one chasing a generic national keyword.