What makes for successful keyword research: part 1, getting started

This is part one of three. Part two covers choosing between your candidates. Part three covers the mistakes that waste the most time.

Keyword research decides where every subsequent hour of SEO effort goes. Get it wrong and you can execute flawlessly against the wrong target for a year, which is a genuinely expensive way to be diligent.

Intent beats volume, and it isn’t close

If you take one thing from this series, take this.

Two phrases can have identical search volumes and completely different commercial value, because the people typing them want different things.

Consider four searches:

• “what’s a heat pump” — someone learning. Months from buying, if ever.
• “heat pump vs gas ducted” — someone comparing. Getting closer.
• “heat pump installation cost adelaide” — someone pricing a job. Close.
• “heat pump installer near me” — someone ready to call. Now.

The last one probably has a fraction of the volume of the first. It’s worth vastly more.

Most keyword research goes wrong by sorting a spreadsheet by volume descending and starting at the top. That’s optimising for traffic, and traffic isn’t the product. Enquiries are.

Every keyword should be tagged by what the searcher wants: to learn, to compare, to find a specific site, or to buy. Then work backwards from the buying end.

Make actual time for it

This isn’t a task to squeeze into a Friday afternoon. Rushed keyword research produces the obvious terms, which are the terms every competitor also found in their own rushed Friday afternoon.

The valuable phrases are usually two layers down: specific, slightly awkward, lower volume, and far less contested.

Understand your niche before you research it

Before opening any tool, write down what actually makes your business different. Not marketing differentiation, real differentiation.

Do you handle jobs others turn down? Serve an area others don’t reach? Carry a certification most competitors lack? Have a genuine specialism?

Those differences are keyword opportunities, and they’re opportunities nobody else can copy easily, because they aren’t true for anybody else.

A mechanic who’s genuinely good with older European cars shouldn’t be fighting for “mechanic adelaide” against forty other workshops. There’s a much better search hiding in that specialism, with less competition and far higher intent.

Start specific, then widen

Counterintuitive but reliable: begin with the longest, most specific phrase you can imagine a real customer typing, then work outward.

Start with something like “family owned mechanic north adelaide european cars”. Almost nobody searches that exact string. That’s fine, because it’s a seed, not a target. Strip words off it one at a time and you generate a family of realistic variations, each of which you can then check for actual volume.

Starting broad and narrowing does the opposite: it anchors you on the head term, and everything after that is a compromise measured against a keyword you were never going to win.

Every page gets its own target

A common and costly error is treating keyword research as a site-level exercise. It’s a page-level one.

Each page should have one primary target and a small cluster of closely related variations. Two pages chasing the same phrase compete with each other, split their signals, and Google picks one, often not the one you’d have chosen.

Tools

The free ones go further than most people expect:

• Google Search Console is the most valuable and the most ignored. It shows what you already appear for, including terms you never targeted. Anything on page two here’s often the fastest available win.
• Google’s autocomplete, People Also Ask and related searches are the search engine telling you its own understanding of the topic, for free.
• Google Keyword Planner gives volumes, in broad buckets unless you’re spending on ads.
• Your own sales calls. Genuinely. The questions prospects ask you repeatedly are the questions they typed before calling.

Paid tools like Ahrefs and Semrush add competitor data and difficulty scoring, which matters at scale. They aren’t a prerequisite for doing this properly.

Next

Part two covers how to choose between candidates once you have a list, including how to assess whether you can realistically compete.