Keyword targeting – from keyword research to on-page optimisation

Definition

Keyword targeting is the process of identifying relevant keywords and then adapting a page's content, headings and metadata to match the searcher's intent – so that search engines rank the page higher for the right queries.

Keyword targeting vs SEO – what is the difference?

SEO is the discipline as a whole: technical structure, content strategy, backlinks and authority. Keyword targeting is a specific part of on-page SEO – the process of choosing the right keywords and then adapting the page's content, headings and metadata to match the searcher's intent in a way search engines reward.

An analogy: SEO is the whole engine. Keyword targeting is the fuel you choose and how you make sure it burns efficiently. You can have a technically perfect website and strong backlinks – but if you target the wrong keywords, or optimise for the right words in the wrong way, you will never reach the right audience.

What does keyword targeting involve?

Keyword targeting falls into two phases: keyword research (finding the right keywords) and on-page optimisation (applying them correctly).

Keyword research means identifying which terms and phrases your audience actually searches for – weighing up search volume, competition (keyword difficulty) and search intent. High volume is not enough if the keyword attracts the wrong visitors or if the competition is too tough for your website's current authority, content quality and topical authority.

On-page optimisation then means placing the chosen keywords strategically on the page: in the title tag, the H1, the H2 headings, the introduction and naturally in the body text – without it feeling forced or repetitive.

Keyword research – how do you choose the right keywords?

Three factors mainly decide whether a keyword is worth prioritising:

• Search volume – How many people search for the term each month? A term with no volume drives no traffic, however well you rank. Bear in mind, though, that some niche questions show no measurable search volume at all. That does not mean nobody searches for them, and they can carry extremely high buying intent. So search volume should not be the only thing guiding your choice of terms – complement it with analysis of the market and of the questions customers ask Google or AI when they are close to a buying decision. That is where you want your answer to show up.
• Keyword difficulty (KD) – How strong is the competition? A new website can often rank for long-tail keywords with lower competition, while broad head terms require high domain authority.
• Search intent – What does the person actually want to do? Someone who searches "what is SEO" is looking for information; someone who searches "SEO agency Stockholm" is ready to buy. A mismatch brings traffic without conversions. That does not mean ranking for informational searches is a waste of time – topical authority is one reason – but judging the value of your SEO investment by rankings for informational queries is a mistake.

Tools such as Ahrefs and Semrush provide data on all three and are standard tools in professional keyword research.

Long-tail vs head terms

Head terms are short, broad keywords with high volume and high competition – for example "SEO" or "web design". Long-tail keywords are longer phrases with lower volume but clearer intent – for example "webflow agency stockholm" or "how much does a website cost 2026".

For most websites, a mix of long-tail and mid-tail keywords gives the best return: long-tail terms convert better and are easier to rank for early on, while head terms come gradually as domain authority grows.

How do you optimise an existing page?

Keyword targeting is not just about new pages. Existing pages can often be improved significantly with little effort:

• Review the title tag and H1 – Do they contain the primary keyword, and do they reflect the searcher's intent?
• Analyse GSC data – Which search terms already drive traffic? Are there terms you rank for in positions 8–15 that could climb to the top 3 with a little optimisation?
• Improve the match with search intent – If the page ranks but does not convert, it is often because the content does not answer what the visitor was actually looking for.
• Add semantically related terms – Search engines understand context. An article about keyword targeting should naturally contain terms such as search intent, long tail, keyword difficulty and on-page SEO.

Keyword targeting and AEO

Keyword targeting has traditionally meant ranking in Google's blue-link results. As AI answer interfaces – Google AI Overviews, ChatGPT, Perplexity – take up more and more of the search landscape, the logic widens: ranking is not enough, you also have to be cited. AEO (Answer Engine Optimization) is built on the same foundation as keyword targeting – the right keywords, the right search intent, well-structured content – but puts extra weight on semantic chunking, clear direct answers and structured data. In other words, keyword targeting is still the foundation – but the strategy needs to be adapted to work in an AI-driven search landscape.