Keyword research: methodology from zero to strategy

Keyword research is the process of discovering, analysing, and prioritising the search queries your target audience types into Google. It determines which pages to create, how to structure them, and which terms can realistically drive organic traffic.

A common mistake: creating content first, then 'finding keywords' to match it. The right order is the opposite. Keyword research comes before content creation and shapes its architecture.

Why keyword research matters

Without keyword research, SEO becomes guesswork. You might write an excellent article on a topic nobody searches for (zero demand), or target a competitive query dominated by sites with Domain Rating 90+ (impossible competition).

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Search intent

Intent is the purpose behind a query. It matters more than the query text itself. If you build an article targeting a commercial query, or a service page targeting an informational one — Google won't rank you highly, even with perfect optimisation.

The fastest way to identify intent: type the query into Google and look at the top 10. If you see articles — the intent is informational. Service pages — commercial. Online stores — transactional. Google has already decided which content type best answers the query.

Key metrics

Three core metrics for evaluating keywords: volume (Search Volume), difficulty (Keyword Difficulty), and Traffic Potential. Each matters in the context of the others.

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Collecting seed keywords

Seed keywords are the starting words and phrases around which the entire research is built. They reflect the core topics, products, and problems of your business.

Sources of seed keywords

Expanding your keyword list

After collecting seed keywords, you need to expand the list into a complete keyword map. Several methods help with this.

Method 1: Keywords Explorer

Enter a seed keyword into Ahrefs Keywords Explorer or Semrush. Use filters: 'Phrase match' (queries containing the word), 'Related terms' (semantically close), 'Questions' (interrogative forms). Export everything into a spreadsheet.

Method 2: competitor analysis

In Ahrefs: Site Explorer → enter a competitor's URL → Organic Keywords. You see all queries the competitor ranks for. Filter by positions 1–10 and high traffic. This is a ready-made list of queries with proven potential.

# Competitor analysis algorithm in Ahrefs
1. Site Explorer → competitor URL
2. Organic Keywords → filter: Position 1-20, Volume > 100
3. Export to CSV
4. Remove competitor's brand queries
5. Find overlaps with your seed keywords
6. Identify queries where competitor ranks but you don't

Method 3: Content Gap

In Ahrefs: Site Explorer → Content Gap. Enter 3–5 competitors and your domain. The tool shows queries competitors rank for that you don't. These are direct growth opportunities.

Long-tail keywords

Long-tail keywords are queries of 3+ words with lower volume but also lower competition. They account for around 70% of all search traffic and convert better because they more precisely reflect user intent.

Strategy: start with long-tail queries — they are achievable for a new site. As your domain authority grows, move toward more competitive mid-tail and head terms. This is the classic 'bottom-up' strategy.

Clustering

Clustering is grouping queries with the same intent under one page. A single page should not cover queries with different intents — create separate pages for each cluster.

Simple rule: if the top-10 Google results for two queries overlap by 60%+, the queries belong to one cluster and should be targeted by one page. If the top 10 diverges — you need separate pages.

Clustering example

Prioritisation and sequencing

After clustering you have hundreds or thousands of queries. Prioritisation determines what to create first. Use a matrix: traffic potential × achievability (inversely proportional to KD).

Tools

FAQ