Term
Keyword Research
Systematic identification of the search terms a target audience uses — basis for content planning, site architecture, and prioritization. Delivers keywords with search volume, competition, and search intent.
Keyword Research — explained in more detail
Keyword research combines several data sources: SEO tools (Ahrefs, Semrush, Sistrix) for search volume and competition, Google Search Console for already-realized impressions, Google Suggest and “People Also Ask” for long-tail variants, forums and Reddit for unfiltered user language. Pure tool-based research underestimates long-tail reality — most search queries are unique.
The target metrics are not only volume and competition but also search intent (informational, transactional, navigational, commercial) and the cluster structure: which keywords belong together topically and should be treated as a topic cluster? Good research ends with a prioritized roadmap, not an Excel list.
Example / In practice
For a B2B shop with 2,000 products, research starts with category terms (volume + competition), is enriched with long-tail variants (“product X for use case Y”), and ends with cluster maps: category page → product detail → guide content. Without that hierarchy, internal keyword conflicts emerge.
Distinction from similar terms
Long-tail keywords are a sub-result. Search intent is the qualitative dimension. Content gap analysis looks at what competitors cover and you don’t — a variant of research focused on gaps rather than volume.
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Content Gap Analysis
Content gap analysis identifies topics and keywords that competitors rank for but your site doesn't — or doesn't cover well enough. Delivers a content roadmap based on concrete SERP gaps.
LexikonKeyword Research — Methodology and Tools from Seed to Mapping
The keyword research process: seeds, expansion, evaluating metrics, clustering by search intent, mapping to page types. Long-tail, tools, and common mistakes.
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