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Keyword density measures the proportional presence of a target word or phrase relative to the total document volume:
$$\text{Density (\%)} = \left( \frac{\text{Keyword Frequency} \times \text{Words in Keyword}}{\text{Total Word Count}} \right) \times 100$$
Modern search engines evaluate topic breadth using natural language understanding. Analyzing 2-word (bigram) and 3-word (trigram) phrases reveals secondary supporting concepts (e.g. 'content marketing strategy', 'search engine rankings'), ensuring comprehensive topical coverage without repetitive keyword usage.
Scenario: Checking keyword distribution for an article targeting 'cloud backup'.
1,000-word article mentioning 'cloud backup' 18 times
'cloud backup': 18 occurrences (3.6% 2-word density) | Status: Borderline High
Recommends reducing mentions to 12-14 occurrences (2.4% density) for optimal balance.
Scenario: Analyzing phrase patterns in a software landing page draft.
Software landing page text
'project management software' (6x, 1.8%), 'real time collaboration' (4x, 1.2%)
Confirms secondary long-tail keywords are properly represented.