Keyword Strategy
If you've been told to aim for a 1–2% keyword density in your content, you've been given advice that was questionable in 2015 and is actively harmful now. Not harmful in a "Google will penalise you" sense, but harmful because it focuses your attention on the wrong metric while the signals that actually move rankings go unmeasured.
This post explains why keyword density became a metric, why it stopped mattering, and what a modern approach to keyword usage actually looks like.
Early search engines were essentially keyword matching machines. If a page contained the phrase "best running shoes" more often than a competing page, it was more likely to rank for that phrase. The ratio of keyword occurrences to total words — keyword density — was a rough proxy for relevance.
SEO practitioners noticed this, started optimising for it, and for a while it worked. The formula was simple: hit 2% density, rank. Then Google introduced latent semantic indexing, then BERT, then the Helpful Content update, then a series of algorithm changes that shifted the relevance signal away from term frequency and toward something much harder to game.
Modern ranking systems evaluate content against a model of what a comprehensive, authoritative answer to a query looks like. The signals are not about how many times you wrote the keyword. They are about:
None of these are measured by counting how many times you used a phrase.
When writers focus on hitting a density number, they tend to repeat the exact target phrase even in contexts where a pronoun, synonym, or related term would read more naturally. This creates two problems:
Example: A page about "home espresso machines" that uses that exact phrase 18 times but never mentions "portafilter", "extraction time", "crema", "grind size", or "boiler" is semantically thin compared to a page that uses those terms naturally in context — even if the second page uses the target phrase only 4 times.
The replacement for keyword density isn't a different ratio to hit — it's a different way of thinking about keyword use entirely.
Before you write, identify not just the primary keyword but the cluster of related terms, questions, entities, and subtopics that belong to the subject. Tools like pageseoscore's keyword panel surface search volume data for these related terms so you can prioritise which ones to cover.
Write the content as if you are explaining the topic to a knowledgeable colleague. Don't count keywords as you go. When you've finished a draft, check which of your target semantic terms appear and which are missing. Add the missing ones naturally — not by stuffing them in, but by expanding sections that warranted more depth anyway.
Your H2 and H3 headings contribute significantly to how Google understands your content's topical structure. Each heading should address a distinct sub-topic. If your headings are all variations of the same phrase, you have a density problem masquerading as a structure problem.
There are a handful of places where the primary keyword genuinely matters for on-page SEO:
Beyond those placements, use the keyword when it fits naturally. If you find yourself using it more than once in every two or three paragraphs, read those passages aloud — if they sound repetitive, they are.
Instead of tracking keyword density, track:
Many SEO tools still display keyword density because it's easy to calculate and users expect to see it. Treat it as a sanity check only: if your density is 0.1% for a core term, you've probably forgotten to include it enough. If it's above 3–4%, you've probably over-stuffed. Everything in between is essentially noise.
The useful number isn't how many times you used the keyword — it's how many of the topic's related terms you've covered and how well your content structure signals topical authority.
Keyword density was a useful heuristic when search was a keyword matching exercise. It isn't that anymore. The content that ranks now, and that AI engines cite now, is content that covers a topic comprehensively, structures information so it's easy to extract, and reads naturally because it was written for humans rather than for a word count target.
Stop counting. Start covering.
pageseoscore's Editor plan surfaces keyword volume data and checks how well your draft covers the topic — free with your email address.
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