Keyword Density Analyzer

Practical guide: density as a sanity check, not a target score

What this is

Density counts how often a term appears relative to total word count. Modern ranking systems use semantic models; repetition alone does not prove relevance. This tool helps you spot accidental stuffing or absent head terms after large edits—not to chase a magic percentage. Think of it as a spell-check for overuse, not a ranking formula.

When to run a density check

• After a heavy SEO rewrite where you fear you either stuffed or erased the head term.
• When comparing two drafts of the same brief before publishing.
• On product templates where legal or specs copy repeats the same phrase in every block.
• When a page reads awkwardly aloud—density often confirms what your ear already suspects.
• Alongside clustering work so related phrases share coverage without cloning one string—see keyword clustering without stuffing.

When density is the wrong lever

• Do not raise density to “match” a competitor’s percentage; match their depth of facts instead.
• Do not force exact-match phrases into every H2 when synonyms and entities answer the query better.
• Skip obsessing over density on brand or navigational queries where the page is already clear.
• Do not paste thin boilerplate just to dilute a high percentage—add useful sections or cut fluff.
• Never use density as a substitute for title, intent match, or meta that actually describe the page (meta descriptions that match).

How to use this tool

Paste final-draft body copy, add the exact phrases you care about (brand, product name, head term), and toggle stop-word handling depending on whether you analyze short UI strings or long articles. Compare primary term density to close variants and synonyms; natural writing usually spreads across related wording rather than repeating one string. Re-run after you fix headings so body and outline stay aligned.

Worked example

You publish a 1,200-word guide targeting “cold brew coffee ratio.” Draft A repeats that exact phrase 28 times (~2.3%) and still feels robotic because every section opens with it. Draft B uses the exact phrase 9 times (~0.75%), then varies with “grounds-to-water ratio,” “brew strength,” and “1:8 by weight,” while the H1 and first paragraph keep the head term clear. Density on Draft B looks “lower,” but coverage of the entity and related questions is higher. After analysis, you keep Draft B, add a short ratio table, and only bump the exact phrase where a section truly needs the search wording. That is density used as diagnosis, not as a scoreboard.

How to read the results

High density with low readability or awkward n-grams is a red flag even if the number is “within range.” Sudden drops after a rewrite might mean you deleted the main entity name—search engines need clear subject signals. Look at distribution: one keyword-stuffed intro paragraph skews totals; scan where phrases cluster. Status labels in the table are heuristics—pair them with human judgment and the SEO guide content section.

Common mistakes

• Treating 1–3% as law across every vertical and language.
• Forcing exact-match phrases where grammar wants a pronoun or brand name.
• Ignoring titles, headings, and anchor text while over-tuning body counts.
• Stuffing to beat a competitor’s length rather than adding facts, examples, or data.
• Analyzing nav chrome and cookie banners as if they were editorial body copy.
• Letting density tools rewrite your voice until the page no longer answers real questions.

QA checklist before you publish

1. Read the page aloud; flag any sentence that exists only to host the keyword.
2. Confirm the head term (or clear synonym) appears in H1 and early body without stuffing.
3. Check that related cluster terms appear where they earn a section, not as a list dump.
4. Compare density before/after edits; large unexplained spikes deserve a second pass.
5. Verify meta description and title are not stuffed copies of the same phrase.
6. Have a non-SEO teammate skim for natural tone—if they notice the keyword, revise.

Related reading

SEO guide · Keyword clustering without stuffing · Meta descriptions that match · Title tags that earn clicks. Related tools: keyword research, content brief, readability checker.

Before / after: density scare on a product template

Before: A PDP template repeated the product name in breadcrumb, H1, three trust badges, and every spec row. Density for the exact model string looked “high,” so a junior editor deleted the name from the H1—hurting clarity for users and crawlers.

After: The team kept one clear H1 with the model name, shortened badge alt text, and moved repetitive legal lines into a collapsed “specs” block. Density dropped naturally without removing the entity. Lesson: fix template repetition first; do not erase the subject from the headline.

Density vs entities vs questions

Search engines care whether the page covers the entity and the questions people ask—not whether you hit 2.0%. Use this tool to catch extremes, then outline unanswered questions (how-to steps, comparisons, constraints, costs). Pair density checks with a content brief and a readability pass so optimization does not flatten voice. If two drafts have similar density but one answers three more user questions with examples, ship the richer draft.