Is keyword density still important?

Not as a fixed target. Natural coverage and useful content matter more than hitting a percentage.

Stopwords are common words like `the`, `and`, or `is` that usually add noise to frequency analysis.

Why does a fetched page include unexpected words?

Extraction can include some template text, navigation, or repeated labels. Use the result as a guide, not a perfect crawl.

Can this find missing topics?

It can show current emphasis. Use Content Optimizer or Content Gap Mapper to compare missing concepts against competitors.

Keyword Research

Live

Word Frequency Analyzer

Frequency, density, and stop-word filtering for any corpus.

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Input

Paste text or fetch a URL — see word frequency and density.

Fetch a page and extract its main text

Remove common stopwords

Min length: 3

Show top 25

Top words

33 unique · 36 tokens

search
8.3%
3
content
5.6%
2
engine
2.8%
1
optimization
2.8%
1
practice
2.8%
1
getting
2.8%
1
traffic
2.8%
1
organic
2.8%
1
results
2.8%
1
good
2.8%
1
seo
2.8%
1
requires
2.8%
1
technical
2.8%
1
work
2.8%
1
writing
2.8%
1
link
2.8%
1
building
2.8%
1
most
2.8%
1
reliable
2.8%
1
wins
2.8%
1
come
2.8%
1
fixing
2.8%
1
boring
2.8%
1
fundamentals
2.8%
1
first
2.8%
1

Start here · What is word frequency?

Word frequency counts how often each word appears in a piece of text. Density shows each word's share of the counted tokens.

This analyzer lets you paste text or fetch a URL, remove common stopwords, set minimum word length, choose how many top words to show, and copy a CSV.

Use it to understand what a page emphasizes. It is not a keyword-stuffing tool, and high density is not a ranking goal by itself.

When to use this tool

Page focus check
See whether the most common meaningful words match the topic your page is supposed to cover.
Overuse review
Catch repeated jargon, brand terms, or keyword stuffing before publication.
Competitor comparison
Fetch a ranking page and compare its dominant vocabulary with your draft.
Editorial cleanup
Export CSV counts to share concrete word-use feedback with writers.

Examples

Walk through these with the form above — they are practice scenarios, not live data.

Blog draft focus

Try this

Paste a 1,200-word article about internal linking.

What to look for

Expected top words might include links, pages, anchor, and crawl. Irrelevant terms near the top may show drift.

Product page keyword stuffing

Try this

Fetch a product page where the same phrase appears in every section.

What to look for

Check density percentages and rewrite repeated phrases into natural benefits and specifications.

Short tutorial

Follow in order the first time you use the tool; later you can skip to the step you need.

Step 1 - Paste or fetch text
Use the main page copy. Fetched URLs extract main text where possible.
Step 2 - Choose filters
Keep stopword removal on for SEO review. Raise minimum length if short words create noise.
Step 3 - Scan top words
Ask whether the vocabulary matches the page promise and search intent.
Step 4 - Review density
High density can be normal for a central topic, but awkward repetition should be rewritten.
Step 5 - Export CSV if needed
Copy the CSV for deeper comparison, writer feedback, or content QA notes.

More detail

New here? Skim Start here first, then run one Examples scenario in the form above.

Word Frequency Analyzer does one job: frequency, density, and stop-word filtering for any corpus. It lives under Keyword Research on SEOToolkits, where the beginner idea is simple: Keyword research is how SEOs understand the words people use and the intent behind those words.

FAQ

Is keyword density still important?: Not as a fixed target. Natural coverage and useful content matter more than hitting a percentage.
What are stopwords?: Stopwords are common words like the, and, or is that usually add noise to frequency analysis.
Why does a fetched page include unexpected words?: Extraction can include some template text, navigation, or repeated labels. Use the result as a guide, not a perfect crawl.
Can this find missing topics?: It can show current emphasis. Use Content Optimizer or Content Gap Mapper to compare missing concepts against competitors.