Keyword Density
Keyword
density is an indicator of the number of times the selected keyword
appears in
the web page. But mind you, keywords shouldn’t be over used, but should
be just
sufficient enough to appear at important places.
If
you repeat
your keywords with
every other word on every line, then your site will probably be
rejected as an
artificial site or spam site.
Keyword
density is always expressed as a percentage
of the total word content on a given web page.
Suppose
you have 100 words on your webpage (not
including HMTL code used for writing the web page), and you use a
certain
keyword for five times in the content. The keyword density on that page
is got
by simply dividing the total number of keywords, by the total number of
words
that appear on your web page. So here it is 5 divided by 100 = .05.
Because
keyword density is a percentage of the total word count on the page,
multiply
the above by 100, that is 0.05 x 100 = 5%
The
accepted standard for a keyword density is
between 3% and 5%, to get recognized by the search engines and you
should never
exceed it.
Remember,
that this rule applies to every page on
your site. It also applies to not just to one keyword but also a set of
keywords that relates to a different product or service. The keyword
density
should always be between 3% and 5%.
Simple steps to
check the density:
- Copy
and paste the content from an individual web page into a
word-processing software program like Word or Word Perfect.
- Go
to the ‘Edit’ menu and click ‘Select All’. Now go to the ‘Tools’ menu
and select ‘Word Count’. Write down the total number of words in the
page.
- Now
select the ‘Find’ function on the ‘Edit’ menu. Go to the ‘Replace’ tab
and type in the keyword you want to find. ‘Replace’ that word with the
same word, so you don’t change the text.
- When
you complete the replace function, the system will provide a count of
the words you replaced. That gives the number of times you have used
the keyword in that page.
- Using
the total word count for the page and the total number of keywords you
can now calculate the keyword density.
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